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BCH $202.84 -0.92%
LINK $7.90 +0.26%
HYPE $59.14 +0.61%
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framework

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.

first_img Aave Labs has released an ARFC proposal aimed at establishing a unified standardized framework for the listing of technical assets

Aave Labs has released an ARFC proposal, suggesting the establishment of a standardized technical asset listing framework for Aave V3, V4, and Aave Horizon, setting unified technical requirements for asset listing, parameter expansion, and ongoing monitoring. The framework covers core areas such as ERC20 compatibility, oracles, permission control, minting and burning logic, pause and blacklist mechanisms, upgradability, exchange rates and yield mechanisms, token architecture, cross-chain bridge risks, audit and security history, and external dependencies. This framework does not replace market risk analysis and governance judgment but provides a technical qualification baseline.The framework aims to address "hidden risks" such as unlimited issuance, weak upgrade permissions, inconsistent bridging supply, opaque redemption paths, and reliance on off-chain custody. These issues may directly threaten the protocol's solvency, liquidation systems, and collateral parameter security. The framework particularly emphasizes additional scrutiny for cross-chain assets, yield-bearing assets, and off-chain dependent assets such as RWAs, including bridge structures, off-chain legal arrangements, custody mechanisms, and supply integrity. Assets with significant technical flaws may face reduced borrowing limits, restricted collateral parameters, delayed launches, or even recommendations to deny access to the protocol in the future.
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