
Judgment Labs
Continuous improvement stack for AI agents to monitor and enhance behavior at scale.
About
Judgment Labs provides an infrastructure stack for AI agents, enabling companies to continuously monitor and improve their behavior in production. Their platform automates the detection, triage, and fixing of AI agent misbehavior by transforming production data into actionable insights, empowering AI-native teams to build more reliable and effective agents.
Listed competitors
Arize AI is an ML observability platform. Judgment Labs differentiates by focusing specifically on the continuous improvement of AI *agents* and their behavior, rather than general ML model performance.
LangSmith focuses on LLM application development and debugging, while Judgment Labs provides a broader continuous improvement stack specifically for AI agents, emphasizing monitoring and fixing agent behavior at scale.
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Key facts
- Website
- judgmentlabs.ai
- Headquarters
- San Francisco, United States
- Founded
- 2023
- Employees
- 26
- Total funding
- $32M (Seed and Series A)
- Business model
- B2B
Funding rounds
| Date | Round | Amount | Lead investors |
|---|---|---|---|
| 12 May 2026 | Seed and Series A | $32M | Lightspeed Venture Partners |
Tech stack
Detected on judgmentlabs.ai, last scanned 4 Nov 2026. Run your own scan
- Frontend
- Next.js, Tailwind CSS
- Analytics
- Google Analytics 4
- CMS / Builders
- Ghost
- CDN
- Vercel
- Email provider
- Google Workspace
- Status page
- BetterStack
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Frequently asked
Is Judgment Labs trustworthy and reputable?
StartupHub's Data Trust & Reputation score for Judgment Labs is 87 out of 100, a trusted rating, based on site security posture, privacy practices, malware and phishing checks, and public reputation signals.
How much funding has Judgment Labs raised?
Judgment Labs has raised a total of $32M in funding. The most recent round on record is Seed and Series A.
How many employees does Judgment Labs have?
Judgment Labs has approximately 26 people on record.
A tool we built
AI Agent Readiness
Score how well an agent can read and use a site: llms.txt, MCP, schema, and payments. Use it before you claim a site is agent-ready.
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SEC filings, insider activity, nonprofit links and pay benchmarks for Judgment Labs:
Company details: from public sources. Funding: no announced round on file. Ownership: not yet claimed by the company. Scores: measured by named tools; each links to its method. Our rules


