Braintrust Data offers Braintrust
Product
Observability and evaluation platform for shipping quality AI agents at scale.
- Currently Offered
Braintrust ingests production agent traces and surfaces behavior patterns automatically. Teams score outputs with evals, run experiments against versioned datasets, and block bad releases before production. Native SDKs cover Python, TypeScript, Go, Ruby, and C#.
A purpose-built store called Brainstore queries millions of nested traces quickly. The company serves teams at Coursera, Notion, and Graphite, and holds SOC 2 Type II certification.
Observability and evaluation platform for shipping quality AI agents at scale.
Enterprise platform for building, deploying, observing, and governing production AI agents.
AI Agent Reliability Platform detects and remediates incorrect AI agent responses in real time.
Analytics that ranks AI agent journey failures by business impact and tests fixes.
Tools for building, deploying, evaluating, and governing enterprise AI and machine learning systems.
Multi-agent AI platform for customer support automation across chat, email, and voice.
Open-source telemetry layer that captures and normalizes AI agent activity across Claude Code, Codex, Cursor and other harnesses.
AgentOps is an observability platform for tracing, debugging, replaying, and monitoring AI agent activity.
TrustLens offers agent posture management and visibility for AI deployments.
Enterprise platform for building, deploying, observing, and governing production AI agents.
Enterprise AI observability and evaluation platform for testing, monitoring, and improving AI agents and applications.
Platform for building, testing, and monitoring AI agents in production.
AI Agent Reliability Platform detects and remediates incorrect AI agent responses in real time.
Cortex evaluates and monitors production AI agents with expert judgment.
TrustTest enables AI red teaming and adversarial testing for models.
Evals is an agent-experience evaluation platform scoring how product flows work for AI agents.
Analytics that ranks AI agent journey failures by business impact and tests fixes.
Tools for building, deploying, evaluating, and governing enterprise AI and machine learning systems.
Backdrop provides always-on cloud AI coworkers with shared memory, tool access, and approval gating.
Multi-agent AI platform for customer support automation across chat, email, and voice.
Open-source telemetry layer that captures and normalizes AI agent activity across Claude Code, Codex, Cursor and other harnesses.