The Cortex of Agentic Systems

For every agent, at any scale

Quotient enables agents across industries to continuously learn, adapt, and improve. All using real-world feedback.

One time, 5-minute setup

One-time 5-minute setup

Continuous Improvement

Improvement never stops

Quotient for 

Coding

+12% increased accuracy for code generation and tool use

Quotient for 

Finance

+15% fewer critical errors in financial analysis workflows

Quotient for 

Legal

+18% higher first-pass acceptance for legal drafts

Quotient for 

Customer Support

15% fewer escalations with faster issue resolution

Quotient for 

Marketing

-18% less manual editing for generated content

Quotient for 

Security Incident Response

+15% faster incident resolution with fewer procedural errors

Quotient for 

Sales

+10% more consistent follow-ups across sales workflows

Quotient for 

SREs

12% fewer runbook errors during on-call incidents

Deploy Once, Improve Forever

Agents that keep betting better every day

Your agents continuously improve from real production behavior, adapting automatically as your product and users evolve. No extra datasets, prompts or effort required; the more your agents work, the better they will get.

Tailored to your product and domain

Every agent decision becomes a learning signal, producing models that grow more specialized in your workflows, rules, and domain.

Dramatically higher accuracy & reliability

Our domain-aware reward models catch mistakes generic metrics miss, making your agents far more predictable and trustworthy.

Fully automated improvement pipeline

Quotient handles telemetry, evaluators, reinforcement, and inference, offering you continuous improvement without any infrastructure to build or maintain.

Flexible production-ready model deployment

Every model is delivered as a production-grade endpoint your team can use immediately, or self-host in your own cloud for full control.

The impact of post-training intelligence

14%
MORE ACCURATE
Than frontier models
80%
LOWER INFERENCE COSTS
Without compromising quality
6.5X
FASTER DEPLOYMENT
From prototype to production
Expertise AI
GuestButler
Holp AI
Jaide Health
Max Good
MongoDB
Nomic
Nvidia Inception Program
Qdrant
Tavily
Wayfair
broadhead.
vidavox
Expertise AI
GuestButler
Holp AI
Jaide Health
Max Good
MongoDB
Nomic
Nvidia Inception Program
Qdrant
Tavily
Wayfair
broadhead.
vidavox

Quotient is now an essential part of our stack

"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

Pricing Options

Start

FREE

10,000 Logs / month
1,000Detections
Supportvia Discord
SaaS deploymentBy default
Start for Free

Track

$249/month

100,000 Logs / month
10,000Detections (then $0.025/detection)
Priority supportEmail, Discord, and usage alerts
Access to Quotient RL:
One time, 5-minute setup
Reinforcement fine-tuning
on qwen and OpenAI models
One time, 5-minute setup
Default reward models
One time, 5-minute setup
2x training runs / month
One time, 5-minute setup
Fine-tuned model inference
($0.50 per 1,000,000 tokens)
Level Up Your Agents

Evolve

Starts at $1,500/month

Custom log and detection quotasWith flexible retention
Premium support and SLAs
SaaS, VPC, or On-PremDeployment
Access to Quotient RL:
One time, 5-minute setup
Reinforcement fine-tuning
on qwen and OpenAI models
One time, 5-minute setup
Continuous learning
with advanced training quotas
One time, 5-minute setup
2x training runs / month
One time, 5-minute setup
Fine-tuned model inference pricing based on model and usage volume
Get Your Custom Setup
Quotient Limbic

The trace-native learning system for AI agents

Learns directly
from agent traces

Extracts reward signals directly from OpenTelemetry agent traces. No labels, no synthetic benchmarks.

Detects failures
humans miss

Limbic automatically identifies tool-use errors, hallucinations, and retrieval failures across full multi-step agent trajectories.

Turns signals into
ranked insights

Issues are grouped, scored, and prioritized by user impact, frequency, and fix effort, so teams know exactly what to fix first.

Improves agents
automatically

Limbic converts real agent behavior into reward signals and continuously fine-tunes models. Deploy once, improve forever.