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Select companies in the slots below to reveal a useful side-by-side view. You can compare up to four companies and change any selection later.
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| Description | ||||
| Summary | AI observability and control platform for monitoring, improving and securing LLMs, ML models, RAG systems, prompts, data pipelines and AI applications. | |||
| Description | Continuously monitors ML models, LLM applications, prompts, RAG context, responses, metadata and data pipelines for drift, data quality, performance, safety, bias and risk using WhyLabs plus open-source whylogs/langkit. | |||
| Positioning | AI observability and control platform | |||
| Key facts | ||||
| HQ location | Seattle, WA, USA | |||
| Founded | 2019 | |||
| Employee range | 11-50 | |||
| Funding stage | Series A | |||
| Company type | Private | |||
| Pricing model | licensing open source, subscription | |||
| Last updated | Jun 21, 2026 | |||
| Financials | ||||
| Revenue estimate | ~$10.6M ARR estimate (Latka 2024; unverified) | |||
| Valuation estimate | Unknown | |||
| Investments | ~$14M total; $10M Series A in 2021 | |||
| Relationships | ||||
| Target customers | ML, data and AI platform teams monitoring production AI | |||
| Key competitors | Arize AI, Fiddler AI, Galileo, LangSmith, Weights & Biases | |||
| Known customers | Fortune 100 companies and AI-first startups (company claim) | |||
| Segments & Industries | ||||
| Segments | AI Workflows, AI Developer Tools, Knowledge & RAG, LLM Deployment, AI Quality & Observability, Traditional ML, AI Governance & Risk, Chatbots, Analytics & BI | |||