model-risk-management
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Monitaur
Monitaur is a Boston-based B2B software company that builds an AI governance platform for highly regulated industries, most notably insurance and financial services. Its 'policy-to-proof' approach helps enterprises define AI policies, inventory and manage models, and automatically generate the evidence, monitoring, and audit trails that businesses, regulators, and consumers need to trust high-impact AI. Founded in 2019 by Anthony Habayeb, Andrew Clark, and Michael Herman, the company raised a $6M Series A in 2024 and has been recognized by Forrester as a Customer Favorite in AI governance.
Vectice
Vectice is a San Francisco-based enterprise software company that builds a 'Regulatory MLOps' platform to automate the documentation, governance, and collaborative review of AI/ML models. Using a lightweight autolog library, it captures model, data, and code lineage from tools like Python, Databricks, and Snowflake, then assembles audit-ready model development and validation documents mapped to regulatory frameworks such as SR 11-7, the EU AI Act, ISO/IEC 42001, and NIST AI. Founded in 2020 and backed by $15.6M in seed and Series A funding, Vectice targets banks, insurers, and other heavily regulated enterprises that need to scale AI without drowning in compliance paperwork.
ModelOp
ModelOp is a Chicago-based enterprise software company that builds AI governance and lifecycle automation software. Its flagship platform, ModelOp Center, acts as a centralized system of record and 'control tower' for all of an organization's AI - traditional machine learning, generative AI, agentic AI, and third-party tools - letting enterprises inventory every model, automate approvals and testing, enforce policy, monitor production systems for drift and risk, and produce audit-ready documentation. The company sells primarily to large, regulated enterprises such as financial services, healthcare, and government, and counts Fortune 500 names among its customers.