Omenar

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[Victor Popov @popovcornell]

https://t.co/LVLCTklSHx

As AI scales to industry-wide adoption, it is becoming clear that the future economy will be denominated in compute cycles as much as in human labour. Yet the most valuable computation in the world has no market. AI compute — the matrix multiplications that power every model — runs inside data centres you cannot own, trade, or borrow against: a multi-trillion-dollar asset with no way to price, hold, or finance it.

Meanwhile, real-world assets moved on-chain. Robinhood Chain put equities, ETFs, and other tokenised assets into a single 24/7 market that anyone can trade and post as collateral. Every asset class arrived — except the one powering the entire AI economy: matrix multiplication.

For years compute and capital markets ran side by side with nothing to connect them. It was widely believed you could not prove a unit of AI work was real, useful, and fairly priced without trusting the provider. That belief was wrong.

[Omenar @omenaronx]

Omenar is now live, and it is open.

Website: https://t.co/mEmZAOMdGz. Read the vision, the whitepaper, and see our two products, Verified Inference and Prove.

GitHub: https://t.co/aoDaNkjZbU

The full frontend plus a reference backend you can clone and run yourself: an OpenAI-compatible inference endpoint that returns the model's answer and a proof, a public verify endpoint, and the OMENAR settlement logic.

A project about verifiable compute should be verifiable itself. Read the code, run it, check the proofs. This is just the start.

[Omenar @omenaronx]

The Omenar plugin drops into an existing pipeline with no retraining, no extra round trips, no second cluster, and no added latency.

The kernel is a drop-in replacement for the standard MatMul call and adds only minimal overhead.

Verified compute is minted as OMENAR and settles on Robinhood Chain, where it trades alongside tokenized assets and can be posted as collateral.

This is the “2-for-1” that changes the unit economics of inference. The hundreds of billions of dollars of compute already deployed for AI can, at effectively no extra cost, also produce a verifiable, tradable asset — lowering the price customers pay per token while giving operators a new stream backed by real, proven work.

[Omenar @omenaronx]

A serverless inference endpoint serves an instruction-tuned open model through the same OpenAI-compatible API as any other, priced below the standard rate.

What makes it different is invisible to the caller: every request is served through Omenar's kernel, so the forward pass that produces the answer also produces a proof that the computation was genuinely performed.

That proof is Proof of Verified Compute. It settles OMENAR to the operator for the work, and that settlement is what funds the lower price.

The customer gets the same model and API; the operator turns a forward pass they were already running into a second, verifiable output that pays for itself.

[Victor Popov @popovcornell]

For years people said you couldn't prove a unit of AI compute was real, useful, and fairly priced without trusting the provider. So the most valuable computation in the world sat locked away, with no market.

They were wrong. The same forward pass that powers a model can, at the same moment, mint a proof that the work happened. One computation, two outputs. That is what turns compute into an asset you can actually own.

[Omenar @omenaronx]

https://t.co/qZpDwyTYzp

[Victor Popov @popovcornell]

Since the beginning, the most valuable computation in the world has been locked away. AI compute runs inside data centers you can't own, trade, or borrow against. A multi-trillion-dollar asset with no market.

Meanwhile, tokenized stocks moved on-chain. Robinhood Chain put equities, ETFs, and real-world assets into a single 24/7 market anyone can trade and post as collateral. Every asset class arrived, except the one powering the entire AI economy: matrix multiplication.

For years compute and capital markets ran side by side with nothing to connect them. It was widely believed you could not prove a unit of AI work was real, useful, and fairly priced without trusting the provider. They were wrong.

The same matrix multiplication that powers AI can, at the same moment, mint a verifiable, tradable asset. Every GPU cycle doing double duty. Settled on Robinhood Chain, it is compute you can own, trade, and post as collateral right next to your stocks.

An asset class built for the age it lives in, backed by the most valuable computation in the world. All that was missing was the proof.

[Omenar @omenaronx]

The most valuable computation in the world finally has a market.

This is the start. Follow @omenaronx and come see what we're building.

[Omenar @omenaronx]

The matrix multiplications behind every AI model are the most valuable computation on earth.

Right now you can't see them, verify them, or own them.

We built Omenar to change that.

[Omenar @omenaronx]

Anyone can check the proof without rerunning the work or trusting the operator.

So Omenar is two things at once: a market for AI compute, and a trust layer for it. Backed by math, not promises.

[Victor Popov @popovcornell]

If you work on any of this, I'd really like to talk. LinkedIn is the quickest way to reach me, so drop me a message there. https://t.co/fdi3qOekXF

Most of what we're building at Omenar comes down to a handful of problems we still haven't fully solved.

How to prove a floating point matrix multiplication without a heavy proof, how to make proofs comparable across different GPUs and precisions, how to verify someone's private model weights in zero knowledge, and how to design a market for a compute asset that trades around the clock.