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Evidently AI pricing, features, company info, and alternatives
A factual product page for Evidently AI's evaluation and observability platform.
Last updated April 2026 · Pricing and features verified against official documentation
Pricing
Current public pricing tiers on file for Evidently AI, last verified Apr 25, 2026.
Open-source
$0
Free and open source; self-hosted dashboards, API access, and CLI access.
Developer
$0
Free plan for hobby projects and experiments with 10,000 rows per month, 1 GB snapshots, 3 projects, and 2 seats.
Pro
$80 / month
For production AI systems; includes 100,000 rows per month, 100 GB snapshots, 10 projects, 5 seats, and email support.
Startups
Special offer
Early-stage startup offer with free credits toward Pro and premium support.
Enterprise
Custom
Managed Cloud or private deployment with no-code UI, alerts, scheduled tasks, RBAC, custom SSO, audit logs, and premium support.
What You Can Do With It
The main capabilities that shape how people use Evidently AI today.
Pairs an open-source Python library with Evidently Cloud and Enterprise for local evaluation or managed workflows.
Covers ML monitoring and LLM evaluation with 100+ built-in metrics, test suites, synthetic data, dashboards, tracing, and alerting.
Supports text, tabular, and embeddings data across RAG, agent, classification, regression, ranking, and recommendation use cases.
Adds collaboration and governance features in higher tiers, including no-code UI, RBAC, custom SSO, audit logs, private cloud, and scheduled tasks.
Best For
Who Evidently AI is most clearly built for.
Teams that need one platform for both ML monitoring and LLM evaluation.
Python-first engineers who want local evaluation with an optional cloud layer for collaboration.
Organizations that need private deployment, RBAC, and auditability.
Company
Leadership and company context for Evidently AI, Inc..
CEO
Elena Samuylova
Founders
Elena Samuylova, Emeli Dral
Investors
Y Combinator, Fly Ventures, Runa Capital, Nauta Capital
Platforms
Where you can use Evidently AI today.
Web
Python library
CLI
Cloud
Self-hosted
Privacy Notes
Publicly stated data-handling notes that matter when evaluating Evidently AI.
The privacy policy says the service collects standard account and usage data such as email address, name, company name, cookies, and usage data.
The telemetry FAQ says open-source telemetry is anonymous, limited to the Monitoring UI, and does not collect dataset contents, schema, variable names, or code.
The privacy policy says personal data may be transferred to and processed in the United States.
Access
How to integrate or build around Evidently AI.
Public API
Yes
Docs
Available
Product Snapshot
Evidently AI is an evaluation and observability platform for AI systems. It combines an open-source Python library with a managed platform for testing, monitoring, tracing, and collaboration across ML and LLM workflows.
Pricing
- Open-source: free, self-hosted, with API and CLI access.
- Developer: free, with 10,000 rows per month, 1 GB snapshots, 3 projects, and 2 seats.
- Pro: $80 per month, with 100,000 rows per month, 100 GB snapshots, 10 projects, 5 seats, and email support.
- Startups: special offer, with free credits toward Pro and premium support.
- Enterprise: custom pricing, with managed Cloud or private deployment, no-code UI, alerts, scheduled tasks, RBAC, custom SSO, audit logs, and premium support.
What It Does
- Runs evaluations on text, tabular, and embeddings data.
- Supports ML monitoring, LLM evaluation, RAG testing, adversarial testing, and AI agent testing.
- Provides 100+ built-in metrics, test suites, synthetic data, dashboards, tracing, and alerting.
- Lets teams run evaluations locally or through the managed platform.
Why It Stands Out
- The product spans both open-source and managed deployment paths.
- It covers predictive ML systems and generative LLM workflows in the same platform.
- It gives technical teams a Python-first workflow while leaving room for no-code collaboration in higher tiers.
Company Context
Evidently AI says the company was founded in 2021. Elena Samuylova is the co-founder and CEO, and Emeli Dral is the co-founder and CTO. The company says it is backed by Y Combinator, Fly Ventures, Runa Capital, and Nauta Capital.
Trust and Privacy
- The service collects standard account and usage data, including email address, name, company name, cookies, and usage data.
- Telemetry for the open-source product is anonymous, limited to the Monitoring UI, and does not collect dataset contents, schema, variable names, or code.
- Personal data may be transferred to and processed in the United States.
Tradeoffs To Know
- The free and lower-cost tiers are useful for individual or small-team use, but the managed platform and enterprise controls sit behind higher tiers.
- The public materials emphasize functionality more than formal compliance certifications.
- The pricing page mixes open-source, cloud, startup, and enterprise offers, so buyers should confirm which deployment model they are evaluating.
Sources
- evidentlyai.com/pricing
- evidentlyai.com/privacy
- evidentlyai.com/terms
- evidentlyai.com/llm-evaluation-course-practice
- evidentlyai.com/ml-observability-course
- docs.evidentlyai.com/faq/why_evidently
- docs.evidentlyai.com
- evidentlyai.com/ml-monitoring
- docs.evidentlyai.com/docs/platform/overview
- docs.evidentlyai.com/docs/setup/installation
- docs.evidentlyai.com/docs/platform/evals_api
- docs.evidentlyai.com/faq/telemetry