RedCrown runs your task across every model, provider, and config in parallel, then proves which one wins on cost, accuracy, and privacy, on your own data. And keeps re-proving it as prices and models change.
The old way is a single guess: pick a model once and hope. RedCrown turns that guess into evidence.
Send the same inputs across every model, provider, and config in parallel, LLM and non-LLM alike. Bring your own keys or let us consume models for you.
Every output is graded against your labeled ground truth and against each other, on cost, quality, and latency. Not a public benchmark. Yours.
Prices and models change weekly. RedCrown re-runs the proof on every change and alerts you the moment a cheaper or better config appears.
Cost tools do not measure quality. Quality tools do not optimize cost. Routers ask you to trust a black box. RedCrown is the one layer that does all of it, on your own ground truth.
The cheapest config that clears your quality bar, with a dollar figure you can take to finance.
Scored against your labeled data, not MMLU or Chatbot Arena. The proof is auditable.
We re-benchmark on every new model and price change. The decision never goes stale.
Classic OCR and ASR compete head to head with LLMs. Self-hosted competes with public APIs.
RedCrown was built inside real client engagements where cost, accuracy, and privacy all matter at once. Four teams, four industries, one pattern: a cheaper, better-proven config.
Loss-run document extraction to structured data, scored against human output.
High-stakes document understanding where accuracy and privacy both bind.
High-volume parsing where per-document cost compounds fast.
Transcription accuracy per dollar across speech-to-text models.
Loss-run documents to structured JSON. Compared a managed extraction API, Claude on Bedrock, other Bedrock models, and non-LLM OCR, scored against human-labeled output.
Which transcription model is most accurate per dollar. Compared AWS Transcribe, Whisper, and open-source models against actual audio.
A clean subscription, priced by the tasks and models you monitor. You expand as you add workloads. Customers typically save many times their subscription.
Tiered SaaS base + usage-based expansion. No inference markup. Savings is the narrative, not the invoice.
Give us one live task. In two weeks we will show you, with receipts, which model wins on cost, accuracy, and privacy.
We will only use your details to respond. No spam, ever.