Judgment Labs

The continuous-improvement stack for agents

★★★★★ (0 reviews) Freemium Infrastructure
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Overview

Judgment Labs is an applied-research lab building the continuous-improvement layer for AI agents, helping teams monitor, diagnose, and improve agent behavior in production. It is built on the open-source Judgeval framework and uses agent swarms to triage failures, find root causes, and validate fixes before deployment.

⚡ Infrastructure 💵 Custom Pricing — open-source/free tier (Judgeval + free dashboard) with custom enterprise plans (contact sales). 📅 Listed 10 Jun 2026

✨ Features

Behavioral Triage & Root Cause

Deploys agent swarms to cluster similar failures, scope affected use cases, and isolate root causes.

Agent Judge

Builds more accurate, cost-effective trajectory-level evaluators of agent behavior.

Behavior Discovery & AutoRubrics

Surfaces failure modes from unlabeled production data and auto-constructs evaluation criteria from verifiable signals.

Slack & MCP Integration

Investigate incidents in Slack and access search, investigation, and testing via Claude, Cursor, and other MCP clients.

⚖️ Pros & Cons

Pros

✓ Open-source Judgeval framework with a free monitoring dashboard
✓ Deep agent-specific evaluation and root-cause analysis
✓ Integrates with popular MCP clients

Cons

✗ Enterprise pricing is sales-only and not publicly listed
✗ Self-hosting and full eval stack require engineering investment to adopt

💰 Pricing

Open Source

Free

  • Open-source Judgeval framework
  • Free monitoring dashboard
  • Self-hosted agent evals
  • Community support

Enterprise

Custom

  • Hosted continuous-improvement stack
  • Agent swarm triage and root cause
  • Pre-deployment testing at scale
  • Dedicated support and SLAs

Categories

InfrastructureAI Model