WhyLabs
AI observability and control platform for monitoring, improving and securing LLMs, ML models, RAG systems, prompts, data pipelines and AI applications.
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 (11-50)
- Funding stage
- Series A
- Company type
- Private (Private)
- Pricing model
- Licensing Open Source Subscription (Open source plus SaaS / enterprise subscription)
- Last updated
- Jun 21, 2026
Revenue estimate
~$10.6M ARR estimate (Latka 2024; unverified)
Valuation estimate
Unknown
Investments
~$14M total; $10M Series A in 2021
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)
Classification (raw research text)
- Core focus
- AI observability and LLM monitoring
- Core industry
- AI Quality / Observability
- Core category
- AI observability platform
Shown verbatim from the research spreadsheet — deriving structured segment/industry tags from this text is a future phase.
Attribute breakdown
- AI Workflows Secondary feature
- System / API Integration Secondary feature
- Prompt Management / Prompt Engineering Secondary feature
- Retrieval-Augmented Generation Secondary feature
- AI / LLM Data Pipeline Primary focus
- Model Deployment / Inference Infrastructure Secondary feature
- Traditional Machine Learning Primary focus
- AI Quality Assurance / LLM Evaluation Primary focus
- AI Observability / Monitoring Primary focus
- AI Security / Guardrails Primary focus
- Data Privacy / PII / Confidential AI Secondary feature
- AI Governance / Policy Management Secondary feature
- AI Risk / Compliance Primary focus
- AI Asset Inventory / Model Registry Secondary feature
- Human-in-the-Loop Review / Feedback Secondary feature
- Text Chatbots / Conversational Assistants Secondary feature
- AI for Customer Experience / Support Automation Secondary feature
- Analytics / BI / Decision Intelligence Primary focus
Show all 32 attributes
- AI Workflows Secondary feature
- AI Automation / Business Process Automation Not emphasized
- AI Fine-tuning / Custom Model Training Not emphasized
- Agent Builder / Agent Configuration Not emphasized
- Multi-agent Orchestration / Runtime Not emphasized
- System / API Integration Secondary feature
- Prompt Management / Prompt Engineering Secondary feature
- Retrieval-Augmented Generation Secondary feature
- Graph RAG / Knowledge Graph Retrieval Not emphasized
- Enterprise Search / Knowledge Management Not emphasized
- AI / LLM Data Pipeline Primary focus
- Document AI / Document Processing Not emphasized
- Model Deployment / Inference Infrastructure Secondary feature
- Traditional Machine Learning Primary focus
- AI Quality Assurance / LLM Evaluation Primary focus
- AI Observability / Monitoring Primary focus
- AI Security / Guardrails Primary focus
- Data Privacy / PII / Confidential AI Secondary feature
- AI Governance / Policy Management Secondary feature
- AI Risk / Compliance Primary focus
- AI Asset Inventory / Model Registry Secondary feature
- Human-in-the-Loop Review / Feedback Secondary feature
- Call Transcription / Speech-to-Text Data Capture Not emphasized
- Conversation Intelligence / Speech Analytics Not emphasized
- Text Chatbots / Conversational Assistants Secondary feature
- Voice AI Agents Not emphasized
- Voice Infrastructure / STT / TTS Not emphasized
- AI for Customer Experience / Support Automation Secondary feature
- Sales / Revenue Intelligence Not emphasized
- Analytics / BI / Decision Intelligence Primary focus
- Enterprise App / Internal Tool Builder Not emphasized
- Vertical-Specific AI Not emphasized