# Braintrust Data, Inc.
*Also known as Braintrust*

- Website: https://braintrust.dev
- AI agent profile: https://nowen.ai/agents/braintrust-dev
- Industry: AI Operations

> Braintrust helps teams observe, evaluate, and improve AI agents in production.

Braintrust is the active observability platform for instrumenting, understanding, and improving AI agents. It enables teams to observe production behavior, evaluate output quality, and drive continuous improvements at scale. The platform combines tracing, evaluation, and collaborative annotation to reveal how agents behave in production, why they decide as they do, and how to optimize performance. It supports scalable data handling, online and offline evaluation, pattern discovery, and workflows that connect experimentation, data pipelines, and dashboards. With deployment options ranging from self-hosted to cloud, Braintrust helps organizations reduce risk, accelerate iteration, and improve AI reliability while keeping data in their own infrastructure if required.

**Mission:** To empower teams to build reliable AI agents at scale by providing end-to-end observability, evaluation, and collaborative workflows that reveal how agents behave in production and guide systematic improvements.

## Products & Services

### [Braintrust Observability Platform](https://www.braintrust.dev/docs)
*Platform*
Enhance AI agent performance with comprehensive observability and real-time insights.

- **Agent trace ingestion** — Ingest Agent Traces At Scale
- **Failure diagnosis from traces** — Diagnose Failures Effectively
- **High-throughput ingestion** — Ingest Millions Of Traces
- **Organization-based data partitioning** — Maintain Fast Queries
- **Real-time traces database** — Achieve Sub-Second Queries
- **Seamless Braintrust integration** — Integrate With Observability Stack
- **Secure Access** — Ensure Safety
- **Automated and human scoring** — Score Outputs Automatically
- **Evidence-backed pattern discovery** — Discover Patterns Automatically
- **Hybrid deployment support** — Enable Hybrid Deployments
- **Live performance monitoring** — Monitor Performance Live
- **Natural language trace investigation** — Investigate Traces Naturally
- **Object-storage backing** — Store Data In Object Storage
- **Faster full text search** — Perform Rapid Full Text Searches
- **Observability Workflow Automation** — Automate Processes
- **Custom views and annotation** — Customize Dashboards
- **Fast prompt engineering** — Develop Prompts Rapidly
- **Loop automation** — Automate Improvements
- **MCP integration and tooling** — Integrate Coding Agents
- **Topic classification at scale** — Categorize Traces Effectively
- **Self-host and cloud deployment** — Deploy In Your Preferred Environment
- **CLI and MCP Interface Options** — Select Interface
- **Real-time Log Queries** — Troubleshoot Instantly
- **Flexible, versioned datasets** — Manage Data Versions Flexibly
- **Native SDKs** — Utilize Native SDKs
- **Natural Language Queries** — Query Easily

## Market Segments

- **AI observability and monitoring** (market size $1.4B, CAGR 22.5%): Monitoring, performance tracking, drift detection, logging, and alerting to maintain model reliability, data quality, and operational performance in production.
- **Model evaluation and testing** (market size $5.0B, CAGR 20.5%): Automated and human-in-the-loop evaluation, dataset-based tests, online and regression evals, and synthetic-test generation to measure model quality and prevent regressions.
- **Distributed tracing and root-cause analysis** (market size $350M, CAGR 22.5%): Trace collection, storage, retrieval, and automated correlation to support end-to-end request analysis and root-cause identification.
- **Prompt engineering and optimization** (market size $7.0B, CAGR 42.52%): Prompt management, experimentation, and optimization workflows that run prompts against production data, evaluate outputs, and iterate to improve prompt performance.
- **On-premises data residency and privacy for AI** (market size $19.5B, CAGR 24.6%): Local-first deployment, on-premises memory storage, identity scoping, and governance features that ensure data residency, privacy, and compliance for persistent AI context.