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Evals for Cohere

8 evaluation packs covering adversarial robustness, safety gates, workflow quality, and operator-level checks for Cohere AI products.

AI Platform
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About Cohere

Cohere builds enterprise foundation models and the tools around them — the Command model family, best-in-class Rerank and Embed endpoints, and grounded retrieval-augmented generation with inline citations — deployable across major clouds and private VPCs.

Employees

~400

Industry

Foundation Model

Headquarters

Toronto, Canada

Website

cohere.com

Available eval packs for Cohere

8 packs ready to run.

Why eval Cohere AI

Cohere's AI features ship behind brand promises about accuracy, safety, and reliability. Buyers and integrators need to know those promises hold up under adversarial prompts, edge-case workflows, and the long tail of real customer inputs — not just the demo path.

The Corsac eval library for Cohere measures four dimensions teams care about most when deploying ai platform agents:

  • Adversarial robustness — does the agent resist prompt injection, jailbreaks, and social-engineering attempts?
  • Workflow quality— does it complete the task buyers were shown in the demo, on inputs that don't look like the demo?
  • Safety gates — does it escalate or refuse when it should, and only then?
  • Operator quality — does it preserve analyst trust by surfacing the right context at the right time?

Every eval pack above is hand-authored against Cohere's public product surface and runnable in Corsac with your own data.