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financing

The robot AI data platform Mecka AI has completed a $60 million financing round, led by Framework Ventures

According to Fortune, the startup Mecka AI, which focuses on training data for robotic AI, announced the completion of a total financing of $60,000,000, including a $25,000,000 Series A round completed last November and a subsequent $35,000,000 follow-on financing. Both rounds were led by Framework Ventures, with participation from institutions such as Menlo Ventures, SV Angel, and Kindred Ventures.Mecka AI primarily collects human motion data through body sensors, iPhones, and custom hardware, including physical behavior data such as gestures and gait, to train robotic AI models.The company's founder and CEO, Josh Gao, stated that its core philosophy is to train robots using human behavior data rather than traditional teleoperation data, thereby enhancing the general capabilities of robots in the real world.It was introduced that Mecka AI was established in 2025 and currently has about 40 employees. The company claims that based on signed contracts, its annual recurring revenue (ARR Run Rate) is expected to reach $100,000,000, but it has not disclosed a specific client list.Vance Spencer, co-founder of Framework Ventures, stated that Mecka AI is one of the fastest-growing companies in the institution's portfolio.In the future, Mecka AI plans not only to provide training data but also to directly participate in the training and deployment of robotic models, promoting the commercialization of robots in real-world scenarios.

Data: In May, the total financing amount in the cryptocurrency market reached 2.21 billion USD, driven by infrastructure and DeFi

According to statistics from the tokenized asset data platform RootData, the total disclosed financing amount in the crypto primary market in May 2026 is approximately $2.21 billion, with a total of 62 financing events disclosed. In terms of the distribution of financing tracks, market funds are still mainly flowing into DeFi, infrastructure, and CeFi, while institutional attention on trading, payment, compliance, and institutional-level services continues to increase.DeFi has become the most active track this month, completing 26 financing events, covering areas such as stablecoins, liquidity protocols, on-chain trading, and yield strategies; the infrastructure track ranks second with 18 financing events, as capital continues to bet on underlying technologies, AI+Crypto, middleware, and on-chain scalability; CeFi has completed 12 financing events, although the number of events is less than DeFi, it performs outstandingly in terms of financing amount, with significant increases in large strategic financing.The top three projects by financing amount are: the parent company of the South Korean exchange Dunamu ($667 million), payment infrastructure project Reap ($600 million, acquisition), and institutional-level stablecoin infrastructure Arc ($222 million). In addition, the prediction market platform Kalshi ($200 million) and on-chain compliance company Elliptic ($120 million) also received significant financing. The top five financing projects this month totaled over $1.9 billion, accounting for about 85% of the overall disclosed financing scale.In May, multiple high-value financings were concentrated in the fields of exchanges, payment infrastructure, prediction markets, and on-chain compliance analysis. In particular, projects related to trading and institutional services such as Gemini, Coincheck, SignalPlus, Variational received financing, indicating that the market is positioning itself around the next phase of incremental funds and institutional demand.In terms of investment institutions, Kraken, Paradigm, Sequoia Capital, Coinbase Ventures, Dragonfly, HashKey Capital continue to remain active, with top capital preferring to bet on projects with clear business models and institutional service capabilities. Overall, the financing market in May shows a trend of gradually returning from high narrative-driven to infrastructure, financial services, and real demand scenarios.
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