Company blog · Jan 2026
Announces automated prompt optimization in the open-source library, including multiple optimization strategies, validation splits, early stopping, and built-in overfitting prevention.
Open-source monitoring for machine learning models
Company research
Public company, workplace, funding, and market signals
Updated Jul 29, 2026
Overview
Evidently AI builds an open-source AI evaluation and observability framework for ML models, LLM apps, RAG systems, and AI agents, with commercial/self-hosted platform options for teams that want collaboration, tracing, dashboards, and enterprise controls.
Primary product
Evidently, an open-source AI evaluation and observability framework
Founded
2020
Headquarters
San Francisco, California, United States
Team size
1-10 employees
Work style
Flexible
Industry
Software Development
Sub-industry
AI evaluation and observability / MLOps
Offices
Open Positions
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