Evidently AI
Evidently AI provides an open-source AI evaluation and observability platform, offering an Apache 2.0 Python library with 100+ metrics and a commercial Cloud/Enterprise tier for testing, monitoring, and drift detection across LLMs, RAG applications, AI agents, and predictive ML models used by thousands of companies including DeepL, Wise, Plaid, and Databricks.
- Company typePrivate
- Founded2021
- HeadquartersSan Francisco, United States
- Headcount1–10
- GTM typeB2B
- OfferingSoftware
What Evidently AI does
Evidently AI operates an open-source AI evaluation and observability platform built around an Apache 2.0 licensed Python library containing more than 100 built-in metrics for assessing LLMs, RAG applications, AI agents, and predictive ML models. The technical core combines statistical drift detection (PSI, KS tests, sequential change detection), LLM-as-a-Judge evaluators using 50+ external model providers via LiteLLM, and structured synthetic data generation for test scenarios. Descriptors provide row-level scoring, Reports deliver dataset-level analysis, and Test Suites enable conditional pass/fail checks that integrate into CI/CD pipelines.
The business runs on a freemium open-source model: the Python library is free and distributed via GitHub and pip, while paid Cloud and Enterprise tiers add tracing, dataset management, dashboards, alerting, and synthetic data generation. Distribution is global and primarily product-led, with self-serve Cloud registration and a likely direct sales motion for Enterprise customers. Marketing is anchored on community building — a 3,000+ member Discord, free LLM evaluation courses, technical documentation, and educational content covering 800+ ML/LLM use cases and 250+ LLM benchmarks.
The company was founded in 2021 by Elena Samuylova (Co-Founder, President & CEO) and Emeli Dral (Co-Founder & CTO), is headquartered in San Francisco, and has 1-10 employees. Customers range from startups to enterprises and include DeepL, Wise, Plaid, Flo Health, Realtor.com, PlushCare, Western Governors University, Wayflyer, JUMO, and Databricks. Only one funding round is disclosed — a $125,000 investment in August 2021 from Y Combinator, Fly Ventures, and Davidovs Venture Collective — and no revenue, ARR, or subsequent financing has been publicly reported.
Evidently AI firmographics
Firmographics- Name
- Evidently AI
- Legal name
- Evidently AI, Inc.
- Website
- https://evidentlyai.com
- Company type
- Private
- Founded year
- 2021
- Operating status
- Operating
- Headcount range
- 1–10 employees
- Short description
- Evidently AI provides an open-source AI evaluation and observability platform, offering an Apache 2.0 Python library with 100+ metrics and a commercial Cloud/Enterprise tier for testing, monitoring, and drift detection across LLMs, RAG applications, AI agents, and predictive ML models used by thousands of companies including DeepL, Wise, Plaid, and Databricks.
- Ownership category
- akta.pro rank
Evidently AI industry classification
Industry- Product category
- AI/ML Observability and Evaluation Software
- NAICS
- Software Publishers (5132), Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (5182)
- SIC
- Services-Prepackaged Software (7372)
- akta.pro primary industry
- AI Observability, Monitoring & Evaluation Platforms (Drift, Quality, Safety) (HDAEANAF)
- akta.pro secondary industries
- Model Testing, Validation & Quality Assurance (HDAAABAH), Model Hosting, Serving & Inference Platforms (HDAAACAB), Bias, Fairness & Representativeness Testing for Datasets (HDAAALAK)
Keywords
Where Evidently AI is headquartered
LocationHeadquarters
- HQ city
- San Francisco
- HQ country
- United States
- HQ region
- North America
Markets served
Evidently AI business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Technology or R&D, Personnel, Infrastructure, Marketing or Sales, Operations
Revenue model
- Open-source Library: Free Apache 2.0 licensed Python library available for download via pip, GitHub. Core evaluation capabilities available at no cost to drive adoption and community growth.
- Evidently Cloud: SaaS platform with additional features including synthetic data generation, managed evaluations, tracing, and collaborative dataset management. Tiered pricing likely with Pro features.
- Evidently Enterprise: Enterprise tier with advanced features including built-in alerting (email, Slack, Discord), larger scale monitoring, and dedicated support.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Freemium | Others | Open-source Community |
Go-to-market motion1 record
Distribution channels4 records
Marketing channels8 records
Evidently AI product offering
Product offeringCore offering
Evidently AI sells an open-source Python evaluation library (Apache 2.0) and a hosted Cloud/Enterprise platform used by data science and ML engineering teams to evaluate, test, and monitor LLM applications, RAG systems, AI agents, and predictive ML models. The offering bundles 100+ built-in metrics, LLM-as-a-Judge evaluations across 50+ LLM providers, data drift detection, synthetic data generation, prompt optimization, and CI/CD-ready Test Suites with dashboards and alerting. Revenue is generated via tiered subscriptions for the hosted platform while the open-source library drives community-led adoption.
Product overview
Evidently AI is an open-source AI evaluation and observability platform consisting of two main components: the Evidently Python Library (Apache 2.0) and the Evidently Platform (Cloud/Enterprise). The Python library provides 100+ built-in metrics for evaluating LLMs, RAG applications, AI agents, and traditional ML models, including LLM-as-a-Judge evaluation, synthetic data generation, and prompt optimization. The Platform extends these capabilities with cloud hosting, project management, tracing, dataset management, dashboards, and alerting. The system integrates with 50+ LLM providers via LiteLLM and supports both standalone Python usage and platform-connected workflows.
Differentiator
Problem solved
Functional benefit
Products and services
- Evidently Python Library An open-source Apache 2.0 Python library with 100+ built-in metrics for evaluating, testing, and monitoring LLMs, RAG applications, AI agents, and traditional ML models. Used standalone or as part of the Evidently Platform by data scientists and ML engineers for LLM evaluation, data quality checks, data drift detection, classification, regression, and ranking metrics.
- Evidently Platform (Cloud and Enterprise) A hosted Cloud and Enterprise SaaS platform for AI testing and observability infrastructure, including tracing, storage for AI application data and evaluation runs, test dataset management, dashboards for visualizing evaluation results, and alerting capabilities (email, Slack, Discord). Offered as a Pro Cloud tier and an Enterprise tier with dedicated support for production LLM and ML monitoring use cases.
Quantifiable outcome
- 40M+ downloads of open-source library
- +2 more outcomes
Companies that use Evidently AI
Customer profileNamed customers11 records
Segments3 records
Ideal customer profiles3 records
Evidently AI technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
AI capability5 records
Feature5 records
Evidently AI partnerships and signals
Strategic signalScale indicators4 records
Recent moves6 records
Expansion highlights5 records
Evidently AI competitors and assessment
Company assessmentDirect peers
- LangSmith: LangSmith (by LangChain) provides LLM evaluation, tracing, and monitoring tooling for LLM-powered applications, directly overlapping with Evidently's LLM evaluation, testing, and prompt optimization features.
- Weights & Biases: Weights & Biases is an MLOps platform with model evaluation, experiment tracking, and LLM tooling used by similar ML engineering teams—competing for the same AI builder and data scientist personas.
- Comet: Comet is an MLOps platform offering experiment tracking, model evaluation, and LLM monitoring, serving the same data scientist and ML engineer audience as Evidently with comparable capabilities.
- Arize AI: Arize AI is a direct competitor offering an AI observability and LLM evaluation platform with drift detection, tracing, and evaluation features—closely overlapping with Evidently's core offering for AI/ML teams.
- Fiddler AI: Fiddler AI provides an AI observability and explainability platform for ML and LLM models, including performance monitoring, bias detection, and drift analytics—directly comparable to Evidently's evaluation suite.
- WhyLabs: WhyLabs offers an AI observability platform with data drift, model monitoring, and LLM evaluation capabilities, targeting similar ML engineering and AI builder personas as Evidently.
Emerging players
- MLflow: MLflow is an open-source ML lifecycle platform with model tracking, evaluation, and monitoring features—used by similar ML engineering teams and integrated alongside Evidently by some customers.
- DeepEval: DeepEval is an open-source LLM evaluation framework with similar LLM-as-a-Judge and testing capabilities, targeting overlapping AI builder use cases and offering an alternative open-source path.
Broad incumbents
- Monte Carlo: Monte Carlo is a data observability incumbent expanding into AI/ML monitoring; it serves similar enterprise data and analytics buyers but as a broader data reliability platform rather than a pure AI evaluation specialist.
- Datadog: Datadog is a broad observability incumbent that has added LLM and ML monitoring capabilities, competing for the same enterprise observability budget as Evidently with a much larger platform footprint.
Market position
Strengths4 records
Weaknesses4 records
Competitive moat5 records
Key risks5 records
Key highlights6 records
Customer concentration
Evidently AI social profiles
Digital presenceEvidently AI financial estimates
Financial estimateRevenue estimate
Valuation estimate
Evidently AI leadership team
Management profileNumber of profiles
Profiles2 records
Evidently AI funding detail
Funding detailFunding overview
Funding rounds1 record
Investors3 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Evidently AI M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Evidently AI
What does Evidently AI do?
Evidently AI sells an open-source Python evaluation library (Apache 2.0) and a hosted Cloud/Enterprise platform used by data science and ML engineering teams to evaluate, test, and monitor LLM applications, RAG systems, AI agents, and predictive ML models. The offering bundles 100+ built-in metrics, LLM-as-a-Judge evaluations across 50+ LLM providers, data drift detection, synthetic data generation, prompt optimization, and CI/CD-ready Test Suites with dashboards and alerting. Revenue is generated via tiered subscriptions for the hosted platform while the open-source library drives community-led adoption.
Is Evidently AI a public or private company?
Evidently AI is a private company. It is classified as venture growth investor backed and is currently operating.
When was Evidently AI founded?
Evidently AI was founded in 2021. It employs 1 to 10 people.
Where is Evidently AI based?
Evidently AI is headquartered in San Francisco, United States, in the North America region.
How does Evidently AI make money?
Three revenue lines are on record. Open-source Library is the primary driver. The others are evidently Cloud and evidently Enterprise.
Who are Evidently AI's main competitors?
Direct peers on record are LangSmith, Weights & Biases, Comet, Arize AI, Fiddler AI and WhyLabs. Emerging players are MLflow and DeepEval. Broad incumbents are Monte Carlo and Datadog.
Does Evidently AI have an API?
Yes. The Evidently Python library provides programmatic API access for running evaluations. The platform includes a Cloud API that can be accessed via the Python library to upload datasets, run evaluations, manage Projects, and configure monitoring. Evidently uses LiteLLM to call different model APIs which implements 50+ providers including OpenAI, Anthropic, Gemini, Mistral, and Ollama. The platform supports connecting to Evidently Cloud or local workspace for evaluation tracking and monitoring. Developer documentation is at docs.evidentlyai.com.
What industry is Evidently AI in?
Evidently AI's product category is AI/ML Observability and Evaluation Software. Its primary akta.pro industry code is HDAEANAF, AI Observability, Monitoring & Evaluation Platforms (Drift, Quality, Safety), with a secondary code of HDAAABAH, Model Testing, Validation & Quality Assurance. Its NAICS code is 5132 and its SIC code is 7372.