Monitaur
The facts below are what the maker publishes about Monitaur, checked and dated. Our editors have not written about it yet.
The facts
Each one read from Monitaur's own pages, with the date it was checked.
What it does
- API
- Monitaur says its rich client libraries and API access connect to existing modeling and MLOps tools.checked 5 Oct 2026
- API access
- Monitaur says it offers client libraries and API access to connect with modeling and MLOps tools.checked 4 Oct 2026
- Controls and frameworks
- Monitaur says Automate Record maps decision-log evidence to its Common Controls and supports frameworks including NIST AI RMF, ISO 42001, and the EU AI Act.checked 5 Oct 2026
- Data isolation
- Monitaur says each customer receives unique infrastructure and that customer data is kept separate from other customers.checked 5 Oct 2026
- Data separation
- Monitaur says each customer has separate infrastructure and data is not shared between customers.checked 4 Oct 2026
- Governance workflow
- The platform supports policy review, program design, risk assessment, education, model inventory, common controls, collaborative workflows, and vendor governance.checked 5 Oct 2026
- Implementation
- The platform page describes launch in 90 days and a library of 33 flexible controls for high-risk models.checked 5 Oct 2026
- Integrations
- The integrations page lists Databricks, MLflow, DataRobot, Azure, Amazon SageMaker, Amazon Bedrock, ServiceNow, GitHub, LangFuse, and Confluence.checked 5 Oct 2026
- Intended audience
- Monitaur describes its platform as enterprise-focused and designed for regulated industries, including insurance.checked 5 Oct 2026
- Intended customers
- Monitaur describes its vendor governance solution as tailored to regulated enterprises managing third-party AI systems.checked 4 Oct 2026
- Inventory and controls
- It centralizes business use cases and related models and provides a Controls Library of governance best practices.checked 4 Oct 2026
- Model coverage
- The platform supports governance for generative AI, agentic AI, and traditional modeling approaches.checked 4 Oct 2026
- Model validation
- FlightSim uses synthetic simulations to evaluate high-impact AI before deployment and provides letter grades and remediation recommendations.checked 5 Oct 2026
- Product
- Monitaur provides an enterprise AI governance platform for managing models across their lifecycle, including generative AI, agentic AI, and traditional models.checked 5 Oct 2026
- Production monitoring
- Automate Record validates drift and bias in production and logs AI decisions against safe ranges.checked 5 Oct 2026
- Purpose
- Monitaur provides AI governance and machine learning assurance for models across their lifecycle.checked 4 Oct 2026
- Security
- Monitaur says it has maintained SOC 2 Type 2 compliance since October 2021 and encrypts customer data at rest and in transit.checked 5 Oct 2026
- Security practices
- Its security program references the NIST Cybersecurity Framework v1.1 and OWASP application security verification standards, and includes yearly third-party penetration tests.checked 4 Oct 2026
- Support
- The company invites prospective customers to schedule a walkthrough or contact its team, and lists [email protected] for direct inquiries.checked 5 Oct 2026
- Validation
- FlightSim uses synthetic simulations to evaluate models before deployment and provides letter grades and remediation recommendations.checked 4 Oct 2026
The company
- Company history
- The homepage says Monitaur has been visionary since 2019; the opened company page names Anthony Habayeb, Andrew Clark, and Michael Herman as co-founders.checked 5 Oct 2026
- Company location
- A company press release datelined September 29, 2026 identifies Monitaur as based in Boston, Massachusetts.checked 5 Oct 2026
- Founded
- 2019checked 28 Sep 2026
- Headquarters
- Boston, Massachusetts, United Stateschecked 28 Sep 2026
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