Monitor Your Agent's Behavior.
Alert and act on agent failures in production.
Turn feedback data into fuel for self-improvement loops.
Alert and act on agent failures in production. Turn feedback data into scores that fuel improvement loops.
Built and backed by AI leaders from
Alerts
Inspect
Monitor
Optimize
Agent Hallucination
Flagged outputs that factually contradict retrieved data
762
Total Alerts
20
15
10
5
0
Name
Input
Output
Duration
LLM Cost
Scores
generate_itinerary
{“args”:[“start_date: “2025...
"Certainly! I have created a itin…
21.54s
$0.24
Hallucination: 0.40
generate_itinerary
{“args”:[“start_date: “2025...
“Trip to Paris, Dates: June 1-7...
25.76s
$0.09
Hallucination: 0.32
generate_itinerary
{“args”:[“start_date: “2025...
"Sure! Here's a six-day itinerary…
19.07s
$0.13
Hallucination: 0.49
generate_itinerary
{“args”:[“start_date: “2025...
"Your trip to Paris: Day 1, Go to…
26.42s
$0.18
Hallucination: 0.49
Get instant alerts when agent behavior drifts or fails
Alerts
Inspect
Monitor
Optimize
Agent Hallucination
Flagged outputs that factually contradict retrieved data
762
Total Alerts
20
15
10
5
0
Name
Input
Output
Duration
LLM Cost
Scores
generate_itinerary
{“args”:[“start_date: “2025...
"Certainly! I have created a itin…
21.54s
$0.24
Hallucination: 0.40
generate_itinerary
{“args”:[“start_date: “2025...
“Trip to Paris, Dates: June 1-7...
25.76s
$0.09
Hallucination: 0.32
generate_itinerary
{“args”:[“start_date: “2025...
"Sure! Here's a six-day itinerary…
19.07s
$0.13
Hallucination: 0.49
generate_itinerary
{“args”:[“start_date: “2025...
"Your trip to Paris: Day 1, Go to…
26.42s
$0.18
Hallucination: 0.49
Get instant alerts when agent behavior drifts or fails
Get instant alerts when agent behavior drifts or fails
Alerts
Inspect
Monitor
RL
Research
Custom scoring systems built with you,
grounded in frontier AI research.
We study how to measure what matters.
Our post-training team from OpenAI, DeepMind, Stanford AI Lab, and Berkeley AI Research builds systems that turn agent interaction data into reliable scoring signals.
Since quality is different for every agent and company, we can directly support your team to implement judges and scorers tailored to your use case. If you want to see what custom scorers could look like for your stack, talk to us.
Research
Custom scoring systems built with you,
grounded in frontier AI research.
We study how to measure what matters.
Our post-training team from OpenAI, DeepMind, Stanford AI Lab, and Berkeley AI Research builds systems that turn agent interaction data into reliable scoring signals.
Since quality is different for every agent and company, we can directly support your team to implement judges and scorers tailored to your use case. If you want to see what custom scorers could look like for your stack, talk to us.
Research
Custom scoring systems built with you, grounded in frontier AI research.
We study how to measure what matters.
Our post-training team from OpenAI, DeepMind, Stanford AI Lab, and Berkeley AI Research builds systems that turn agent interaction data into reliable scoring signals.
Since quality is different for every agent and company, we can directly support your team to implement judges and scorers tailored to your use case. If you want to see what custom scorers could look like for your stack, talk to us.
Agent Behavior Monitoring
Catch and alert failures before users do.
Run any measurement logic or judge online with asynchronous scorers. Trigger alerts the moment agent behavior breaks and feed those events into your data flywheel.
Agent Behavior Monitoring
Catch and alert failures before users do.
Run any measurement logic or judge online with asynchronous scorers. Trigger alerts the moment agent behavior breaks and feed those events into your data flywheel.
Agent Behavior Monitoring
Catch and alert failures before users do.
Run any measurement logic or judge online with asynchronous scorers. Trigger alerts the moment agent behavior breaks and feed those events into your data flywheel.
Production Data to Offline Tests
Make sense of every interaction.
Group your agent trajectories into datasets for experimentation and testing. Human-annotate, score, and create custom scorers to run offline.
Production Data to Offline Tests
Make sense of every interaction.
Group your agent trajectories into datasets for experimentation and testing. Human-annotate, score, and create custom scorers to run offline.
Production Data to Offline Tests
Make sense of every interaction.
Group your agent trajectories into datasets for experimentation and testing. Human-annotate, score, and create custom scorers to run offline.
Easily Run Post-training
Turn scoring into RL
judgment.train()
with
Connect agent trajectories with your scores as rewards to optimize every part of your stack. Make every agent run strengthen your improvement pipelines with production usage and feedback signals.
Easily Run Post-training
Turn scoring into optimization
judgment.train()
with
Connect agent trajectories with your scores as rewards to optimize every part of your stack. Make every agent run strengthen your improvement pipelines with production usage and feedback signals.
Easily Run Post-training
Turn scoring into optimization
judgment.train()
with
Connect agent trajectories with your scores as rewards to optimize every part of your stack. Make every agent run strengthen your improvement pipelines with production usage and feedback signals.
Production Data Insights
Start your mornings by staying on top of your agents.
Receive reports on agent misbehaviors and behaviors that drift from your common use cases.
Production Data Insights
Start your mornings by staying on top of your agents.
Receive reports on agent misbehaviors and behaviors that drift from your common use cases.
Production Data Insights
Start your mornings by staying on top of your agents.
Receive reports on agent misbehaviors and behaviors that drift from your common use cases.
Integrate on your terms.
Use our open-source Python agent post-building SDK or bring your own telemetry provider — Judgment's analytics slot in without friction.
Judgment-native telemetry or bring your own data
Judgment-native telemetry or bring your own data
Judgment-native telemetry or bring your own data
Local, Cloud, or Self-Hosted
Local, Cloud, or Self-Hosted
Local, Cloud, or Self-Hosted
Works with Any Agent Framework
Works with Any Agent Framework
Works with Any Agent Framework
No Added Latency
No Added Latency
No Added Latency
+ more
SOC 2 Type II Compliant
Your agent data is secured with industry-leading security practices. We support zero-data retention, encryption at rest, and more.
Pricing
All plans include access to our AI features, tool integrations, and real-time collaboration tools. See more in our pricing page.
Custom
What you will get:
We encourage all early-stage teams to build on Judgment. We provide exclusive discounts and substantial usage limits, giving you all the resources to support your agents as they scale.
Custom
What you will get:
We encourage all early-stage teams to build on Judgment. We provide exclusive discounts and substantial usage limits, giving you all the resources to support your agents as they scale.
Custom
What you will get:
We encourage all early-stage teams to build on Judgment. We provide exclusive discounts and substantial usage limits, giving you all the resources to support your agents as they scale.
$0
What you will get:
$0
What you will get:
$0
What you will get:
*Pay as you go thereafter
$249
What you will get:
*Pay as you go thereafter
$249
What you will get:
*Pay as you go thereafter
$249
What you will get:
Custom
What you will get:
Custom
What you will get:
Custom
What you will get:
Trusted by the best
Judgment can run on local, managed cloud, or self-hosted setups. We power teams at the best startups, labs, and enterprises.
Chris Manning
Director, Stanford AI Lab
You can't automate mission-critical workflows with AI agents without cutting-edge, research-backed quality control. Judgment's evaluation suite is delivered with precision and performance, making it the premium choice for agents teams scaling deployment.
Wei Li
Prev. GM of AI, Intel
Custom evals became our safety net for deploying AI at scale - you can't afford to let silent agent regressions impact thousands of customers.
Rohan Divate
Senior ML Engineer, Agentforce
Iterating on agents with eval-driven feedback loops from high signal production data has been a game changer.
Eric Mao
CTO, Clado
We exported thousands of agent evals from Judgment and used them for RL training - our task completion rate jumped 20%.
Sritan Motati
CTO, A37
The evals in Judgment shows us exactly what our agents are doing in production. It felt so nice compared to everything else we tried.
Chirag Kawediya
Co-Founder, Human Behavior
Judgment's custom scorers worked really well - saved us a lot of dev time.
Stan Loosmore
COO, Context
The monitoring in Judgment has been super useful for tracking agent tool usage across different scenarios.
Aqil Naeem
CEO, E3
Setup took maybe 20 minutes. Now we catch regressions before they hit production.
Dhruv Mangtani
Founder, Maniac
Judgment's alerts caught our agent system going down at 2am and woke up our on-call engineer before customers even noticed.
Chris Manning
Director, Stanford AI Lab
You can't automate mission-critical workflows with AI agents without cutting-edge, research-backed quality control. Judgment's evaluation suite is delivered with precision and performance, making it the premium choice for agents teams scaling deployment.
Wei Li
Prev. GM of AI, Intel
Custom evals became our safety net for deploying AI at scale - you can't afford to let silent agent regressions impact thousands of customers.
Rohan Divate
Senior ML Engineer, Agentforce
Iterating on agents with eval-driven feedback loops from high signal production data has been a game changer.
Eric Mao
CTO, Clado
We exported thousands of agent evals from Judgment and used them for RL training - our task completion rate jumped 20%.
Sritan Motati
CTO, A37
The evals in Judgment shows us exactly what our agents are doing in production. It felt so nice compared to everything else we tried.
Chirag Kawediya
Co-Founder, Human Behavior
Judgment's custom scorers worked really well - saved us a lot of dev time.
Stan Loosmore
COO, Context
The monitoring in Judgment has been super useful for tracking agent tool usage across different scenarios.
Aqil Naeem
CEO, E3
Setup took maybe 20 minutes. Now we catch regressions before they hit production.
Dhruv Mangtani
Founder, Maniac
Judgment's alerts caught our agent system going down at 2am and woke up our on-call engineer before customers even noticed.
Chris Manning
Director, Stanford AI Lab
You can't automate mission-critical workflows with AI agents without cutting-edge, research-backed quality control. Judgment's evaluation suite is delivered with precision and performance, making it the premium choice for agents teams scaling deployment.
Wei Li
Prev. GM of AI, Intel
Custom evals became our safety net for deploying AI at scale - you can't afford to let silent agent regressions impact thousands of customers.
Rohan Divate
Senior ML Engineer, Agentforce
Iterating on agents with eval-driven feedback loops from high signal production data has been a game changer.
Eric Mao
CTO, Clado
We exported thousands of agent evals from Judgment and used them for RL training - our task completion rate jumped 20%.
Sritan Motati
CTO, A37
The evals in Judgment shows us exactly what our agents are doing in production. It felt so nice compared to everything else we tried.
Chirag Kawediya
Co-Founder, Human Behavior
Judgment's custom scorers worked really well - saved us a lot of dev time.
Stan Loosmore
COO, Context
The monitoring in Judgment has been super useful for tracking agent tool usage across different scenarios.
Aqil Naeem
CEO, E3
Setup took maybe 20 minutes. Now we catch regressions before they hit production.
Dhruv Mangtani
Founder, Maniac
Judgment's alerts caught our agent system going down at 2am and woke up our on-call engineer before customers even noticed.
Stop guessing. Start measuring.
We help leading teams unlock agent behavior monitoring over the issues that matter most.
