WhyLabs vs Aporia
Both compete in Observability & Monitoring. WhyLabs positions itself as “Privacy-preserving AI observability via open-source whylogs and LangKit (acquired by Apple)”, while Aporialeads with “AI control platform combining ML observability with real-time guardrails for GenAI”. The table below compares what each publishes.
Where WhyLabs pulls ahead
Teams seeking free, open-source, privacy-preserving ML and data monitoring via whylogs and LangKit, rather than a supported commercial product.
Where Aporia pulls ahead
Publishes support for SOC 2, GDPR, HIPAA, which WhyLabs 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 | Privacy-preserving AI observability via open-source whylogs and LangKit (acquired by Apple) | 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, API | SaaS, Cloud, On-prem, API |
| Built for | Data Science / ML | Data Science / ML, Security, Risk, Compliance |
| Founded | 2019 | 2019 |
| Headquarters | Seattle, Washington, USA | Tel Aviv, Israel |
| Ownership | Acquired by Apple (deal dated January 2025); commercial operations discontinued and founding team joined Apple; platform released as open source. No longer an independent vendor as of mid-2026. | Acquired by Coralogix in December 2024 (reported ~$50M); operates as part of Coralogix as of mid-2026 |
| Funding | Approximately $14M raised before acquisition, including a ~$10M Series A; backed by AI Fund, Madrona Venture Group, and Jeff Bezos. | ~$30M raised pre-acquisition, including a $25M Series A in 2022 (investors: Tiger Global, TLV Partners, Samsung Next, Vertex Ventures) |
| Pricing | Formerly freemium SaaS; now open-source only (whylogs, LangKit) with no commercial offering or vendor support | Commercial SaaS with free tier historically offered; enterprise/custom pricing (also listed via Microsoft Marketplace) |
| Key capabilities |
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| Integrations | Apache Spark, MLflow, Amazon SageMaker | OpenAI, Azure OpenAI, Amazon SageMaker, Databricks, Snowflake, Slack, Microsoft Azure Marketplace, Coralogix |
| Notable customers | None published | None published |
| Best for | Teams seeking free, open-source, privacy-preserving ML and data monitoring via whylogs and LangKit, rather than a supported commercial product. | ML and platform teams in regulated industries needing production ML monitoring plus real-time GenAI guardrails, now within the Coralogix observability ecosystem |
| Limitations | No longer an independent commercial vendor - acquired by Apple in 2025 and operations discontinued; only the open-source projects remain, with no vendor support, SLAs, or active product roadmap. | 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 WhyLabs if teams seeking free, open-source, privacy-preserving ML and data monitoring via whylogs and LangKit, rather than a supported commercial product.
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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