All evals
Hume AI

Eval directory

Evals for Hume AI

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

AI Platform
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About Hume AI

Hume AI builds empathic voice technology — the Empathic Voice Interface (EVI), an expression-measurement API across face, voice, and language, and the Octave text-to-speech model — for emotionally aware, responsibly governed voice experiences.

Employees

~60

Industry

Voice AI

Headquarters

New York, NY

Website

hume.ai
60/ 100
CDeveloping coverage

How complete this published benchmark library is across datasets, metrics, rubrics, use-case maps, and pack context. This is library coverage, not an agent performance score.

Test datasets

8/8 packs

Scoring metrics

0/8 packs

Judge rubrics

8/8 packs

Use-case maps

0/8 packs

Pack context

8/8 packs

Test datasetsStrong100%
Scoring metricsLimited0%
Judge rubricsStrong100%
Use-case mapsLimited0%
Pack contextStrong100%

Available eval packs for Hume AI

8 packs ready to run.

Why eval Hume AI AI

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