Overview
Monitaur is an enterprise AI governance platform founded in 2019 (Boston) focused on insurance and other highly regulated industries. Leadership: CEO & co‑founder Anthony Habayeb. Recent funding: $6M Series A (closed May 2024). The platform combines program services (policy review, program design, risk assessment, education, gap analyses, launch planning and role mapping) with a core product that provides a complete inventory/system of record for models and use cases, a reusable common controls library (~33 flexible controls noted on site), collaborative workflows and ownership mapping, vendor/third‑party governance patterns, a pre‑deployment "Flight Simulator" for validation, continuous monitoring (drift, bias, performance), stress testing and robust validation for high‑risk models, and automated decision logging and evidence collection for audit readiness. Monitaur emphasizes measurable fairness work (disparate impact, multi‑dimensional operating bounds) and linking technical performance to business value. Notable outcomes cited on the site include an insurance case study (90 days) reporting roughly 30% cost savings (vs outsourcing), design-to-delivery in 90 days for key policies and controls, and a 3x increase in AI project inventory within 6 months; a Fortune 200 example (Forrester/press) reported 8x growth in AI model inventory in six months and fast policy/risk implementation timelines (32–46 days). Recognition: named a Strong Performer and Customer Favorite in The Forrester Wave: AI Governance Solutions, Q3 2025. Mentioned customers/partners include Progressive Insurance, CAPE Analytics, Nayya, and a strategic partnership with PwC Germany. Public pricing is not published (site pricing page returns 404 / "Not Found"); Monitaur directs inquiries and demo/pricing requests to contact channels ([email protected], contact forms, LinkedIn). Key public pages captured: homepage, platform, solutions/governance program, insurance case study (90 days), company/about, Series A press release, and a Forrester announcement/info page. Recommendations for next steps: contact [email protected] or request a demo for pricing/licensing details; request API documentation, SOC/ISO/compliance attestations and sample evidence exports for technical due diligence; request references (one insurer and one Fortune 200 example), an implementation timeline, and an SOW for a pilot or 90‑day onboarding.
Key Features
Program services
Policy review, program design, risk assessment, education, gap analyses, launch planning and role mapping to operationalize governance.
Model inventory / system of record
Complete inventory for models and use cases to centralize metadata, ownership and lifecycle tracking.
Common controls library
Reusable controls library (site notes ~33 flexible controls) to standardize controls across models and use cases.
Collaborative workflows & ownership mapping
Workflows that map responsibilities and enable collaborative governance processes across teams.
Vendor / third‑party AI governance
Pre‑mapped controls and intake patterns for governing third‑party models and vendors.
Pre‑deployment validation (Flight Simulator)
A flight simulator for pre‑deployment validation, stress testing and robust validation for high‑risk models.
Who Can Use This Tool?
- Insurance:Insurers seeking centralized AI governance, controls libraries, and audited evidence collection for compliance.
- Highly regulated industries:Organizations in finance, healthcare or regulated sectors needing measurable fairness and robust validation.
- Enterprise AI / Risk & Compliance teams:Enterprise teams implementing model inventories, vendor governance, monitoring and audit‑ready evidence workflows.
Pricing Plans
Pricing information is not available yet.
Pros & Cons
✓ Pros
- ✓Focused on insurance and highly regulated industries — deep industry alignment.
- ✓Comprehensive feature set from program services to continuous monitoring and evidence collection.
- ✓Reusable controls library and a system of record for models and use cases.
- ✓Pre‑deployment validation (Flight Simulator) and robust stress testing for high‑risk models.
- ✓Recognized by Forrester (Strong Performer, Customer Favorite) and cited customer outcomes/case studies.
- ✓Integration‑ready architecture and APIs for enterprise systems.
✗ Cons
- ✗No public pricing or published plans (pricing page returns 404); pricing requires contacting the vendor.
- ✗Public technical/compliance artifacts (SOC/ISO attestations, API docs) are not posted and must be requested.
- ✗Primary vertical focus on insurance may require evaluation for fit in non‑regulated or non‑insurance contexts.
Compare with Alternatives
| Feature | Monitaur | Holistic AI | Enkrypt AI |
|---|---|---|---|
| Pricing | N/A | N/A | N/A |
| Rating | 8.4/10 | 8.3/10 | 8.2/10 |
| Model Inventory | Yes | Yes | No |
| Policy & Controls | Yes | Yes | Partial |
| Pre-deployment Testing | Yes | Yes | Partial |
| Continuous Monitoring | Yes | Yes | Yes |
| Vendor Governance | Yes | No | No |
| Automated Evidence | Yes | Partial | Partial |
| API & Integrations | Yes | Yes | Yes |
| LLM Safety Tools | Partial | Partial | Yes |
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