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www.braintrust.dev

Braintrust Data, Inc. provides a unified platform for AI observability and evaluation to help production AI teams improve quality, reliability, and safety across engineering and product.

Braintrust Data, Inc. provides a platform that helps AI teams observe, evaluate, and improve AI systems deployed in production. The solution delivers end-to-end visibility into agent behavior across traces, prompts, tool calls, and decisions, and enables teams to define and run evaluations, build datasets from production data, and collaborate across engineering, product, and data science to enhance quality, safety, and reliability.

Mission statement

To empower AI teams to observe, evaluate, and continuously improve AI production systems through an integrated platform that fosters collaboration and trust.

Products & Services

Braintrust Platform Platform

Empower AI teams to enhance quality and efficiency through comprehensive observability and evaluation.

www.braintrust.dev
  • ✓ Agent Observability — See All Agent Activity
  • ✓ Evaluation Workflows — Automate Evaluations
  • ✓ Scalable Agent Trace Ingestion — Handle High Volume Traces
  • ✓ Evidence-backed Pattern Discovery — Identify Recurring Patterns
  • ✓ Failure Diagnosis from Traces — Diagnose Failures Effectively
  • ✓ AI Data Scale Design — Optimizes for AI Workloads
  • ✓ Large-Scale Trace Storage and Fast Querying — Queries Millions of Traces
  • ✓ Nested Trace Support — Efficiently Handles Nested Traces
  • ✓ Pattern Discovery and Trace Analysis — Identify Critical Behaviors
  • ✓ Real-Time Monitoring — Monitor Always-On Metrics
  • ✓ Live Performance Monitoring — Monitor Real-Time Metrics
  • ✓ Unified Observability Framework — Streamline Development Workflow
  • ✓ Natural Language Trace Investigation — Conduct Natural Language Searches
  • ✓ Topic Classification at Scale — Classify Topics Across Data Sets
  • ✓ Faster Full-Text Search — Enables Rapid Full-Text Search
  • ✓ Real-Time Logging — Instant Feedback with Real-Time Logs
  • ✓ Seamless Collaboration — Enhance Teamwork
  • ✓ Custom Views and Annotation — Create Tailored Interfaces
  • ✓ Score Outputs Automatically — Ensure Quality Across Outputs
  • ✓ Real-Time Performance Monitoring — Monitor Performance Continuously
  • ✓ Hybrid Deployment Options — Secure Self-Hosted Deployments
  • ✓ Online Scoring — Enables Real-Time Quality Assurance

Stagehand Product

Stagehand streamlines browser control for AI agents, enhancing evaluation and benchmark processes.

github.com/browserbase/stagehand
  • ✓ Unified Browser Control — Control Browsers Across Languages
  • ✓ Benchmarks and Braintrust-Powered Evals — Run Braintrust Evals

Market Segments

Billion USD 0 0.5 1 1.5 2 2.5 3 AI observabilit… Continuous mode… AI observabilit… Production AI d… Market Size (Billion USD)
0% 3% 6% 9% 12% 15% 18% 21% 24% 27% 30% 33% 36% 39% CAGR Growth Potential

AI observability and trace analytics

Capture, store, query, and investigate agent traces, prompts, tool calls, and decisions at scale with natural-language search and fast full-text querying for root-cause analysis.

Market size: $3.0B CAGR: 31.1%
Estimate based on multiple market reports in the provided search results: specialist AI-observability research (Next Move / NextMSC) places AI observability at roughly USD 2.9B (2025) with very high growth (31.1% CAGR). Data-observability reports (Spherical Insights, Precedence) show smaller adjacent markets (USD ~1.1–1.93B in 2025) and lower CAGRs (≈11–15%), while broader observability platforms (MarketsandMarkets) are much larger but grow more slowly (~12% CAGR). Given the user segment (AI observability + trace/agent analytics) is narrower than general observability but aligned with AI/agent monitoring, the current market is estimated near USD 3.0B and growth potential is aligned with the AI-observability forecast (≈31.1% CAGR).
TH TH TH 3 references

Continuous model evaluation and validation

In-environment testing, continuous evaluations, drift detection, and validation workflows that assess models from pre-production through production to ensure policy compliance and performance.

Market size: $1.5B CAGR: 20%
Multiple market reports for model evaluation/validation platforms cluster mid‑2020s market size between about $1.1–1.8B. I select a midpoint (~$1.5B) for the continuous evaluation/validation segment. Forecast CAGRs in the results vary widely (≈9.6%–28.5%); given rapid AI adoption, regulatory drivers, and the range of published forecasts, I estimate a realistic growth potential near 20% CAGR over the coming years.
MA MA GL EX 4 references

AI observability and monitoring

Monitoring, performance tracking, drift detection, logging, and alerting to maintain model reliability, data quality, and operational performance in production.

Market size: $1.9B CAGR: 15%
Search results show varying estimates for closely related markets (data observability and AI-in-observability). Reported 2024–2025 market sizes range ~USD 1.1B–2.9B (data/AI observability definitions differ). I select ~USD 1.9B (circa 2024–2025) as a midpoint representative for the broader AI observability & monitoring segment. Reported CAGRs range from ~11.6% to 22.5%; a conservative midpoint CAGR of 15% reflects consensus between data-observability forecasts (~11–15%) and higher AI-observability projections (~22%). Estimates principally use the provided market reports and synthesize scope differences between “data observability” and broader “AI observability.”
IN TH DA 20 4 references

Production AI data management and annotation

Build datasets from production data, provide custom annotation interfaces and views, classify topics at scale, and enable cross-team collaboration for dataset curation and validation.

Market size: $2.0B CAGR: 30%
Market research reports in the search results place the AI/data annotation market at roughly $1.96–$2.25 billion (2025) with aggressive forecasts: Precedence Research projects growth to $17.37B by 2034 (CAGR ~27.4%), and The Business Research Company projects growth to $9.27B by 2030 (CAGR ~32.8%). Based on these sources, I estimate the current production AI data management and annotation market at about $2.0B and a near-term growth potential of ~30% CAGR.
TH DA 2 references

Related Organizations

Organizations in the same market segments as Braintrust Data, Inc..

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Fiddler AI

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Galileo Technologies, Inc.

Galileo Technologies, Inc. provides an enterprise AI reliability platform for evaluating, monitoring, and safeguarding AI agents and applications.
Sumo Logic, Inc.

Sumo Logic is a cloud-native data analytics company offering AI-powered analytics for security, observability, and operations.

Common Questions

What does Braintrust Data, Inc. do?
Braintrust Data, Inc. provides a platform that helps AI teams observe, evaluate, and improve AI systems deployed in production. The solution delivers end-to-end visibility into agent behavior across traces, prompts, tool calls, and decisions, and enables teams to define and run evaluations, build datasets from production data, and collaborate across engineering, product, and data science to enhance quality, safety, and reliability.
What is Braintrust Data, Inc.'s role in the AI observability and trace analytics market?
Capture, store, query, and investigate agent traces, prompts, tool calls, and decisions at scale with natural-language search and fast full-text querying for root-cause analysis.
What is Braintrust Data, Inc.'s role in the Continuous model evaluation and validation market?
In-environment testing, continuous evaluations, drift detection, and validation workflows that assess models from pre-production through production to ensure policy compliance and performance.
How was the AI observability and trace analytics market size estimate for Braintrust Data, Inc. calculated?
Estimate based on multiple market reports in the provided search results: specialist AI-observability research (Next Move / NextMSC) places AI observability at roughly USD 2.9B (2025) with very high growth (31.1% CAGR). Data-observability reports (Spherical Insights, Precedence) show smaller adjacent markets (USD ~1.1–1.93B in 2025) and lower CAGRs (≈11–15%), while broader observability platforms (MarketsandMarkets) are much larger but grow more slowly (~12% CAGR). Given the user segment (AI observability + trace/agent analytics) is narrower than general observability but aligned with AI/agent monitoring, the current market is estimated near USD 3.0B and growth potential is aligned with the AI-observability forecast (≈31.1% CAGR).
How was the Continuous model evaluation and validation market size estimate for Braintrust Data, Inc. calculated?
Multiple market reports for model evaluation/validation platforms cluster mid‑2020s market size between about $1.1–1.8B. I select a midpoint (~$1.5B) for the continuous evaluation/validation segment. Forecast CAGRs in the results vary widely (≈9.6%–28.5%); given rapid AI adoption, regulatory drivers, and the range of published forecasts, I estimate a realistic growth potential near 20% CAGR over the coming years.
Braintrust Data, Inc. — company overview

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