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
San Francisco, California, United States
Business model
open-source software
commercial self-hosted platform
enterprise support and services
Funding
People & investors
Work & culture
Open-source and community-driven, with a strong emphasis on practical education, transparency, modularity, and a remote-first, distributed team culture.
Work style
Flexible
Compensation
Public job postings show U.S.-based roles at roughly $120k-$300k plus equity (about 0.05%–0.5%), depending on role and seniority.
Product & market
Pricing
Open-source core plus commercial/self-hosted platform and enterprise support; no public list pricing found on the official site.
Differentiators
- —Open-source under Apache 2.0 with full metric transparency
- —Works across classic ML, RAG, LLMs, and AI agents
- —100+ built-in metrics and custom eval support
- —Reports, test suites, live dashboards, tracing, and dataset management
- —Modular approach that lets teams start small and scale up
- —No-code collaboration features for non-technical users in commercial editions
Technology
Apache 2.0
Python
OpenTelemetry
GitHub Actions
Google Cloud Platform
PostgreSQL
SQLite
Docker
Kubernetes
FastAPI
Django
TypeScript
React
Jupyter
Streamlit
bash
Linux
Cloudflare
Customers
DeepL
Wise
Flo Health
PlushCare
Western Governors University
Realtor.com
Plaid
Wayflyer
Databricks
JUMO
Competitors
Arize AI
Fiddler AI
WhyLabs
NannyML
Langfuse
LangSmith
Scale & contact
Estimated revenue
$0-5M
Estimated monthly visits
156.1K
Traffic estimate as of Jun 2026
Latest news
Company blog · Nov 2025
Brings tracing storage/viewer and raw dataset management into open-source Evidently, while keeping it lightweight and self-hostable.
Company blog · Jul 2025
Expands open-source Evidently with RAG evaluation and testing features, plus synthetic datasets and dashboards.
Company blog · Jun 2025
Introduces a GitHub Action for running Evidently tests in CI and saving results for monitoring and collaboration.
Company blog · Sep 2024
Launches Evidently Cloud with tracing, datasets, evals, no-code workflows, and enterprise/self-hosted deployment options.
Jobs and careers at Evidently AI
0 jobs at Evidently AI
No open positions
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