a16z CSX is backing OpenGradient. How is it rewriting the funding narrative with 'verifiable AI'?
Last year, I was chatting with a buddy in investments, and he said raising funds for AI projects is a real struggle these days, with hundreds of teams all talking about 'stronger computing power and bigger models.' I asked if there was any project that really caught his eye, and after a moment, he said, 'There's one that's not about the computing power; it's about trust.'
That project is @OpenGradient OpenGradient. It got selected into a16z Crypto's fall accelerator CSX, which only accepted a handful of projects, with a high rejection rate. What a16z is interested in isn’t the size of the model but its foundational direction—'verifiable AI.' While everyone else is piling on computing power and chasing scores, OpenGradient is building a foundational network where AI can be audited, verified, and held accountable.
Less than a month after graduating from the accelerator, it secured $8.5 million in seed funding. The list of investors reads like a who's who of the crypto industry: a16z crypto, Coinbase Ventures, SV Angel, Foresight Ventures, along with Balaji Srinivasan, NEAR founder Illia Polosukhin, and Polygon founder Sandeep Nailwal. These folks aren't just in it for another AI toy; they're betting that when AI takes over high-risk fields like finance, healthcare, and law on a massive scale, verifiability isn’t just a nice-to-have, it’s the ticket to entry.
The team's background is solid too: CEO Matthew Wang has done quantitative work at Two Sigma and has experience at NASA, Meta, and Google; CTO Adam Balogh was the tech lead for Palantir's AI Platform. They're not building big models; they're creating 'detectors' to verify big models. When the market finally realizes that 'non-verifiable AI is a ticking time bomb,' OpenGradient will hold the only defuse tool in hand.
#opg $OPG
Last year, I was chatting with a buddy in investments, and he said raising funds for AI projects is a real struggle these days, with hundreds of teams all talking about 'stronger computing power and bigger models.' I asked if there was any project that really caught his eye, and after a moment, he said, 'There's one that's not about the computing power; it's about trust.'
That project is @OpenGradient OpenGradient. It got selected into a16z Crypto's fall accelerator CSX, which only accepted a handful of projects, with a high rejection rate. What a16z is interested in isn’t the size of the model but its foundational direction—'verifiable AI.' While everyone else is piling on computing power and chasing scores, OpenGradient is building a foundational network where AI can be audited, verified, and held accountable.
Less than a month after graduating from the accelerator, it secured $8.5 million in seed funding. The list of investors reads like a who's who of the crypto industry: a16z crypto, Coinbase Ventures, SV Angel, Foresight Ventures, along with Balaji Srinivasan, NEAR founder Illia Polosukhin, and Polygon founder Sandeep Nailwal. These folks aren't just in it for another AI toy; they're betting that when AI takes over high-risk fields like finance, healthcare, and law on a massive scale, verifiability isn’t just a nice-to-have, it’s the ticket to entry.
The team's background is solid too: CEO Matthew Wang has done quantitative work at Two Sigma and has experience at NASA, Meta, and Google; CTO Adam Balogh was the tech lead for Palantir's AI Platform. They're not building big models; they're creating 'detectors' to verify big models. When the market finally realizes that 'non-verifiable AI is a ticking time bomb,' OpenGradient will hold the only defuse tool in hand.
#opg $OPG