Monitaur

Spec sheet

Purpose

Monitaur provides AI governance and machine learning assurance for models across their lifecycle.Read 4 Oct 2026 · monitaur.ai

Product

Monitaur provides an enterprise AI governance platform for managing models across their lifecycle, including generative AI, agentic AI, and traditional models.Read 5 Oct 2026 · monitaur.ai

API

Monitaur says its rich client libraries and API access connect to existing modeling and MLOps tools.Read 5 Oct 2026 · monitaur.ai

Integrations

The integrations page lists Databricks, MLflow, DataRobot, Azure, Amazon SageMaker, Amazon Bedrock, ServiceNow, GitHub, LangFuse, and Confluence.Read 5 Oct 2026 · info.monitaur.ai

Security

Monitaur says it has maintained SOC 2 Type 2 compliance since October 2021 and encrypts customer data at rest and in transit.Read 5 Oct 2026 · monitaur.ai

Support

The company invites prospective customers to schedule a walkthrough or contact its team, and lists [email protected] for direct inquiries.Read 5 Oct 2026 · monitaur.ai

Headquarters

Boston, Massachusetts, United StatesRead 28 Sep 2026 · monitaur.ai

Founded

2019Read 28 Sep 2026 · monitaur.ai

API access

Monitaur says it offers client libraries and API access to connect with modeling and MLOps tools.Read 4 Oct 2026 · monitaur.ai

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.Read 5 Oct 2026 · monitaur.ai

Company location

A company press release datelined September 29, 2026 identifies Monitaur as based in Boston, Massachusetts.Read 5 Oct 2026 · monitaur.ai

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.Read 5 Oct 2026 · monitaur.ai

Data isolation

Monitaur says each customer receives unique infrastructure and that customer data is kept separate from other customers.Read 5 Oct 2026 · monitaur.ai

Data separation

Monitaur says each customer has separate infrastructure and data is not shared between customers.Read 4 Oct 2026 · monitaur.ai

Governance workflow

The platform supports policy review, program design, risk assessment, education, model inventory, common controls, collaborative workflows, and vendor governance.Read 5 Oct 2026 · monitaur.ai

Implementation

The platform page describes launch in 90 days and a library of 33 flexible controls for high-risk models.Read 5 Oct 2026 · monitaur.ai

Intended audience

Monitaur describes its platform as enterprise-focused and designed for regulated industries, including insurance.Read 5 Oct 2026 · monitaur.ai

Intended customers

Monitaur describes its vendor governance solution as tailored to regulated enterprises managing third-party AI systems.Read 4 Oct 2026 · monitaur.ai

Inventory and controls

It centralizes business use cases and related models and provides a Controls Library of governance best practices.Read 4 Oct 2026 · monitaur.ai

Model coverage

The platform supports governance for generative AI, agentic AI, and traditional modeling approaches.Read 4 Oct 2026 · monitaur.ai

Model validation

FlightSim uses synthetic simulations to evaluate high-impact AI before deployment and provides letter grades and remediation recommendations.Read 5 Oct 2026 · monitaur.ai

Production monitoring

Automate Record validates drift and bias in production and logs AI decisions against safe ranges.Read 5 Oct 2026 · monitaur.ai

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.Read 4 Oct 2026 · monitaur.ai

Validation

FlightSim uses synthetic simulations to evaluate models before deployment and provides letter grades and remediation recommendations.Read 4 Oct 2026 · monitaur.ai

Where Specifiction places it

• AI Powered Regulatory Compliance Software#7 of 187.2
• AI governance tools#26 of 567.5
• AI Governance Software#35 of 567.3