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Baseten

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Evals for Baseten

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

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About Baseten

Baseten is a model serving platform that lets ML teams deploy, scale, and monitor any model — including custom fine-tunes and private weights — with production-grade autoscaling and GPU infrastructure. It supports both synchronous and asynchronous inference patterns.

Employees

~100

Industry

Model Serving

Headquarters

San Francisco, CA

Website

baseten.co

Available eval packs for Baseten

8 packs ready to run.

Why eval Baseten AI

Baseten'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 Baseten 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 Baseten's public product surface and runnable in Corsac with your own data.