AI Productivity

Fair-code workflow automation with native AI — self-hosted or cloud

Open-source AI workflow automation — 400+ MCP servers for AI agents

AI second brain — self-hosted RAG with web search, agents, and automation

Open-source LLM observability — tracing, evals, cost tracking, prompt management

AI observability — tracing, evaluation, experimentation

One-line LLM observability — real-time dashboards and cost tracking

LangChain ops platform — tracing, debugging, testing, evaluation

Prompt management — version control, analytics, A/B testing

ML lifecycle — experiment tracking, model packaging, registry

AI trust — user feedback, performance monitoring, governance

ML model monitoring — data drift detection, performance reports

Lightweight data logging for ML monitoring — profile data, detect anomalies

Data labeling — text, image, audio, video annotation

Data curation — human-in-the-loop for LLM training data

Data integration — 350+ connectors, ELT pipelines

Data pipelines — notebook-style ETL with AI

Data transformation — analytics engineering standard

Feature store — serve ML features consistently

Data validation — test, document, profile your data