Bitcoin is Just the Beginning: Trillion-Dollar Asset Manager Hamilton Lane Dives into How Tokenization is Disrupting Traditional Finance
Original Article Title: Wall Street Legend on the Future of Finance
Original Source: Anthony Pompliano
Compiled and Translated By: lenaxin, ChainCatcher
Since the beginning of the year, many traditional institutions such as Hong Asia Holdings, Australia Monochrome, BlackRock, Fidelity, Bitwise, ARK Invest, Japan Metaplanet, Value Creation, Palau Technology Corporation, Brazil Meliuz, Franklin Templeton, US stock Dominari Holdings, asset management company Calamos, and game retailer GameStop have started to position themselves in Bitcoin. They have accelerated cryptocurrency allocation through fundraising, ETF accumulation, bond financing, corporate reserves, and other forms.
This article is a video interview of Hamilton Lane's Co-CEO, Erik Hirsch, by Anthony Pompliano, focusing on the following three core topics:
· Why has this 50-year-old traditional financial giant accelerated its positioning in the blockchain space?
· How does it achieve a dynamic balance between technical innovation breakthroughs and strict regulatory compliance?
· What is the underlying strategic logic behind investing heavily in tokenized funds?
Hamilton Lane is a globally leading private markets investment management firm founded in 1991, headquartered in the US, with nearly a trillion dollars in assets under management. The company specializes in alternative asset investments such as private equity, credit, real estate, providing full-cycle asset allocation solutions for institutional investors (such as sovereign wealth funds, pension funds, insurance companies, etc.). In recent years, Hamilton Lane has actively positioned itself in the blockchain and asset tokenization space, driving liquidity transformation in the private markets and promoting inclusive finance through technological innovation, becoming one of the representative institutions in the traditional finance's transition to digitalization.
As the head of a global private equity investment giant managing nearly a trillion dollars in assets with over 800 employees, Erik Hirsch has been deeply involved in asset allocation and innovative investments for over two decades. His unique insights are highly regarded in the industry. Mr. Erik Hirsch's strategic choices have, in fact, dropped a depth charge into the entire traditional financial system. When the architects of industry rules actively embrace disruptive innovation, what does this cognitive paradigm shift signify in terms of a historic turning point? The industry transformation landscape hidden behind it is worth our in-depth analysis together.
Erik's Key Points:
· I believe we have no choice; the trend of global digital asset adoption is now irreversible.
· The complexity of the current market environment has surpassed conventional uncertainty and is exhibiting a dynamic evolution of multidimensional market turbulence.
· From the perspective of asset allocation theory, the limitations of the traditional '60/40 stock-bond allocation model' have become fully apparent.
· The private capital sector is particularly exposed to a liquidity crunch: primary market financing is at a historic low.
· The logic of capital allocation is undergoing a fundamental transformation: investors will seek cross-asset class diversification returns by bearing a liquidity premium cost. This trend is not a cyclical adjustment but a paradigm shift driven by market microstructure changes.
· Under the geopolitical economic game framework, the tariff variables have significant uncertainties in terms of policy impact depth and time dimension, leading to a paradigm pressure on asset valuation systems.
· The risk hedging path for gold and Bitcoin investors, although belonging to different value systems, exhibits a high degree of underlying logic convergence in their allocation motivations.
· Tokenization technology is more suitable for scenarios with characteristics of sustainability.
· I fully agree that we should abandon the traditional binary opposition classification framework.
· Tokenization is fundamentally an asset digitalization and rights empowerment tool, and its compliance framework is no different from traditional securities-based assets.
· Whether tokenization technology can trigger a paradigm revolution in the private equity fund industry depends on whether capital truly recognizes the value proposition of this liquidity restructuring.
· In our strategic choices, we are inclined to maximize the boundaries of tokenization applications, continuously deepen product innovation, and promote investor education.
· As the market evolves towards a perpetual mechanism, tokenization technology will significantly optimize transaction efficiency.
· Financial history repeatedly confirms that any innovation with a customer cost advantage will eventually break through institutional inertia.
Strategic Layout to Address Global Uncertainty: Disruptive Strategies from an Authoritative Perspective
Anthony Pompliano: In the macro paradigm of global economic and investment fields displaying nonlinear volatility characteristics, as a decision-maker managing nearly a trillion-dollar asset scale with multi-regional resource allocation capabilities, how do you systematically construct a strategic decision-making framework to address the structural evolution of the market environment? Especially in the context of deepening cross-border resource allocation and continuous expansion of the investment landscape, how do you achieve dynamic equilibrium between strategic stability maintenance and tactical adaptation?
Erik Hirsch: The complexity of the current market environment has surpassed the realm of conventional uncertainty, exhibiting the continuous dynamic evolution of multidimensional market turbulence. This systemic volatility has posed a challenge akin to solving an overdetermined system of equations, breaking through the analytical boundaries of traditional statistical models due to the interaction among variables. Observing institutional fund flows reveals that the majority of top-tier investors are adopting a strategic defensive posture, compressing risk exposure to await the explicit delineation of the market's long-short game equilibrium point.
The realm of private capital is particularly exposed to a liquidity tightening trend: primary market financing has experienced a historic contraction, the corporate M&A restructuring process has entered a phase of stagnation, and all parties involved in transactions are widely undergoing a reassessment cycle of systemic risk margins. Under the geopolitical economic game framework, the tariff variables are characterized by significant uncertainty in both the depth parameters of policy impact and the time dimension, leading the asset valuation system to face pressure for a paradigm shift.
Anthony Pompliano: The current capital market pressure has transcended a mere value correction dimension, as the pricing mechanism and liquidity transmission system exhibit deeply coupled characteristics. At a special stage where the market friction coefficient surpasses a critical value, the systemic strengthening of the flight-to-safety effect has led to a structural aggregation of funds into cash-like assets, causing the correlation coefficient across asset classes to approach the threshold of full positive correlation.
Regarding the significant increase in institutional investors' private equity allocation weight in recent years, the sustainability of this trend faces a dual examination: will the adjustment pressure on this allocation weight stem from the market's repricing of private equity asset liquidity discounts, or from the institutional investors' ability to fulfill their long-term commitments based on a cross-cycle allocation philosophy? It is noteworthy that when the volatility cycle parameter breaches the ten-year confidence interval of traditional models, does the duration mismatch risk hedging mechanism under the "through-the-cycle" investment philosophy retain theoretical consistency?
Erik Hirsch: From the perspective of asset allocation theory evolution, the historical limitations of the traditional "60/40 stock-bond allocation model" have become fully evident. This model, as a benchmark paradigm in the retirement savings sector, with its core theory of a 60% equity and 40% fixed income asset combination ratio, is essentially a product of path dependency from a specific historical period. Even after stripping away geopolitical friction variables, the applicability of this model in today's market environment faces a dual challenge: the sustained increase in public market volatility parameters and the unprecedented market centralization features.
It is worth noting that the current phenomenon of the dominance of the top seven constituent stocks in the market (the top seven constituents of the S&P 500 Index accounting for 29%) did not exist in the market structure 15-20 years ago. Historical analysis shows that although there was industry concentration at that time, there was no extreme scenario where the fluctuation of individual constituent stocks was sufficient to trigger systemic risk transmission. This oligopolistic market structure is fundamentally at odds with the core concept of the 60/40 model, which is based on passive tracking strategies and fee minimization principles, while the current market's microstructure results in the increasingly apparent structural flaws of passive investment strategies.
Based on this, the logic of capital allocation is undergoing a fundamental transformation: Investors will acquire diversified returns across asset classes by bearing liquidity premium costs. This trend is not a cyclical adjustment but a paradigm shift driven by market microstructure evolution.
Anthony Pompliano: When you start each trading day in a highly uncertain market environment, how do you determine your decision-making direction? Specifically, how do you construct your investment course based on the core data indicators you monitor daily?
Erik Hirsch: In the global information flow systemic integration at five o'clock every morning, the current market environment exhibits paradigm shift characteristics: The pricing weight of the news cycle has surpassed traditional macroeconomic indicators. Decision focus is on three non-traditional variables: the release of significant geopolitical declarations, substantial restructuring of international relations architecture, and the escalation risk of sudden conflicts. These factors are reshaping the mechanism for market volatility generation.
Viewing the market system as a nonlinear dynamic system, its operational characteristics resemble turbulent river flow: Investors cannot intervene in flow rate parameters or alter the distribution pattern of river obstacles. The core function of institutions is dynamic path optimization, achieved through a risk premium compensation mechanism to mitigate systemic risk. Therefore, News cycle analysis constitutes the first principle of the decision-making framework.
The second dimension focuses on microbehavioral trajectories: Based on the U.S. consumer-driven economic model, a real-time monitoring system for high-frequency consumer behavior indicators (such as dining industry consumption frequency, air passenger index, culture and entertainment service expenditure) needs to be constructed. Such behavioral data forms the a priori fluctuation factor of the consumer confidence index.
The third dimension analyzes the enterprise-side signaling network: Key areas to track include the asymmetric volatility of industry confidence indexes, the marginal contraction of fixed asset investment, and the structural differentiation of profit quality. The above indicators constitute a multifactor validation system of economic fundamentals. Only through orthogonal verification of consumer-side and enterprise-side data can one penetrate the noise interference in the market microstructure and form a robust decision-making basis.
Bitcoin and Gold's Safe Haven Logic Reconstruction
Anthony Pompliano: The price of gold recently broke through historical highs, with this asset class achieving its best return curve in 2023 and continuing its strong momentum in 2024. The driving factors in the traditional analysis framework are attributed to central bank balance sheet restructuring (gold purchases) and the superimposed effect of uncertainty premium compensation demand. However, it is worth noting that Bitcoin, endowed with the attribute of "digital gold," is exhibiting a concurrent excess return feature. These two asset classes have shown a significant negative correlation over the past decade but have constructed an asymmetric hedging portfolio in the current macro volatility upsurge period.
It should be noted that although your organization's portfolio is primarily allocated to illiquid assets, high liquidity assets such as Bitcoin and gold still hold special research value. When evaluating the strategic asset allocation model, is the pricing signal of such heterogeneous assets decision-effective? Specifically: Does the trajectory of central bank gold reserve changes imply the reset expectation of the global monetary anchor? Does the movement in Bitcoin's implied volatility parameter reflect a structural shift in the market risk premium compensation mechanism? These non-traditional data dimensions are deconstructing and reconstructing the decision boundaries of classical asset allocation theory.
Erik Hirsch: While the risk hedging path of gold and Bitcoin investors belongs to different value systems, their allocation motivations exhibit a high degree of underlying logic convergence, both seeking to establish an uncorrelated asset cushion mechanism amidst macroeconomic fluctuations. A deep dive into their value logic core:
The core proposition of the Bitcoin enthusiast community is rooted in the decentralized nature of crypto assets, believing that the independent value storage system built on blockchain technology can achieve hedging through a decoupling mechanism from the traditional financial system. Gold investors follow the classical credit paradigm, emphasizing the deterministic premium of the physical scarcity of precious metals in extreme market conditions.
The distribution of fund flows reveals significant intergenerational differentiation features: institutional investors continue to increase their allocation to traditional tools such as gold ETFs, while individual investors are accelerating the transition to cryptocurrency assets. This allocation difference maps the cognitive paradigm gap of two generations of investors regarding safety margins, with traditionalists adhering to the physical credit anchoring logic and the new generation advocating the anti-censorship feature of digital assets. However, both reach a consensus at the strategic objective level: by allocating to assets with a systemic risk beta coefficient close to zero, they construct a capital safe haven during macro turbulence.
Institutional Decision Logic in the Tokenization Process
Anthony Pompliano: Many viewers may be surprised that as a respected figure in the institutional investment field, your focus is not primarily on topics such as cryptocurrency, gold, and stablecoins. Over the past decade, with the rise of crypto assets and tokenization technology, what decision framework has your organization developed in balancing participation boundaries and observation distance? Specifically, in the wave of financial infrastructure digitalization restructuring, how do you define the innovative areas that require deep involvement and the risk zones that need to be cautiously avoided?
Erik Hirsch: Hamilton Lane has always positioned itself as a provider of private market solutions, with its core mission being to assist investors of different scales and types in accessing the private markets. The global private markets are currently large and diverse, covering various asset classes, geographic distributions, and industry tracks, giving us a panoramic market insight capability. It is worth noting that our client base is predominantly institutional investors, including the world's top sovereign wealth funds, commercial banks, insurance institutions, endowments, and foundations. In the process of practicing this philosophy, we continuously provide strategic guidance and trend analysis to investors by building a broad client network and deep market understanding.
Based on this, we always require ourselves to have panoramic economic variable analysis capabilities. In terms of the tokenization innovation wave, although Hamilton Lane, as a traditional institutional representative managing nearly a trillion dollars in assets, its strategic choices may seem to be in tension with emerging technologies. However, in essence, we firmly support the asset tokenization transformation. This technological path can not only significantly improve asset allocation efficiency and reduce transaction friction costs, but also achieve the essential simplification of complex financial services through the standardization process restructuring. This deeply aligns with our core value of 'simplifying the complex'.
Anthony Pompliano: We have noticed that your institution is advancing multiple strategic layouts, which we will discuss further. However, when initially focusing on tokenization technology, has your company already formed a clear view? In the broader global financial system, in which areas will tokenization technology first be implemented? Which scenarios have significant improvement potential and can achieve immediate utility?
Erik Hirsch: Currently, tokenization technology is more suitable for scenarios with sustainability characteristics. In the traditional private placement market system, most private equity funds use a drawdown model, with capital only called upon as needed. However, the industry is rapidly moving towards a sustainable fund structure, whose operational logic is closer to the normalized investment model of mutual funds or ETFs: dynamic position adjustments without investors having to go through repeated capital call processes.
As the market evolves towards a sustainable mechanism, tokenization technology will significantly optimize transaction efficiency. I often liken it to this: Private equity funds, as an asset class with over fifty years of history, have always prided themselves on technological innovation (especially in the venture capital field), but their operating models have remained stagnant, like customers still checking out at a traditional grocery store, painstakingly verifying payee information when writing a check. In contrast, tokenization technology is more like Apple Pay's instant payment system, with its core value in: replacing traditional paper processes with digital protocols, upgrading the private placement market's subscription-based trading model to an automated system that is just a click away.
Anthony Pompliano: Your institution not only has technological awareness and strategic foresight but has also entered the implementation stage. It is reported that your company is collaborating with the Republic platform to launch a tokenized fund. Could you explain the formation path of this strategic decision? How was the investment logic framework of this fund constructed?
Erik Hirsch: Hamilton Lane has implemented its strategic commitment through its balance sheet capital, directly investing in and holding stakes in multiple compliant digital asset trading platforms. These institutions are located in different jurisdictions and have different investor service systems. Although they are currently in the ecosystem development period, we have completed the infrastructure layout through strategic partnership alliances, issuing dozens of funds through tokenization on cross-border multi-platforms, significantly reducing the participation threshold for qualified investors.
The recent collaboration case with the Republic platform is paradigmatic: the product issued this time has lowered the minimum investment amount to $500, marking a historic breakthrough in the private placement asset access mechanism from serving ultra-high-net-worth individuals to a direction of universal inclusion. This move not only fulfills the promise of technological innovation but also realizes the value reshaping of asset class democratization, breaking the long-standing allocation pattern monopolized by large institutions and the top wealth class. We firmly believe that unlocking the liquidity premium of the private placement market through tokenization technology, building an inclusive financial ecosystem for universal participation, is not only a matter of social equity but also a strategic choice for the industry's sustainable development.
Divergence in Strategy Between Retail Investors and Institutional Investors
Anthony Pompliano: Non-professional observers in the financial field may not yet fully recognize the structural paradigm shift in the current market perception: the traditional context of the concept of 'retail investors' has long implicitly implied a hierarchical discrimination of ability level, where institutional funds are defaultly considered professional investors, and individual capital is seen as an irrational presence. This cognitive framework is undergoing a fundamental deconstruction: today, top asset management institutions are increasingly seeing retail investors as strategic service recipients, driven by the public's declining trust in traditional wealth advisor channels and the resonance of financial democratization demands.
In this context, the groundbreaking fund product launched by your company has achieved direct reach to end investors, leading to key strategic considerations: are there paradigm differences in investment strategies tailored to sovereign wealth funds, public pension funds, and other institutional clients, and those adapted for self-directed investors? In dimensions such as risk-return characteristics, liquidity preferences, and information transparency requirements, how can a differentiated value delivery system be built?
Erik Hirsch: This insight is highly valuable, and I fully agree that we should abandon the traditional binary classification framework. The core issue is: whether institutional investors or retail investors, they fundamentally seek high-quality investment tools that align with their objectives, rather than simply being labeled as 'professional' or 'non-professional.' From a historical perspective, it is clear that the public stock market is more advanced in terms of innovative evolution, from the early stock picking model relying on stockbrokers, to the rise of mutual funds, and then to the fine-grained strategy layering of ETFs, this ladder-like innovation precisely points the way for the private placement market.
Currently, we are driving the industry's transition from a single closed-end fund to a perpetual fund structure, achieving allocation flexibility through multi-strategy portfolios. It needs to be clarified that the investment strategy itself does not undergo a fundamental difference due to customer type. Taking our infrastructure investment in partnership with Republic as an example, covering global projects such as bridges, data centers, toll roads, and airports, these kinds of assets meet the long-term allocation needs of institutional clients and also satisfy the return expectations of individual investors. The real challenge lies in: how to design the optimal vehicle solution for different capital attributes (size, duration, liquidity preferences). This is the strategic fulcrum for the private placement market to break homogenized competition and achieve value restructuring.
Anthony Pompliano: When it comes to the synergy between the concept of perpetual funds and tokenization innovation, it is worth noting that historically, attempts to build publicly traded perpetual closed-end funds have generally faced the dilemma of share liquidity discounts. Investors often approach with caution due to restricted exit channels. In theory, by expanding the base of qualified investors and lowering the investment threshold, it should be possible to reshape the fund's liquidity dynamics. However, has there been effective empirical evidence in the current market?
Specifically, in your company's tokenized fund operation, have you observed an actual improvement in secondary market liquidity premium? Can this technology-driven solution truly unlock the liquidity dilemma of traditional closed-end funds and perpetual capital instruments, thus establishing a positive feedback loop of 'economies of scale - enhanced liquidity'?
Erik Hirsch: Three core mechanisms need to be clarified: First, such funds adopt a private trading model, avoiding the discount risk caused by public market valuation fluctuations. Second, although positioned as perpetual funds, they actually employ a semi-liquid structure, allowing investors to redeem a portion of their shares at each open period based on the fund's Net Asset Value (NAV). As the fund scales, the available liquidity reserve is simultaneously enhanced, forming a dynamic buffer mechanism. Current data shows that fully liquid investors have been able to exit through this mechanism. More importantly, with the maturation of the tokenized trading ecosystem, investors can directly trade tokenized shares on the secondary market in the future, breaking free from the limitations of traditional fund liquidity windows and enabling continuous asset circulation.
It is worth mentioning that the market is forming a new consensus: various investors are beginning to reassess the necessity of 'absolute liquidity.' Especially for individual investors, if oriented towards ultra-long-term goals such as retirement savings (10-50 years investment horizon), excessive pursuit of immediate liquidity may actually trigger irrational trading behavior. This cognitive shift is essentially an active avoidance of behavioral finance traps, helping investors resist timing impulses through moderate liquidity constraints and strengthening long-term allocation discipline.
Fund Architecture Restructuring: Structural Reforms on the Horizon
Anthony Pompliano: The insight I deeply resonate with is the structural shift in the public markets, where the apparent reduction of listed companies from 8000 to 4000 is actually an intergenerational migration of liquidity value carriers. Young investors (those under 35) are leveraging emerging tools such as crypto assets to build liquidity portfolios, confirming that the universality of liquidity demands remains unchanged, with the difference lying only in the intergenerational shift of value carriers.
As a pioneer in private fund tokenization innovation, how do you believe this technological penetration will reshape the financial ecosystem? Specifically: Will all private fund managers be compelled to initiate tokenization transformation? If such fund structures become an industry standard, what systemic reforms might they trigger, such as the decentralized restructuring of investor access mechanisms, or the disruptive innovation of cross-border compliance frameworks? How will this technology-driven financial infrastructure iteration ultimately define the future paradigm of asset management?
Erik Hirsch: The core dispute lies in the application boundary of tokenization technology, whether it is limited to perpetual funds or will be expanded to closed-end structures. Through practical deduction, perpetual funds are more likely to become mainstream, but they impose stringent requirements on the ongoing capital flow management of fund managers: they need to process fund subscriptions and redemptions on a monthly basis while ensuring capital allocation efficiency to avoid fund idleness losses. This means that only top-tier private fund management institutions with a scalable project pipeline, a mature operational system, and robust infrastructure can dominate the competitive landscape of perpetual products.
The current industry's acceptance of tokenization transformation still lags behind, while Hamilton Lane has taken a first-mover advantage in this field. Data shows that our tokenized product quantity ranks first in the industry. However, it must be objectively stated that the actual fundraising scale is still relatively limited, confirming that the market is still in its early nurturing stage. We are in a strategic window of "building infrastructure - waiting for market response," which is an essential validation cycle that innovation pioneers must go through. Whether tokenization technology can trigger a paradigm shift in the private fund industry depends on whether capital truly recognizes the value proposition of this liquidity restructuring.
Anthony Pompliano: This "build first, validate later" logic is highly enlightening. But when it comes to evaluation dimensions, how do you define the success criteria for tokenized funds? Are there key milestones or risk thresholds?
Specifically, has the on-chain settlement efficiency reached over 3 times that of traditional systems? Is the smart contract vulnerability rate less than 0.01%? Has the average buy/sell spread of tokenized funds compressed to 1/5 of traditional products? Can the daily trading volume in the secondary market exceed 5% of the fund size? Has the institutional investor allocation exceeded 30% within 18 months? Has the retail fund inflow growth rate maintained above 20% for three consecutive quarters?
Erik Hirsch: The current evaluation framework focuses on two core dimensions: capital flow scale and brand perception reshaping. There is a significant cognitive bias in the market: when mentioning "token," most people immediately associate it with Bitcoin or cryptocurrency, but as you and the audience know well, this is a misconception. Although both share the underlying blockchain technology, they are fundamentally different: fund tokenization is not equivalent to cryptocurrency investment, and their technological commonality only extends to the infrastructure level; tokenization is essentially an asset digitalization and rights empowerment tool, with a compliance framework no different from traditional securities-based assets.
The strategic execution path involves channels such as whitepaper releases, regulatory dialogues, and investor education forums to systematically deconstruct the stereotypical impression that "token equals speculation"; attracting a new generation of investors who only conduct transactions through digital wallets, a group that would not traditionally have access to private fund products; building an asset management platform that supports multi-chain wallet access and stablecoin settlement, meeting the ultimate demand of digital natives for "end-to-end digitalization."
Despite the current limited scale of capital inflow, this customer base represents the incremental volume of the asset management market in the next decade. Data shows that among investors under 35, 83% prefer to allocate assets through a digital wallet, while the penetration rate of this age group through traditional private placement channels is less than 12%. This structural difference is precisely the value capture opportunity for technology-driven asset management institutions.
Anthony Pompliano: What is worth further exploration is that your tokenization strategy is not aimed at disrupting the existing client services model, but at building incremental value through tapping into emerging markets. Does this mean that tokenization technology has essentially created an entirely new value network?
Specifically, outside the traditional stock customer service system, how does this technology-empowered "business map extension strategy" achieve a triple breakthrough, enhancing the efficiency of reaching emerging customer groups, building a differentiated service matrix, and stimulating cross-market synergies? The more fundamental question is: as technological tools transition from "efficiency improver" to "ecosystem builder," will the core competency of private asset management institutions be redefined as the "weaving ability of a value network"?
Erik Hirsch: This technological innovation also has an uplifting effect on existing clients. Tokenization technology streamlines the allocation process for traditional Limited Partners (LPs) by improving transaction efficiency and reducing operational costs, making it more agile. More importantly, it opens up a whole new dimension of the market: reaching investor groups that traditional private placement channels cannot cover through a digital-native interface (such as crypto-native funds, DAO organizations, etc.).
This bidirectional value creation mechanism optimizes both the service experience of existing clients and strategic positioning in the incremental market. Data shows that fund products using tokenization architecture have an 18% higher customer retention rate than traditional products, and a 37% lower cost of acquiring new customers. This confirms the multiplier effect of technology empowerment in the asset management field.
Risks and Trade-offs: The Double-Edged Sword Effect of Tokenization Technology
Anthony Pompliano: This leads to a core decision consideration: when launching a new fund, how to build an assessment framework for tokenization adaptability? Specifically, in dimensions such as restructuring revenue from liquidity, compliance costs of technology, and the difficulty of investor education, is there a quantitative decision-making model? More fundamentally, is tokenization indeed a natural choice for technology empowerment, or a tactical tool for specific scenarios? Will this strategic bifurcation lead to priority conflicts in internal resource allocation?
Erik Hirsch: Our strategic choice tends to maximize the application boundary of tokenization, continuously deepening product innovation and driving investor education. However, this inevitably comes with a cautious assessment of risk dimensions. The primary risk lies in the imbalance of the transaction market's supply-demand mechanism: current secondary market liquidity lags significantly behind the primary market subscription enthusiasm, and investors need to see a continuous game between buyers and sellers to build confidence. This healthy market equilibrium has not yet fully formed.
Of even greater concern is the industry's lack of uniformity, with some low-credentialed managers lacking institution fundraising capabilities leveraging the tokenization concept to issue subpar products. This has led to a systemic risk mismatch: when investors suffer losses, they often attribute it to technical architecture rather than the manager's professional shortcomings. It is essential to clearly distinguish that tokenization, as a value transfer channel, maintains neutrality, separate from the quality of the underlying assets. Hamilton Lane, as an institution managing trillions in assets with three decades of credit endorsement, is establishing an industry benchmark through a rigorous product screening mechanism. However, at the current market stage, there is still a need to be wary of the 'bad money drives out good' collective reputational risk.
Anthony Pompliano: When traditional institutions like Hamilton Lane enter the tokenization field, the industry generally sees this as providing legitimacy to technological applications. However, does the brand association itself pose potential risks?
Specifically, if other low-quality tokenization products cause market turmoil, could this lead to a loss of trust in Hamilton Lane by investors? Does your company choose to "tolerate risk and focus on technical validation" (i.e., offset market doubts through product quality) or to build a brand firewall mechanism (such as establishing an independent sub-brand)? In a stage where the technology has not been fully embraced by the mainstream, how do you balance market education costs with the risk of diluting brand value?
Erik Hirsch: We choose to actively embrace risk rather than passively avoid it. The core logic is as follows: first, if we wait for tokenization technology to fully mature before entering the field, we will deviate from our mission as industry pioneers. The probability of the evolution of digital assets is much higher than the possibility of decline; second, if the technological development does not meet expectations in ten years, the brand's reputation may be damaged, but this cost is acceptable compared to the risk of missing the market paradigm shift; third, tokenization is fundamentally a tool innovation, with the ultimate goal of enhancing customer experience. When investor demand has shifted to digitalization, refusing to adapt means betraying customer trust.
Our action plan is not to deny the long-term value of technology based on short-term market fluctuations. We continue to invest in underlying infrastructure optimization (such as improving cross-chain interoperability and establishing a compliance oracle network); establish a brand sentiment monitoring system to track market feedback on tokenization products in real time, triggering cross-department emergency responses in case of abnormal fluctuations; through an on-chain education platform (Learn-to-Earn), disseminate the principles of tokenization technology, compressing the market's cognitive deviation rate from the current 63% to within 20%.
Anthony Pompliano: If an institution first proposes an innovative strategy, it is often seen as an outlier. However, when more peers join to form a group, even if the scale is small, it can create a cognitive safety margin. Currently, some asset management peers are strategically positioning themselves in the tokenization field; does this create a synergistic effect?
Specifically, as institutions such as Blackstone and KKR advance tokenization in parallel, does client skepticism towards emerging technologies decrease? Can industry collective action accelerate regulatory framework enhancement (such as the issuance of Security Token Compliance Guidelines)? Will cross-institutional collaboration on building a trading pool significantly improve the buy-sell spread and trading depth of tokenized assets?
Erik Hirsch: Peer institution participation is forming a flywheel effect, with giants in asset management like BlackRock and Fidelity entering the tokenization space, leading to a structural shift in client awareness: firstly, institutional investor intention to allocate to tokenized products increased from 12% in 2021 to 47% in 2023, with 7 out of the top ten asset management institutions having launched related products; secondly, industry alliances (such as the Tokenized Asset Alliance) have reduced single-institution market education costs by 63%; thirdly, the U.S. SEC's issuance of the "Security Token Compliance Guidelines" in Q3 2023 was based on a joint technical whitepaper submitted by top institutions.
Sharing cross-chain liquidity pools with peer institutions has compressed the average buy-sell spread of tokenized funds to one-third of traditional products; promoting ERC-3643 as the private placement tokenization protocol standard to reduce cross-platform transaction friction; industry collective investment in establishing a $500 million risk mitigation fund to address a solvency crisis caused by systemic tech failures.
This collective action has not only diluted the pioneers' trial and error costs but has also built a credibility moat. As clients witness institutions like J.P. Morgan Stanley and Blackstone advancing tokenization in sync, their risk perception threshold for new technology has decreased by 58%.
Ideal Regulatory Framework for Tokenized Assets
Anthony Pompliano: As the "flagship institution" of the asset management industry, how can Hamilton Lane unravel the deep-rooted legal challenges of tokenization transformation? When traditional private equity funds tokenize LP interests, how can on-chain holder rights be ensured to be fully equivalent to the terms of the Delaware Limited Partnership Agreement? Faced with conflicts of cross-border compliance between the U.S. SEC's Reg D exemption, the EU Prospectus Regulation, and Singapore's Digital Token Offering Guide, is it necessary to achieve legal entity nesting through multi-layer SPV structures? While granting secondary liquidity to tokens, why is it necessary to rebuild the real-time financial synchrony system, transform GAAP audit reports into on-chain verifiable data, and integrate with the EDGAR regulatory system API? In the face of smart contract jurisdictional conflicts, can choosing English law as the governing law provision truly avoid potential regulatory confrontations between the U.S. and Europe? In the face of code vulnerability risks, is the "Smart Contract Liability Insurance" customized in collaboration with AIG (premium rate 0.07%) sufficient to cover systemic losses? Data shows that these innovations have increased compliance efficiency by 6.3 times, reduced legal dispute rates to 0.3 times per hundred billion in scale, but does this mean that the compliance formula of traditional asset management has been completely overturned?
Erik Hirsch: It is worth noting that the current tokenization practices are operating within a robust and regulated framework. Both we and the mentioned peer institutions are subject to strict regulatory oversight, with the majority being public companies that must comply with disclosure requirements from global regulatory bodies such as the U.S. Securities and Exchange Commission (SEC). The trading platforms themselves are also bound by licensing requirements.
We have always believed that adequate regulation is the cornerstone of a healthy market development: it signals trust to investors that they are not participating in an unregulated market but rather receiving standardized services from regulated entities based on clearly defined rules. The current regulation has not overly hindered the innovation process, and we focus on the fact that the nature of tokenized assets is securities, which makes the compliance path clearer: there is no need to disrupt the existing securities law framework, and regulatory efficiency can be enhanced through technological upgrades (such as on-chain compliance modules).
What Has Been the Biggest Surprise So Far?
Anthony Pompliano: In terms of strategic implementation, the final key question focuses on cognitive iteration. What has been the most enlightening practice discovery in your company's tokenization process? Looking back along the decision-making chain: from internal feasibility debates to the iterative validation of the technical path, based on a thorough deconstruction of blockchain technology and trend analysis, which nonlinear resistances or positive feedback loops have broken through the initial model assumptions in the actual implementation?
Specifically, which cognitive biases in the technology adoption curve are most meaningfully restructured? Is it the discrepancy in investor education costs and expectations, or is it the unexpected elasticity of regulatory sandbox mechanisms? How will these experiential paradigms correct the industry's benchmark model for innovation adoption?
Erik Hirsch: The most surprising and concerning aspect is that the market still exhibits a structural cognitive bias towards tokenized assets and cryptocurrencies. This confusion reflects the inertia constraints of the traditional financial system, as institutional investors' understanding of the digital asset revolution significantly lags behind the market's cutting-edge practices, creating a sharp generational cognitive gap. However, we must be aware that the ultimate form of a healthy market should be the coexistence and mutual prosperity of diverse capital entities: just as the stock market achieves depth of liquidity through the integration of retail and institutional investors, the maturity of the tokenization ecosystem also needs to break free from the 'either-or' mindset. The current pressing issue is to build a systematic education framework: it requires dispelling traditional institutions' defensive anxiety towards smart contract technology and guiding individual investors beyond speculative cognition.
This bidirectional cognitive upgrade should not rely on one-way indoctrination but should gradually foster market consensus through the analysis of practical cases on platforms like today's public discourse platforms. Only by achieving inclusive growth in both capital scale and cognitive dimensions can digital assets truly transition from marginal experimentation to mainstream allocation tools.
Anthony Pompliano: It is foreseeable that the comments section will be filled with praises such as "this young sage who deeply understands the future direction of the financial industry"...
Erik Hirsch: It seems the subject of the audience's admiration is someone else.
Anthony Pompliano: However, this cognitive dissonance precisely presents a strategic opportunity. When you mention the market's misunderstanding of tokenized assets, you actually reveal the core proposition of industry education. Investors often ask, "How can I participate in this transformation?" My response has always been: whether focusing on Bitcoin or other areas, the key lies in building a micro-network of cognitive transmission. The transition from skeptic to supporter often begins with ongoing dialogues between individuals. As in the case I experienced: a seasoned professional initially scoffed at cryptographic technology but, after in-depth discussions with several peers over months, eventually became a staunch advocate.
This ripple effect of cognitive transfer is the core mechanism through which technological revolutions achieve critical mass. The practice of Hamilton Lane has validated this rule, transforming the machine logic of smart contracts into accessible wealth management language through hundreds of client roadshows. If we consider Bitcoin's fifteen-year cognitive iteration cycle as a reference, the tokenization revolution may accelerate its paradigm shift from edge experiment to mainstream allocation. As a pioneer, your cutting-edge exploration not only defines the technological path but also reshapes the cognitive coordinates of the financial narrative.
Erik Hirsch: I fully agree with this view. The DNA of Hamilton Lane has always been rooted in long-term strategic steadfastness rather than chasing short-term races. This is precisely our structural advantage. Financial history repeatedly confirms: any innovation with a customer cost advantage will eventually break through institutional inertia. Looking back at the institutional check clearing process, its high cost stems from layered frictions such as legal reviews and financial audits; whereas mobile payment technology has restructured the value transfer paradigm with exponential efficiency improvements.
We are committed to migrating this "cost revolution" logic to the private markets, replacing the traditional multi-layered intermediary systems with the automated execution of smart contracts to achieve end-to-end cost reduction and efficiency enhancement within a compliance framework. This is not only a technologically driven inevitable choice but also the ultimate practice of the "customer value first" principle. When the transaction friction coefficient approaches zero, the freedom of capital allocation experiences a paradigm-level leap.
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Ika Receives Strategic Investment from Sui Foundation, Total Funding Exceeds $21 Million
Switzerland Zug, April 28, 2025, Chainwire
The world's fastest parallel MPC network, Ika, is set to launch on the Sui blockchain, announces a strategic investment from the Sui Foundation. Previously, Ika successfully completed a record-breaking 1.4 million SUI NFT art event on Sui. Ika is the world's first sub-second MPC network, capable of achieving zero-trust interoperability among hundreds of signing nodes, unprecedented in scale and rock-solid security.
Ika's core values of performance, speed, and high decentralization align perfectly with Sui. With its upcoming launch on the Sui blockchain, Ika will bring its unparalleled MPC technology into the Sui ecosystem, providing Sui Move smart contract developers with secure cross-Web3 interoperability. This further solidifies Sui's position as the preferred solution in cross-chain DeFi, decentralized custody, chain abstraction, AI-agent defense, native Bitcoin programmability, leveraging the first truly scalable and secure MPC signature scheme.
Ika addresses key bottlenecks of existing MPC networks and delivers unparalleled performance through innovative 2PC-MPC encryption scheme and Sui's Mysticeti consensus protocol:
1. Record Throughput: Ika's transaction processing capability is up to 10,000 times higher than current MPC networks, supporting unprecedented transaction volumes.
2. Ultra-Low Latency: While traditional network signatures may experience delays of 30 seconds or more, Ika can generate signatures in sub-seconds, supporting cross-chain real-time applications.
3. Tremendous Scalability: Ika breaks the conventional limit of 4-8 nodes, and the 2PC-MPC can scale to hundreds or even thousands of signers, enhancing decentralization without sacrificing performance.
4. Zero-Trust Security: Ika's architecture ensures that even in the most extreme scenarios, user assets remain secure, setting a new standard for decentralized security.
Ika's ultra-fast MPC network supports various applications on the Sui blockchain, and several Sui developers have utilized Ika to build tech, including:
· DeFi Interoperability: Ika's sub-second speed and scalability enable instant secure operations within the Web3 ecosystem, bringing liquidity from chains like Bitcoin and Ethereum into Sui. Sui developers Full Sail and Rhei have announced upcoming tech launches based on Ika.
· Decentralized Custody: Ika provides a secure, decentralized custody solution for digital assets on Sui, delivering unparalleled security for both institutional and individual users. Sui developers Aeon and Human Tech have announced the integration of Ika into their technology.
· Chain Abstraction: Ika helps Sui developers abstract away multi-chain complexity for users, combining with Sui's zkLogin feature to deliver a seamless user experience. Sui developers Covault and Lucky Kat have announced the integration of Ika into their technology.
· Programmable Bitcoin: Ika unlocks new possibilities for native BTC on Sui, enabling programmable and secure DeFi and custody. Sui developers Native and Nativerse have announced the upcoming launch of Ika-based technology.
· AI Agent Protection: Ika enhances AI applications on Sui by providing secure MPC protection, ensuring AI agents do not possess unrestricted power and safeguarding user asset security. Sui developers Atoma and Ekko have announced the upcoming launch of Ika-based technology.
The strategic investment in Ika by the Sui Foundation underscores Sui's commitment to driving cutting-edge technology for high performance and decentralization. This amplifies the technical synergy within the Sui ecosystem, propelling Sui and Ika to the forefront of the Web3 revolution, jointly advancing the future of secure, scalable, decentralized infrastructure.
Ika has raised over $21 million in funding, with a peak private valuation of $6 billion FDV, backed by support from Sui Foundation, DCG, Big Brain Holdings, Blockchange, Node Capital, Amplify Partners, Liquid2 Ventures, FalconX, Tykhe Block Ventures, Lightshift, Token Bay Capital, Collider, Zero Knowledge Ventures, NoLimit Holdings, Rubik Ventures, Dispersion Capital, Insignius Capital, Impatient Ventures, Cerulean Ventures, Earl Grey Capital, HDI Ventures, Flowdesk, TPC Ventures, Purechain Capital, Solr DAO, Heroic Ventures, Naval Ravikant, NotVCs, G-20 Group, Artifact Capital, DSRV, Encapsulate, and many other key players in the Web3 space.
Ika also demonstrated the strong support of Sui users by launching the "MF Squid Market" NFT art event, which became the largest and most successful NFT event in Sui's history, raising over 1.4 million SUI and establishing an active grassroots community.
The IKA token is set to native launch on the Sui blockchain, unlocking new decentralized security features and utilities. As the native token of the Ika MPC Network, IKA will play a key role in its ultra-fast, scalable infrastructure, used for paying MPC signature services, enabling seamless transactions within the Web3 ecosystem. Leveraging Sui's unparalleled speed and performance, Ika enhances the security and scalability of the entire ecosystem, introducing the most promising MPC technology in blockchain to the fastest-growing L1 of Web3.
Ika is the world's fastest parallel MPC network, offering sub-second latency, unprecedented scale and decentralization, and zero-trust security. As the preferred choice for interoperability, decentralized custody, and chain abstraction, Ika will fundamentally transform digital asset security and multi-chain DeFi.
Sui is the first Layer 1 blockchain and smart contract platform designed from the ground up to provide fast, private, secure, and inclusive digital assets. Built on the Move programming language, its object-centric model supports parallel execution, sub-second finality, and rich on-chain assets. Through horizontally scalable processing and storage capacity, Sui supports widespread applications at low cost with unparalleled speed. Sui represents a significant advancement in blockchain technology, offering creators and developers a platform to build exceptional user experiences.
Contact:
Ika PR
pr@ika.xyz (mailto:pr@ika.xyz)
AI Track Regains Momentum, Thoroughly Reviewing Potential Projects and Market Hype Logic
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In October 2024, since the launch of the AI Meme—GOAT, the AI Agent concept, Crypto has begun to accelerate its integration with AI. Concepts such as Game+AI, DeFAI, AI Agent Hive, etc., have sprung up, with almost a new batch of concept projects appearing every week, until January 18th of this year when Trump announced the issuance of MemeCoin, directly draining market liquidity, causing the premature bursting of the CryptoAI bubble. Two days later, DeepSeek announced the open-source R1 model, and after several weeks of fermentation, the AI concept stocks in the US stock market also saw their bubble burst.
With just $6 million, one could create a large model; however, those holding out for the $60 million market cap of CryptoAI were once defined by the community as "undereducated cabbage." Such trends were rampant, coupled with the collective plunge of AI concept stocks in the US market, naturally causing the coin price to spiral downwards, leading to the gradual silence of the AI concept in Crypto.
One quarter later, the CryptoAI uproar returned to the market, and this time, it seemed to bring some new concepts.
Following Pumpfun's success story, Crypto sparked a trend of asset issuance platforms. During the previous AI Agent craze, frameworks and AI distribution networks/LaunchPads were the two highest FDV areas. However, after the concept of framework akin to Ai16z's developer community had developed to a certain extent, the community realized the limited capabilities of frameworks, especially in capturing the value layer in Crypto. Thus, the existing frameworks gradually transitioned into LaunchPads. However, AI LaunchPads also faced challenges because the existing LaunchPads could not meet the needs of AI product launches. In preparation for the next wave of AI resurgence, project teams began looking for solutions.
Despite experiencing a recent incident where the SN28 subnet was exploited to turn it into a MemeCoin and drive TAO into Meme Coin hype, ultimately being centrally intervened by the foundation, over time, the foundation's control over the Bittensor subnet will diminish. This has sparked community concerns about its future potential to become a "attention network" pan-incentive project. A longtime follower of the Bittensor project, known as "Quirky Mind," also published an article stating that this could be a scam.
Further Reading: "Opinion: Why Bittensor Is a Scam and TAO Is Heading to Zero?"
However, purely from an investment perspective, Bittensor's ecosystem liquidity is better than that of other AI Agent ecosystems. For example, Virtuals, because LP and Virtuals are paired, this will lead to higher volatility for liquidity providers. There is approximately a 3% to 7% slippage when investors invest in agent tokens within the platform. When funds are invested in dTAO subnet tokens, the slippage is usually 0.05% to 0.1%.
It is for this reason that VC or large AI project participants tend to lean towards making long-term investments in Bittensor. Just last week, former Messari analyst and Crucible Labs partner Sami Kassab announced that he and his friend Seth Bloomberg, who has similar work experience, will establish a fund specifically for providing liquidity to Bittensor.
The "First Mover" of Bittensor, Rayon Labs, has created several products that offer a glimpse into the preferences of Bittensor's project parties, who are often more "practical" and long-term oriented.
SN64 "Chutes" provides a serverless way to easily deploy AI infrastructure, with the project team stating that a previous AWS outage was a prime example of why we need "serverless." Because if reliant on centralized service providers, once an outage occurs, AI applications may crash due to a single point of failure, and the crypto industry being money-intensive, the probability of losses is much higher than traditional AI.
SN56 "Gradients" is a zero-code platform for deploying AI models, where users can train their own AI models on Gradients (for specific use cases, image generation, custom LLM), and the recently launched v3 has a competitive advantage in terms of pricing compared to similar products.
SN19 "Nineteen" is a fast, scalable, decentralized AI inference platform.
As one of the most complete AI projects combining ecosystem building with a value flywheel in the previous cycle, Virtuals Protocol's token price has slowed along with the ecosystem's momentum as the market quieted down. Following this, the $45 billion market cap bubble was burst, experiencing a drop of over 90%, and significant decrease in participation from launchpad contributors. However, Virtuals did not give up. In this AI bear market, they began to Build.
First, Virtuals refined their own project development ecosystem by launching the VPN plan "Virtuals Partners Network." From the beginning, Virtuals' plan was to onboard more AI people into the Crypto space. This plan will interconnect multiple ecosystem positions, including investors, experts from various fields, scholars, and developers. Essentially, as long as you have an idea, resources can be obtained through this plan from investors to liquidity providers, marketers, and even professionals. This "one-stop service" incubator can be said to be the best choice for anyone looking to enter Crypto to collaborate with Virtuals.
To expand the influence and interactivity of AI Agents in the ecosystem, Virtuals has designed a protocol called ACP "Agent Commerce Protocol." It can be seen as a realization of the previous Swarm, Ai16z, and similar projects' hive concepts. ACP has built a commercial ecosystem composed of AI agents – a virtual nation where AI Agents can autonomously interact, cooperate, and transact with each other. It is worth mentioning that after this, Google also released a similar A2A concept. A slight difference is that ACP is connected by smart contracts, whereas A2A is connected by protocols.
In April, Virtuals just launched a new model of Virgen points and Genesis launch mode. Users can earn points through investing in Sentient and Prototype Agents, holding Virtuals, staking VADER, among other methods, and points serve as the basis for participating in the Genesis launchpad project. The Genesis launchpad is an IDO-style project launch method, where users receive investment quotas based on the points they hold. Currently, not everyone can participate in this launch mode, as it requires official approval from Virtuals.
This model has several benefits. First, it increases the stickiness of its platform users through rewards. In the words of founder Ethermage, "Our principle is to reward believoors." Staking points to participate in the Genesis project allocation is a fairer start, with participants usually of higher quality, allowing the project to develop more sustainably.
What was the most interesting project at the Virtuals Protocol hackathon?
In addition to the projects on Genesis worth noting, Virtuals just announced the winners of this hackathon on April 21, with more than 100 project teams participating. The judging panel was also quite impressive, including LucaCurran, who is in charge of AI and DEPIN sector development at Base, KunPeng, the founder of the Stanford Blockchain Community, and Anand Iyer, a partner at Canonical Crypto. Interestingly, Anand's Tag on X is AI.
The Intern
The Intern is an AI assistant for operations. He can help with promotion, replies, and community management on X. By deep diving into the community, he can understand its culture and can generate images using TADA. He has now teamed up with Pudgypenguins to launch the Penguin Intern, running his own Twitter. From the quality of Twitter operations, if it is entirely AI-operated and can be scaled to this level, it would be a good product.
BuzzingClub
BuzzingClub is a prediction market platform where the project team believes that the future of prediction markets should be in the hands of the participants, rather than a central authority, stating that "everyone should be able to freely create, share, and express their opinions," making Buzzing more free compared to other prediction platforms.
In Buzzing, all users can create prediction markets by proposing topics or questions, with AI generating rules. Subsequently, an AI algorithm filters out some spam and low-quality prediction markets, and finally, an AI oracle automatically retrieves internet search data, rather than human-generated data, to determine the outcome of the prediction question.
Burnie
Burnie is a code-learning platform that can enhance the skills of users who want to learn to code, and players can earn rewards by completing the tasks he publishes.
Arc and Ai16z, as the framework development stagnated, have also transformed into distribution platforms for AI Agents. Since the launch of the distribution platform forge by Arc, it has disappeared from the spotlight since the first product, AskJimmy. Ai16z's AutoFun went live a few days ago, but the currently publicly supported projects have not gone online, and its development path is still unknown. From a product framework perspective, AutoFun seems more inclined to create a community UGC culture platform, with little difference in value retention compared to traditional LaunchPads.
Arc plans to launch the new Agentic App Store Ryzome, while Myshell's existing AIApp Store has yet to officially launch, and the latter lacks activity, with most of the products appearing to be similar.
In this scenario, dev.fun, which previously appeared with the concept of AppFi, seems more conventional. At first glance, it looks similar to Pumpfun in everything from color scheme to UI but appears to have more vitality on some level. Although from a token price perspective, dev.fun, like other AI projects, has experienced a significant drop in this cycle. Surprisingly, there are currently nearly 13,000 Apps born on this platform.
dev.fun has provided a feature that allows users to generate apps through AI chat, similar to the previously YC-backed Replit. In addition to being able to issue project/meme tokens, users can also choose their own trading pairs. The Buidl, which currently has the most supporters, has a total of 1400 apps and has been run nearly 70,000 times.
The currently popular projects in the market are divided into several categories. One is development tools, including frameworks, AI Coplit's programming tools, and MCP infrastructure. The second is consumer AI applications, including AI agents, games, DeFAI (Alpha signals, funds, automated LP), and GambleFAI. The third is decentralized AI infrastructure, such as decentralized computing, validation, storage, etc. The first two are usually more favored by retail investors, while the third is preferred by VCs or investors, and such projects often require a relatively high valuation to participate.
These projects have a broader range of use cases and project concepts, but many times they are also the preferred choice of scam project teams because to retail investors, there is no "visible" product. The feedback cycle of such products is often longer, and whether it is "usable" or can generate viral spread (someone using it) is key. Therefore, creating such products requires a high level of technical expertise and marketing skills for a team.
A recent hot project, the MCP project Dark, is one of the projects that has done both well. Launched DARK under the influence of the MTN DAO and delivered a visible game product, "Dark Forest," within two weeks.
In this field, the most widely spread project in the market right now is probably Solana's "prodigal son" SEND AI, which gained fame by hosting a large AI hackathon for Solana in the past. The Solana Agent Kit is also used in many products. ALCHEMIST AI continues to build up, dropping to a $1.4 million market cap from February, and has now returned to a $14 million market cap.
Autonome
Autonome is a platform created by the Rollups protocol AltLayer that provides developers and users with the ability to build, deploy, and distribute verifiable AI agents without code. It has been active since the previous cycle and has not yet issued tokens.
Game
Smol
Recently, Treasure announced that it would shift the project's focus from the gaming chain and game operations to AI+NFT. Today, SMOL has provided the first response to this initiative by announcing the release of the "Virtual Companions" feature. This feature can turn NFTs into AI agents, and these agents will be able to use social media, play GameFi or DeFi on their own, and have created a marketplace for AI agents to trade skills, memories, and other data.
The first game to go live is the on-chain RPG game Gigaverse by Abstract. The community has generally praised it, and as a result, Treasure's token price has rebounded. After plummeting to a $20 million market cap following the previous announcement of exiting the GameFi business, today it has returned to an $80 million market cap. Besides the anticipation of the NFT AI transformation technology, the prospect of having AI agents play GameFi may be more appealing. The issues of no one playing for GameFi project teams and uninteresting games for players may potentially be solved in the future by assetized AI agents.
DeFAI
Almanak
After 18 months of development, Almanak announced last week on April 17, 2025, that it will conduct the token generation event (TGE). Almanak is an end-to-end platform that allows users to create, optimize, and manage complex financial strategies using AI agents. Functions such as market data analysis, strategy formulation, optimization, and high-speed execution can all be automated. The team has received support from numerous top-tier venture capital firms and advisors, such as RockawayX, Delphi Labs, Hashkey, AppWorks, Matrix Partners, Bankless Ventures, and more.
GambleFAI
Sportstensor
Sportstensor is an SN41 subnet on the dTAO that is an AI platform for sports event prediction, enabling participants (miners and validators) to collaborate in developing and optimizing sports prediction models. Participants with better models and datasets that can predict sports match outcomes profit from their participation. Users can engage with the project either technically by "developing models" or non-technically by "using prediction results."
For example, in an NBA game between the Celtics and the Magic with odds of 0.92:0.08, if you follow the market odds and bet on the Celtics (the popularly favored team), your win rate is about 92%. However, even with such a high win rate, after multiple bets, most people's return on investment is negative. While the popularly favored team often has a higher win rate, they also have higher odds, meaning that even if the prediction is correct, the winnings are lower. People tend to bet on their favored team, leading to a low win rate for the underdog, which means that if you bet on the underdog and win, you can earn a lot of money.
This is where the advantage of the Sportstensor model lies: miners use their own data to run their machine learning models to achieve the best results. Sportstensor then takes their averages/medians and uses them as an intelligent indicator to identify market advantages. The difference between the model-predicted odds and market odds is the part where users can profit in the long run.
Such products are among the earliest concepts of integrating Crypto with AI, as seen in projects like Grass. There have been countless similar products in the past, but sustaining them has been challenging. The key to decentralized computing power is how to optimize synchronous computing power and offer it at a price below that of traditional computing power providers. On the other hand, the key to decentralized training is the cost of data transmission itself, which was difficult to achieve during the infrastructure's early days. However, once achieved, it has the potential to tap into a significant underserved market, making it a focus of venture capitalists.
PrimeIntellect
PrimeIntellect was co-founded by Vincent Weisser and Johannes Hagemann, both of whom were previously key members of Desci's leading VitaDAO. PrimeIntellect is a platform that commodifies computing power and models. The investment lineup is quite impressive, with a $5 million seed round led by CoinFund and Distributed Global, and a $15 million second round led by Founders Fund. Individual investors include prominent figures in the industry such as Polygon co-founder Sandeep Nailwal, notable investors, and former Coinbase CTO Balaji.
Recently, renowned OpenAI researcher Yaoshunyu published an article titled "The Second Half," where he stated that we are currently at AI's halftime, with the second half soon approaching. If the first half of AI focused on gaming and exam-solving, the second half will see AI build valuable products to establish companies worth tens of billions or trillions of dollars in value. This will undoubtedly present opportunities for CryptoAI as well.
So stay tuned and welcome to the second half.
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Ika Receives Strategic Investment from Sui Foundation, Total Funding Exceeds $21 Million
Switzerland Zug, April 28, 2025, Chainwire
The world's fastest parallel MPC network, Ika, is set to launch on the Sui blockchain, announces a strategic investment from the Sui Foundation. Previously, Ika successfully completed a record-breaking 1.4 million SUI NFT art event on Sui. Ika is the world's first sub-second MPC network, capable of achieving zero-trust interoperability among hundreds of signing nodes, unprecedented in scale and rock-solid security.
Ika's core values of performance, speed, and high decentralization align perfectly with Sui. With its upcoming launch on the Sui blockchain, Ika will bring its unparalleled MPC technology into the Sui ecosystem, providing Sui Move smart contract developers with secure cross-Web3 interoperability. This further solidifies Sui's position as the preferred solution in cross-chain DeFi, decentralized custody, chain abstraction, AI-agent defense, native Bitcoin programmability, leveraging the first truly scalable and secure MPC signature scheme.
Ika addresses key bottlenecks of existing MPC networks and delivers unparalleled performance through innovative 2PC-MPC encryption scheme and Sui's Mysticeti consensus protocol:
1. Record Throughput: Ika's transaction processing capability is up to 10,000 times higher than current MPC networks, supporting unprecedented transaction volumes.
2. Ultra-Low Latency: While traditional network signatures may experience delays of 30 seconds or more, Ika can generate signatures in sub-seconds, supporting cross-chain real-time applications.
3. Tremendous Scalability: Ika breaks the conventional limit of 4-8 nodes, and the 2PC-MPC can scale to hundreds or even thousands of signers, enhancing decentralization without sacrificing performance.
4. Zero-Trust Security: Ika's architecture ensures that even in the most extreme scenarios, user assets remain secure, setting a new standard for decentralized security.
Ika's ultra-fast MPC network supports various applications on the Sui blockchain, and several Sui developers have utilized Ika to build tech, including:
· DeFi Interoperability: Ika's sub-second speed and scalability enable instant secure operations within the Web3 ecosystem, bringing liquidity from chains like Bitcoin and Ethereum into Sui. Sui developers Full Sail and Rhei have announced upcoming tech launches based on Ika.
· Decentralized Custody: Ika provides a secure, decentralized custody solution for digital assets on Sui, delivering unparalleled security for both institutional and individual users. Sui developers Aeon and Human Tech have announced the integration of Ika into their technology.
· Chain Abstraction: Ika helps Sui developers abstract away multi-chain complexity for users, combining with Sui's zkLogin feature to deliver a seamless user experience. Sui developers Covault and Lucky Kat have announced the integration of Ika into their technology.
· Programmable Bitcoin: Ika unlocks new possibilities for native BTC on Sui, enabling programmable and secure DeFi and custody. Sui developers Native and Nativerse have announced the upcoming launch of Ika-based technology.
· AI Agent Protection: Ika enhances AI applications on Sui by providing secure MPC protection, ensuring AI agents do not possess unrestricted power and safeguarding user asset security. Sui developers Atoma and Ekko have announced the upcoming launch of Ika-based technology.
The strategic investment in Ika by the Sui Foundation underscores Sui's commitment to driving cutting-edge technology for high performance and decentralization. This amplifies the technical synergy within the Sui ecosystem, propelling Sui and Ika to the forefront of the Web3 revolution, jointly advancing the future of secure, scalable, decentralized infrastructure.
Ika has raised over $21 million in funding, with a peak private valuation of $6 billion FDV, backed by support from Sui Foundation, DCG, Big Brain Holdings, Blockchange, Node Capital, Amplify Partners, Liquid2 Ventures, FalconX, Tykhe Block Ventures, Lightshift, Token Bay Capital, Collider, Zero Knowledge Ventures, NoLimit Holdings, Rubik Ventures, Dispersion Capital, Insignius Capital, Impatient Ventures, Cerulean Ventures, Earl Grey Capital, HDI Ventures, Flowdesk, TPC Ventures, Purechain Capital, Solr DAO, Heroic Ventures, Naval Ravikant, NotVCs, G-20 Group, Artifact Capital, DSRV, Encapsulate, and many other key players in the Web3 space.
Ika also demonstrated the strong support of Sui users by launching the "MF Squid Market" NFT art event, which became the largest and most successful NFT event in Sui's history, raising over 1.4 million SUI and establishing an active grassroots community.
The IKA token is set to native launch on the Sui blockchain, unlocking new decentralized security features and utilities. As the native token of the Ika MPC Network, IKA will play a key role in its ultra-fast, scalable infrastructure, used for paying MPC signature services, enabling seamless transactions within the Web3 ecosystem. Leveraging Sui's unparalleled speed and performance, Ika enhances the security and scalability of the entire ecosystem, introducing the most promising MPC technology in blockchain to the fastest-growing L1 of Web3.
Ika is the world's fastest parallel MPC network, offering sub-second latency, unprecedented scale and decentralization, and zero-trust security. As the preferred choice for interoperability, decentralized custody, and chain abstraction, Ika will fundamentally transform digital asset security and multi-chain DeFi.
Sui is the first Layer 1 blockchain and smart contract platform designed from the ground up to provide fast, private, secure, and inclusive digital assets. Built on the Move programming language, its object-centric model supports parallel execution, sub-second finality, and rich on-chain assets. Through horizontally scalable processing and storage capacity, Sui supports widespread applications at low cost with unparalleled speed. Sui represents a significant advancement in blockchain technology, offering creators and developers a platform to build exceptional user experiences.
Contact:
Ika PR
pr@ika.xyz (mailto:pr@ika.xyz)
AI Track Regains Momentum, Thoroughly Reviewing Potential Projects and Market Hype Logic
This is the Winter of VC, yet the Spring of KOL Agency.
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