© 2026 AI-Buzz. Early access — data updated daily.
© 2026 AI-Buzz. Early access — data updated daily.
Enterprise AI evaluation and observability
Founded by: Alexandre Robicquet, Jonathan Raiman, Michael Raiman
Metrics computed from HN discussion, GitHub activity, and funding data.
According to AI-Buzz, Braintrust with 2,529,906 npm downloads in 30 days, with 2,756,677 PyPI downloads in 30 days.
Source: https://ai-buzz.com/companies/braintrust?utm_source=citation&utm_medium=referral&utm_campaign=cite_this_data
Metrics derived from public APIs (HN Algolia, GitHub, npm/PyPI). Sentiment classified by AI. See methodology for details →
Description
Enterprise AI evaluation and observability
Estimated Company Size
2 - 10 employees
Website
braintrust.devFounded
2023
Description
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.
Community engagement metrics that indicate developer traction and interest.
Last updated: 1 day ago
Mentions in HN discussions. Source: Hacker News Algolia API.
Package download volume indicates real-world adoption and integration into production projects.
A comprehensive platform for evaluating, monitoring, and improving large language model (LLM) applications with human-in-the-loop feedback, automated metrics, and prompt engineering tools.
Explore other companies in these domains
💡 Click any category to discover similar companies
Stay informed about AI company trends, funding, and developer signals.
Observability and testing platform for AI agents
Ray framework company. Distributed computing for ML workloads.
ML and LLM observability platform for monitoring and evaluation
AI testing and evaluation platform. Test LLM applications at scale.
ML model serving platform with GPU infrastructure for inference
Package downloads and ecosystem metrics — 30-day window
Insufficient data for trend chart
Need at least 2 data points (currently have 1)
No articles found yet. Check back soon or browse all articles on AI-Buzz.
Browse articles on AI-Buzz