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Kayba AI

Detects where AI agents silently fail, fixes those failures automatically, and verifies that the fixes work.

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/ About

Kayba helps teams detect where their AI agents silently fail, fix those failures automatically, and verify that the fixes actually work. It learns from an agent's execution traces: when an error surfaces in the team's monitoring, Kayba reads the trace, the bug report, and the agent code, proposes a fix, scores how likely it is to help, and tracks how the fix performs after it ships.

The core technology began as the open-source Agentic Context Engine, which had around 1,800 GitHub stars when Kayba entered Venture Kick. In April 2026 Kayba received CHF 40,000 in Venture Kick Stage 2 funding to turn it into a hosted product.

/ Activity
/ ETH AI Club Members involved
  • Sven JonscherSven Jonscher