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Evals for Gong

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

Revenue Intelligence
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About Gong

Gong is a revenue intelligence platform that captures and analyzes every customer interaction — calls, emails, and meetings — to surface deal risk, coaching opportunities, and pipeline accuracy insights for sales and revenue teams.

Employees

~1,500

Industry

Revenue Intelligence

Headquarters

San Francisco, CA

Website

gong.io

Available eval packs for Gong

7 packs ready to run.

Why eval Gong AI

Gong'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 Gong measures four dimensions teams care about most when deploying revenue intelligence 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 Gong's public product surface and runnable in Corsac with your own data.