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OpenGradient Raises $9M to Revolutionize AI Deployment Using Decentralization
- OpenGradient has raised a total of $9mn in seed funding from investors that include a16z CSX, Symbolic Capital, Coinbase Ventures, and SV Angel.
- OpenGradient has developed an end-to-end platform leveraging blockchain technology to decentralize AI infrastructure and provide computing resources and secure environment for hosting models on-chain.
- The company offers an innovative solution to enhance security using measures such as TLS, zero-knowledge machine learning (zkML), and hardware enclaves.
- The platform also aims to accelerate development and accessibility of open-source models while ensuring the model's verifiability through an EVM-compatible blockchain.
- The platform provides Web2 development environments that allow developers to create applications with added security and decentralization benefits.
- OpenGradient is a comprehensive library for AI models and is involved in research in emerging trends at the intersection of AI and cryptography.
- OpenGradient CEO Matthew Wang believes that secure computation should be able to secure end-to-end, and the company is working towards the same, with added security measures.
- The company offers a python SDK for Web2 AI developers and charge for compute on a per inference basis as its business model.
- OpenGradient currently has two to three years of runway to weather economic slowdown and believes that its innovative and recession-proof product will continue to secure end-to-end AI in the future.
- The next milestone for OpenGradient is to continue developing features on its platform and work with early launch partners and double down on client acquisition.
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