Evidently AI vs Aporia
Both compete in Observability & Monitoring. Evidently AI positions itself as “Open-source and cloud observability for evaluating, testing, and monitoring ML and LLM systems”, while Aporialeads with “AI control platform combining ML observability with real-time guardrails for GenAI”. The table below compares what each publishes.
Where Evidently AI pulls ahead
Data science and MLOps teams wanting developer-first, code-native ML/LLM evaluation and monitoring with an open-source foundation
Where Aporia pulls ahead
Publishes support for SOC 2, GDPR, HIPAA, which Evidently AI does not. ML and platform teams in regulated industries needing production ML monitoring plus real-time GenAI guardrails, now within the Coralogix observability ecosystem
| Positioning | Open-source and cloud observability for evaluating, testing, and monitoring ML and LLM systems | AI control platform combining ML observability with real-time guardrails for GenAI |
|---|---|---|
| Category | Observability & Monitoring | Observability & Monitoring |
| Frameworks | None published | SOC 2, GDPR, HIPAA |
| Deployment | Open-source, SaaS, Cloud, On-prem, API | SaaS, Cloud, On-prem, API |
| Built for | Data Science / ML | Data Science / ML, Security, Risk, Compliance |
| Founded | 2020 | 2019 |
| Headquarters | San Francisco, California, USA | Tel Aviv, Israel |
| Ownership | Private, independent; venture-backed (Y Combinator alum) | Acquired by Coralogix in December 2024 (reported ~$50M); operates as part of Coralogix as of mid-2026 |
| Funding | $15M Series A (Dec 2024, led by DN Capital, with Clear Ventures, Fellows Fund, Framework Ventures, Stephens); Y Combinator-backed | ~$30M raised pre-acquisition, including a $25M Series A in 2022 (investors: Tiger Global, TLV Partners, Samsung Next, Vertex Ventures) |
| Pricing | Free open-source core (Apache 2.0); commercial Cloud and Enterprise tiers with undisclosed/contact-sales pricing | Commercial SaaS with free tier historically offered; enterprise/custom pricing (also listed via Microsoft Marketplace) |
| Key capabilities |
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| Integrations | Python, GitHub, Databricks, MLflow, Airflow, Grafana | OpenAI, Azure OpenAI, Amazon SageMaker, Databricks, Snowflake, Slack, Microsoft Azure Marketplace, Coralogix |
| Notable customers | DeepL, Wise, Flo Health, PlushCare, Realtor.com, Plaid, Databricks | None published |
| Best for | Data science and MLOps teams wanting developer-first, code-native ML/LLM evaluation and monitoring with an open-source foundation | ML and platform teams in regulated industries needing production ML monitoring plus real-time GenAI guardrails, now within the Coralogix observability ecosystem |
| Limitations | Positioned as an evaluation/observability toolkit rather than a full regulatory-compliance or GRC platform; no explicit mapping to named governance frameworks; commercial pricing is not public; governance features are monitoring-oriented rather than policy/attestation-oriented | Now part of Coralogix, so the standalone product roadmap and branding are being absorbed into a larger platform, which may affect independent adoption; public list of named customers is limited, and buyers should confirm current packaging post-acquisition. |
Which should you shortlist?
Choose Evidently AI if data science and MLOps teams wanting developer-first, code-native ML/LLM evaluation and monitoring with an open-source foundation
Choose Aporia if mL and platform teams in regulated industries needing production ML monitoring plus real-time GenAI guardrails, now within the Coralogix observability ecosystem
Neither is a substitute for a governance program. Whichever you pick, you still need people who can define the policies the tool enforces.
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