The proof layer for AI model decisions

Does that new model actually beat what you run today?

Every week another model tops a leaderboard, but none of those tests run on your work. Run your own benchmark, on your own data, and see for yourself, then learn which model is cheapest at the quality you actually need. Neutral, receipted proof, re-provable on demand as prices and models change.

No credit card. Your keys, your data. Only the results you choose become a proof.
RANKED · transcription cheapest at your 0.85 bar
deepgram · nova-3-medical
winner · 40% cheaper
0.883
$294/mo
aws · transcribe-standard
incumbent
0.879
$487/mo
openai · whisper-1
below your bar
0.820
$122/mo
$/mo projected at ~20k audio-min/mo, provider list prices
every number carries a receipt →

Built for whoever has to defend the call.

Regulated teams
Proving a model to a reviewer or auditor.
Consultancies
Proving the recommendation to a client.
AI vendors
Proving accuracy and cost to an enterprise buyer.
Why RedCrown is different

A leaderboard can't tell you what works for you.

Public benchmarks rank models on someone else's test set. Cost tools ignore quality, quality tools ignore cost, and most eval harnesses now belong to a model vendor. RedCrown is the neutral layer that runs your own benchmark, on your data, and proves the decision on cost, quality, and latency, then keeps re-proving it as models change.

A neutral referee

We sell no models, take no cut of routed traffic, and answer to no lab. The proof has no thumb on the scale.

Your ground truth

Scored against your labeled data, not MMLU or Chatbot Arena. Auditable, item by item, with a dollar figure you can take to finance.

Receipts you can hand over

Every claim links to per-item evidence: outputs, diffs, audio, cost, as a no-login page your audience can check themselves.

Plus: any model including non-LLM OCR & ASR, expert review built in over magic links, on-demand re-proving as prices change, and your keys & data can stay on your machine.
Proof, with receipts

Real results from real client work.

Accuracy measured on real, anonymized client clips; monthly cost projected from per-minute list prices at the same volume. Built inside engagements where cost, accuracy, and privacy all mattered at once.

Clinical transcription provider

Transcription: 40% cheaper, more accurate

−40%
monthly cost
$487 → $294
88.3%
accuracy vs
87.9% incumbent
100%
critical-term
recall

Quality measured on the real clips. Monthly cost projected at ~20,000 audio-min/month from each provider's per-minute list price (AWS $0.024, Deepgram nova-3-medical ~$0.0145 est., Whisper $0.006).

Four speech-to-text configs head to head on clinical audio: the AWS Transcribe incumbent vs Deepgram medical models and Whisper, scored on word error rate, medical-term F1, and critical-term recall against ground-truth transcripts.

▤ See the receipts, clip by clip →
Clinical note generation

The newer model lost

75%
judge pass rate
vs 50% incumbent
−13%
cost per note

Cost-per-note projected from provider list prices; quality measured by the judge.

Six LLM configs generating notes through the client's real production prompts, scored by a pinned independent judge plus rule checks. A prior-generation model beat the newer one on both quality and cost.

▤ See the receipts, case by case →
Start free, no demo required

From zero to a shareable proof in two minutes.

Run anywhere, on your own machine, with your own keys. You see the ranked answer in your terminal before you make an account, and push only the results you choose.

redcrown · your machine, your keys
$ pip install redcrown
$ redcrown build-dataset primock57 --out exp.json
$ redcrown eval exp.json --report-json out.json  # local
$ redcrown login
$ redcrown push out.json --proof-link  # prints share URL

RANKED  transcription · cheapest at your 0.85 bar
 deepgram · nova-3-medical   0.883   $294/mo  ← winner, 40% cheaper
  aws · transcribe-standard    0.879   $487/mo  incumbent
  openai · whisper-1           0.820   $122/mo  below bar
proof: app.redcrown.ai/proof/…  # no login to view
Already ran an eval elsewhere? Import the JSON for the same ranked, shareable proof. Coding agents drive the same loop over MCP at mcp.redcrown.ai. The MCP server is open source on GitHub.
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For hands-on onboarding, security review, or procurement. We reply within one business day.

Find your cheaper, better config.

Prove your first task free, in your browser or your terminal. No sales call, no credit card.

Prove a task free → Get it on PyPI →