About RedCrown

RedCrown is the independent decision record for AI model selection. Bring a workload, test the candidates you are actually considering against the incumbent you run today, weigh quality, cost and latency against the threshold you set, bring in a blinded expert where a metric cannot decide, and end up with a decision someone outside your team can inspect and challenge.

Why independence matters, and how ours is structured

The hardest question in AI right now is "which model should we actually run, and can we defend that?" Most parties with an answer have a stake in it, and a benchmark nobody can audit is marketing. RedCrown exists to hold the decision, with no stake in which way it goes.

• No model-vendor money. RedCrown takes no payment, rev-share, or placement fees from any model provider. No vendor can buy a better ranking.
• No routing cut. RedCrown does not resell inference or take a margin on the calls you run. You bring your own provider keys; the calls run under your accounts, at your rates.
• Pinned, versioned methodology. Scoring and ranking run on a fixed, versioned methodology. Every proof records which methodology version produced it, so a result is reproducible and a change in method is visible.
• Receipts, not adjectives. Every claim on a proof is backed by per-item evidence and, optionally, a cryptographically signed attestation you can verify offline against our published key.

What we believe

Agents and harnesses can run benchmarks for free. What is scarce is trust: a result a non-technical stakeholder, a buyer, or an auditor will accept. Our thesis is "run anywhere, prove here." The value is not the eval engine, it is the evidence system around it, the proof pages, the reviewer sign-off, the decision reports, and the re-proving loop that keeps a decision honest over time.

Who's behind RedCrown

RedCrown was built by data scientists, not by a model lab. We spent years shipping AI systems inside other people's companies: clinical transcription, document extraction, research pipelines, forecasting. The same question came up on every single project, and it almost never came from the engineer writing the code. It came from the person who had to approve the spend, or sign off on the output, or defend it to a client.

"How do you know that's the right model?"

We never had a good answer. We had public benchmarks that ran on someone else's data, a vendor's word for it, and an invoice. Picking a model was the highest-leverage decision on the project and the least evidenced one. So we built the thing we kept needing: run the comparison on the client's own data, then hand over a result they can check themselves, item by item, without taking our word for anything.

That is why RedCrown ranks on cost at equal-or-better quality instead of quality alone, why every number carries a receipt, and why we take no money from any model vendor. It is the tool we wanted back when we were the ones being asked the question.

On names and faces. There is no founder photo on this page. RedCrown is run independently of the consultancy its team came from, and it is kept that way on purpose. We know that is a fair thing to ask about before you put our proof in front of your client or your auditor, so we will not pretend otherwise: if you want to know exactly who you are dealing with, ask us and you will get a real person on a call and a straight answer, not a form reply.

For security and data handling, see our Security & Trust page. For how the product works across the app, CLI, and MCP, see the docs.

Talk to us

Evaluating RedCrown for a team, or want a neutral proof for a decision you have to defend?