Monitaur
AI governance platform for regulated and consequential AI/model systems, focused on policy, evidence, controls, and lifecycle oversight.
Monitaur provides AI and model governance across the lifecycle with model inventory, policy and control documentation, risk assessments, monitoring evidence, and governance workflows for regulated organizations.
Positioning
AI governance platform for serious AI
Key facts
- HQ location
- Boston, MA, USA
- Founded
- 2019
- Employee range
- 11-50 (20-50)
- Funding stage
- Series A
- Company type
- Private (Private)
- Pricing model
- Custom Quote Subscription (Enterprise SaaS subscription / quote-based)
- Last updated
- Jun 21, 2026
Revenue estimate
Unknown
Valuation estimate
Undisclosed
Investments
$6M Series A in May 2024; prior disclosed funding in 2023
Target customers
Insurance, financial services, healthcare, and regulated enterprises; model risk, compliance, and governance teams
Key competitors
Credo AI, Collibra, Dataiku, IBM watsonx.governance, ModelOp, Saidot, Cranium
Known customers
Verisk Discovery Navigator; unnamed leading P&C insurance customers
Classification (raw research text)
- Core focus
- AI governance, model governance and responsible AI controls
- Core industry
- AI Governance / GRC
- Core category
- AI governance and model risk management 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
- AI Automation / Business Process Automation Secondary feature
- System / API Integration Secondary feature
- AI / LLM Data Pipeline Secondary feature
- Traditional Machine Learning Secondary feature
- AI Quality Assurance / LLM Evaluation Secondary feature
- AI Observability / Monitoring Secondary feature
- AI Security / Guardrails Secondary feature
- Data Privacy / PII / Confidential AI Secondary feature
- AI Governance / Policy Management Primary focus
- AI Risk / Compliance Primary focus
- AI Asset Inventory / Model Registry Primary focus
- Human-in-the-Loop Review / Feedback Primary focus
- Analytics / BI / Decision Intelligence Secondary feature
- Vertical-Specific AI Secondary feature
Show all 32 attributes
- AI Workflows Secondary feature
- AI Automation / Business Process Automation Secondary feature
- 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 Not emphasized
- Retrieval-Augmented Generation Not emphasized
- Graph RAG / Knowledge Graph Retrieval Not emphasized
- Enterprise Search / Knowledge Management Not emphasized
- AI / LLM Data Pipeline Secondary feature
- Document AI / Document Processing Not emphasized
- Model Deployment / Inference Infrastructure Not emphasized
- Traditional Machine Learning Secondary feature
- AI Quality Assurance / LLM Evaluation Secondary feature
- AI Observability / Monitoring Secondary feature
- AI Security / Guardrails Secondary feature
- Data Privacy / PII / Confidential AI Secondary feature
- AI Governance / Policy Management Primary focus
- AI Risk / Compliance Primary focus
- AI Asset Inventory / Model Registry Primary focus
- Human-in-the-Loop Review / Feedback Primary focus
- Call Transcription / Speech-to-Text Data Capture Not emphasized
- Conversation Intelligence / Speech Analytics Not emphasized
- Text Chatbots / Conversational Assistants Not emphasized
- Voice AI Agents Not emphasized
- Voice Infrastructure / STT / TTS Not emphasized
- AI for Customer Experience / Support Automation Not emphasized
- Sales / Revenue Intelligence Not emphasized
- Analytics / BI / Decision Intelligence Secondary feature
- Enterprise App / Internal Tool Builder Not emphasized
- Vertical-Specific AI Secondary feature