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About

Kayba makes AI agents self-improve from experience. It learns from an agent’s execution traces to detect failures, fix them, and measure whether the fix actually worked. Instead of relying on generic evals that cannot explain why an agent failed, Kayba derives failure modes from the agent’s own traces and builds custom benchmarks for the user’s domain, so teams can measure improvement against real production failure patterns. Kayba wires tracing into an agent with one line of setup, watches it around the clock, and flags the moment a step stops being recorded. Even good tracing rots as teams ship changes, and steps can quietly stop being captured; Kayba checks the tracing users already have, shows exactly what is broken, points to the file that needs attention, and sends the gap to a coding agent through MCP. The coding agent patches the issue, and Kayba verifies that the trace is actually closed.

About

iFixAi is an independent auditing platform for AI agents designed to test whether an agent does the job it was assigned, stays within its permissions, follows required workflows and approvals, respects organizational roles and boundaries, and produces behavior that can be reproduced and defended. It goes beyond observability, evals, and benchmarks by examining whether an agent can still expose confidential information, override decisions, misuse tools, or act without authorization even when standard checks look good. Its multifaceted audits cover more than 64 categories of AI misalignment across AI red teaming, operational assurance, philosophical, ethical, and sociological dimensions, including prompt injection, policy violations, tool invocation governance, principal fidelity, epistemic integrity, fairness governance, stakeholder conflict, influence, and systemic risk. Teams can connect agents through GitHub or MCP without first building a manual eval harness or embedding an SDK.

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

AI development teams that need to diagnose agent failures, generate reviewable fixes, and track whether those fixes improve performance over time

Audience

Enterprise, AI, security, and governance teams looking for a solution to audit AI agents for trustworthy behavior, policy compliance, authorization boundaries, and operational risk

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Not Supported

API

Offers API Not Supported

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version Supported
Free Trial Not Supported

Pricing

Free
Free Version Supported
Free Trial Not Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

Kayba
Founded: 2025
United States
kayba.ai/

Company Information

iFixAi
United Kingdom
www.ifixai.ai/

Alternatives

Alternatives

Ante

Ante

Antigma Labs
Phinite

Phinite

Phinite AI
Flint AI

Flint AI

SandboxAQ

Categories

Categories

Agentic AI Supported

Integrations

Model Context Protocol (MCP) Supported
GitHub Not Supported

Integrations

Model Context Protocol (MCP) Supported
GitHub Supported
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