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Data as of May 29, 2026
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Braintrust
Enterprise AI evaluation and observability
AI InfrastructureFounded 2023#14 of 55 in AI Infrastructure
Updated May 29, 2026
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Company profile
What is Braintrust?
Braintrust provides an enterprise AI platform designed for the evaluation, observability, and improvement of large language model (LLM) applications. It enables teams to monitor LLMs in production, gather human feedback, utilize automated metrics, and experiment with prompt engineering to build better AI solutions faster.
Latest company data
Primary data point
Downloads
8.9M/30d
- npm
- 3.9M
- PyPI
- 5.0M
Tracked packages: npm braintrust; PyPI braintrust
▲ +28%npm + PyPI: Updated 1d ago
Other data points
Dependent projects
90
- npm
- 62
- PyPI
- 28
Projects depending on tracked packages: npm braintrust; PyPI braintrust
npm + PyPI: Updated 11h ago
GitHub stars
397
Main repository stars
Updated 11h ago
Hacker News
5/30d
Position #29 in category discussion
Updated 11h ago
Repository health
Maintenance data from the main open-source repository.
Key-person riskSource: GitHub public event dataUpdates: WeeklyCaveat: Minimum developers needed for half of recent code changes. Lower = higher concentration risk.Methodology →
1
External contributorsSource: GitHub public event dataUpdates: WeeklyCaveat: Based on push events; may undercount contributors who only open PRsMethodology →
58
% of recent contributors outside the core team
Releases (30d)Source: GitHub release dataUpdates: WeeklyCaveat: Published releases in the last 30 daysMethodology →
0
Repository usage
Public repositories and source files importing packages tied to Braintrust.
Repos importingMetric: Public GitHub repos using company packagesSource: ecosyste.ms Packages APIScope: UTC daily snapshotUpdates: DailyFreshness: 48h target; 48h expected source lagConfidence: HighCaveat: Public GitHub dependency data only; private repos and direct API use outside those packages are not visible.Methodology →
10%
About Braintrust
Braintrust provides an enterprise AI platform designed for the evaluation, observability, and improvement of large language model (LLM) applications. It enables teams to monitor LLMs in production, gather human feedback, utilize automated metrics, and experiment with prompt engineering to build better AI solutions faster.
FoundersAlexandre Robicquet, Jonathan Raiman, Michael Raiman
Funding
$124M · 3 roundsRaised $124M total. Category position #14 of 55 in AI Infrastructure.
Venture2021
$100MCoatue, Tiger Global
Strategic Investment2020
$18MACME, Blockchange
Seed2020
$6MTrue Ventures, Homebrew
Investors
ACMEBlockchangeCoatueHomebrewTiger GlobalTrue Ventures
Tracked packages (2)
1 npm, 1 PyPI
braintrust
npmMain npm packagebraintrust
Enterprise AI evaluation and observability
braintrust
PyPIMain PyPI packagebraintrust
Enterprise AI evaluation and observability