Company research
As of June 10, 2026
GitHub commits increased 37.1% over the last 30 days.
Braintrust
Enterprise AI evaluation and observability
AI InfrastructureFounded 2023#14 of 55 in AI Infrastructure
Updated June 10, 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.
History
Research history
7 research updates
History
Research history
Ai Infrastructure
Braintrust: GitHub commits increased 31.9% over the last 30 days
1 metricAi Infrastructure
Braintrust: GitHub commits increased 38.6% over the last 30 days
1 metricAi Infrastructure
Braintrust: GitHub commits increased 49.4% over the last 30 days
1 metricAi Infrastructure
Braintrust: GitHub commits increased 55.4% over the last 30 days
1 metricAi Infrastructure
Braintrust: GitHub commits increased 84.9% over the last 30 days
2 metricsAi Infrastructure
Braintrust: GitHub commits increased 112.1% over the last 30 days
1 metricAi Infrastructure
Braintrust: GitHub commits increased 62.1% over the last 30 days
1 metricLatest company data
Primary data point
Package downloads (30d)Metric: npm downloadsSource: npm registryScope: UTC activity dayUpdates: DailyFreshness: 48h target; 36h expected source lagConfidence: HighCaveat: Includes all package installations including CI/CD pipelines and mirrors.Methodology →Metric: PyPI downloadsSource: PyPI BigQueryScope: UTC activity dayUpdates: DailyFreshness: 48h target; 48h expected source lagConfidence: HighCaveat: Includes all package installations including CI/CD pipelines and mirrors; pypistats is fallback only.Methodology →
10.6M/30d
- npm
- 3.8M
- PyPI
- 6.8M
Tracked packages: npm braintrust; PyPI braintrust
▲ +46%npm + PyPI: Updated 1d ago
Other data points
Dependent projectsMetric: npm dependentsSource: Libraries.io APIScope: UTC daily snapshotUpdates: DailyFreshness: 48h target; 48h expected source lagConfidence: HighCaveat: Counts direct and dev dependents.Methodology →Metric: PyPI dependentsSource: Libraries.io APIScope: UTC daily snapshotUpdates: DailyFreshness: 48h target; 48h expected source lagConfidence: HighCaveat: Counts direct reverse dependencies from PyPI.Methodology →
92
- npm
- 62
- PyPI
- 30
Projects depending on tracked packages: npm braintrust; PyPI braintrust
npm + PyPI: Updated 15h ago
GitHub starsMetric: GitHub starsSource: GitHub GraphQL + GH ArchiveScope: UTC daily snapshotUpdates: DailyFreshness: 48h target; 24h expected source lagConfidence: HighCaveat: Stars are bookmarks, not usage.Methodology →
398
Main repository stars
Updated 15h ago
Hacker NewsMetric: Hacker News mentionsSource: Hacker News Algolia APIScope: UTC activity dayUpdates: DailyFreshness: 48h target; 24h expected source lagConfidence: HighCaveat: Search relevance and historical availability come from Algolia's HN index.Methodology →
4/30d
Position #29 in category discussion
Updated 15h 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 →
2
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