Turn your AI agents into experts
Quotient transforms your static models into evolving agents that learn in production and specialize in your domain.
One-time 5-minute setup
Improvement never stops
It’s time to build
The impact of post-training intelligence
Monitor, evaluate, and reinforce
your agents, automatically
Plug in to stream telemetry
Connect Quotient to your agents in minutes, and give them the awareness to learn from real-world data.
Detect issues instantly
Evaluator models track interactions, spotting reasoning errors, hallucinations, and regressions before they impact users.
Learn from each interaction
Every interaction is training data. Quotient fine-tunes and redeploys stronger models continuously.
Specialized agents across industries

Coding
+12% increased accuracy for code generation and tool use

Finance
+15% fewer critical errors in financial analysis workflows

Legal
+18% higher first-pass acceptance for legal drafts

Customer Support
-15% fewer escalations with faster issue resolution

Marketing
-18% less manual editing for generated content

Security Incident Response
+15% faster incident resolution with fewer procedural errors

Sales
+10% more consistent follow-ups across sales workflows

SREs
-12% fewer runbook errors during on-call incidents
Created by
engineers behind
GitHub Copilot
At GitHub, we built the telemetry and evaluation infrastructure behind Copilot — and learned that the biggest gains in AI quality come from real-world feedback.
We founded Quotient to make that feedback loop accessible to teams building agents today, so they can improve from real usage and specialize in real workflows.

Julia Neagu
CEO

Freddie Vargus
CTO
Leading AI teams build with Quotient
"Quotient has been a real game-changer and is now an essential part of our infrastructure stack. Having this high level of monitoring and transparency has even factored into our investor due diligence conversations. Our users trust us to have the best AI search solution, and we trust Quotient."

Rotem Weiss
CEO & Co-Founder of Tavily
“Setup was 10x easier than comparable tools like Weave, and the feedback is much more actionable: instead of flagging tons of tiny semantic/borderline issues, it makes it clear what’s actually wrong and worth fixing.”
Principal AI Product Lead
Public-interest government data organization
“We work with sensitive, high-context AI use cases, so hallucinations are a real reputational risk. Quotient gives us visibility into when and why hallucinations happen, so we can catch and fix them early. That level of monitoring helps us build trust with our customers and their end users, who expect perfection.”

Mishkin Berteig
CEO & Founder of MaxGood.work
“Quotient's platform enables us to conduct fast experimentations within our system, whether related to our generative models or influenced by our retrieval system and data pipeline. We can quickly connect these individual components back to the overall product, resulting in high quality for our customers.”
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Hao Sheng
CEO & Founder of Expertise AI
“We want to ship the best product possible and make sure our assistant doesn’t hallucinate. We’re making big changes to chunking/retrieval, and Quotient is the fastest way to verify what we’ve built, surface issues, and keep improving (especially when we swap models). Brilliant platform.”
Co-founder & Head of Development
AI customer support assistant
"Quotient has been a real game-changer and is now an essential part of our infrastructure stack. Having this high level of monitoring and transparency has even factored into our investor due diligence conversations. Our users trust us to have the best AI search solution, and we trust Quotient."

Rotem Weiss
CEO & Co-Founder of Tavily
“Setup was 10x easier than comparable tools like Weave, and the feedback is much more actionable: instead of flagging tons of tiny semantic/borderline issues, it makes it clear what’s actually wrong and worth fixing.”
Principal AI Product Lead
Public-interest government data organization
“We work with sensitive, high-context AI use cases, so hallucinations are a real reputational risk. Quotient gives us visibility into when and why hallucinations happen, so we can catch and fix them early. That level of monitoring helps us build trust with our customers and their end users, who expect perfection.”

Mishkin Berteig
CEO & Founder of MaxGood.work
“Quotient's platform enables us to conduct fast experimentations within our system, whether related to our generative models or influenced by our retrieval system and data pipeline. We can quickly connect these individual components back to the overall product, resulting in high quality for our customers.”
.avif)
Hao Sheng
CEO & Founder of Expertise AI
“We want to ship the best product possible and make sure our assistant doesn’t hallucinate. We’re making big changes to chunking/retrieval, and Quotient is the fastest way to verify what we’ve built, surface issues, and keep improving (especially when we swap models). Brilliant platform.”
Co-founder & Head of Development
AI customer support assistant
Quotient
Cookbooks
Dive into how to use Quotient to monitor, evaluate, and improve AI systems in production.
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