Overview
News
Technologies
Salaries
Products
People
Growth
Offices
Jobs
Financials

Overview

The continuous-improvement stack for agents. Monitor and improve your agent's behavior at scale.

News

News judgmentlabs.ai 3 months ago
Agent Judge: Solving Long-Horizon Evals for Production Agents
Agent Judge evaluates long-horizon production agents by searching full trajectories, checking actions against the environment, and adapting rubrics from production feedback.
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News Pulse 2.0 4 months ago
Judgment Labs Closes $32 Million In Seed And Series A Funding To Build Improvement Layer For AI Agents
Judgment Labs has raised a combined $32 million across its seed and Series A rounds to accelerate its mission of helping AI-native teams turn production data into continuously improving agents. The funding was led by Lightspeed Venture Partners, which bac
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News judgmentlabs.ai 11 months ago
Climbing the Hills That Matter
How production trajectories, evals, user feedback, rubrics, and reward signals help teams improve AI agents after deployment.
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Report

Technologies

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Tech DNA
JavaScript
Go
Dagster
Flink
Ray
ClickHouse
LLM
AI/ML
AI Agents
Claude Code
OpenAI Codex
Anomaly Detection
Context Engineering
Dagster
Flink
LLM
Model Context Protocol
Prefect
Ray
Post-training
Reinforcement Learning
Machine Learning
ClickHouse
Databricks
Vector
Other
Go
JavaScript
Apache Kafka
RabbitMQ
Temporal
Next.js
React.js
Slack
Stack modernity Cutting-edge AI adopter
75/100
How modern this stack is, based on technology relevance, AI adoption and the share of legacy tools.
In-demand technologies
AI Agents 3 jobs Required
Claude Code 1 job Required
OpenAI Codex 1 job Required
Go 1 job Optional
JavaScript 1 job Optional
Databricks 1 job Required
Slack 1 job Required
ClickHouse 1 job Required
Salary medians are calculated from this company's open jobs and compared with the market.
Industry adoption
JavaScript
7%
AI Agents
6%
LLM
6%
React.js
5%
Go
4%
Machine Learning
4%
Share of companies in the same industry that use each technology.
Stack changes
Machine Learning Sep 2026
Reinforcement Learning Sep 2026
Post-training Sep 2026
Go Sep 2026
React.js Sep 2026
JavaScript Sep 2026
Vector Sep 2026
Temporal Sep 2026
Technologies recently added to or removed from this company's stack - a signal of tech migrations and new initiatives.

Growth

Hiring Momentum
58/100
Growing
Open positions
5
0 opened / 0 closed in 30 days
ATS activity
Every ~8 hours
Today
Hiring Dynamics +100%
Hiring Focus
The percentage next to each role is its share of the company's job openings over the last 90 days; the arrow shows the shift versus the previous period.
Product
67%
Sales
33%
Activity Timeline
Added Machine Learning to stack Sep 2026
Added Reinforcement Learning to stack Sep 2026
Added Post-training to stack Sep 2026
Added Go to stack Sep 2026
Added React.js to stack Sep 2026
Added JavaScript to stack Sep 2026
Added Vector to stack Sep 2026
Added Temporal to stack Sep 2026
Added Slack to stack Sep 2026
Added Ray to stack Sep 2026
Added RabbitMQ to stack Sep 2026

Offices

Where the company hires and what each office is for
Cities
1
Hiring now
1
Countries
1
Busiest office
San Francisco
San Francisco United States
HQ
5 open roles 3 posted in 90 days 40% engineering 50-200 est. staff
hires for Product, AI/ML, DevOps
seen since Jan 2026 job postings

Jobs

$149k – $311k per year (Estimated) • In office • Full-Time • San Francisco
Claude Code
AI Agents
OpenAI Codex
Apply
$152k – $316k per year (Estimated) • In office • Full-Time • San Francisco
AI Agents
Apply
$141k – $272k per year (Estimated) • In office • Full-Time • San Francisco
Go
JavaScript
Temporal
Databases
Databricks
ClickHouse
RabbitMQ
Apache Kafka
AI/ML
Model Context Protocol
Dagster
Prefect
AI Agents
Flink
LLM
Ray
Anomaly Detection
Context Engineering
Frontend
Next.js
React.js
Management
Slack
Apply
$176k – $379k per year (Estimated) • In office • Full-Time • San Francisco
Reinforcement Learning
Post-training
Machine Learning
Apply