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ElevenLabs

Eval directory

Evals for ElevenLabs

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

Voice AI
Use evals for ElevenLabs

About ElevenLabs

ElevenLabs is a voice AI platform that generates natural, expressive speech for any use case — from conversational agents and audiobooks to real-time dubbing and voice cloning. Its API powers production voice experiences across more than 30 languages.

Employees

~200

Industry

Voice AI

Headquarters

New York, NY

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

7/7 packs

Scoring metrics

0/7 packs

Judge rubrics

7/7 packs

Use-case maps

0/7 packs

Pack context

7/7 packs

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

Available eval packs for ElevenLabs

7 packs ready to run.

Why eval ElevenLabs AI

ElevenLabs'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 ElevenLabs measures four dimensions teams care about most when deploying voice ai 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 ElevenLabs's public product surface and runnable in Corsac with your own data.