Monitaur

What is Monitaur?

Monitaur is a platform designed to help companies build responsible AI systems. It provides workflows for documenting the entire lifecycle of AI projects in one place, with a focus on governance that keeps AI models fair and accountable. Monitaur brings together data, governance, risk, and compliance teams, helping reduce AI risks while enabling companies to make full use of AI technologies.

Who created Monitaur?

Monitaur was founded by Anthony Habayeb (Co-founder & CEO), Andrew Clark (Co-founder & CTO), and Michael Herman (Co-founder & Lead Engineer). The team has backgrounds in corporate innovation, machine learning, assurance, and software development. Their mission is to build confidence and trust in AI by delivering fairness, accountability, and positive impact through governance.

What is Monitaur used for?

• Governing responsible AI: Set up and manage AI responsibly.
• Reducing AI system risks: Spot and manage potential problems.
• AI lifecycle documentation: User-friendly workflows to document every step of AI projects.
• Scaling model governance: Support governance practices as you grow.
• Proving AI ethics: Demonstrate that AI models are ethical.
• Monitoring for bias and anomalies: Watch for biases and unusual patterns.
• Document control and compliance: Manage documents and meet compliance standards.
• Log and version management: Track changes and versions.
• Risk mitigation: Reduce risk through inspection, testing, and verification.
• A trusted single source: A reliable record for maintaining honest AI practices.

Who is Monitaur for?

• Regulatory Counsel: Those working with banks, fintech, financial services, and insurance companies.
• Industry Executives: Professionals involved in enterprise risk management, insurtech, or compliance.
• Actuarial Advisors: Advisors with experience in technology and insurance domains.
• Legal Counsel: Specialists in regulatory issues for banking, fintech, financial services, and insurance.

How does Monitaur work?

Monitaur centers on four key processes: Monitor, Govern, Record, and Audit. You monitor for anomalies, document and control processes, gain understanding through logging and versioning, and inspect for biases, test, and verify through audits.

Its modules support these processes:

• GovernML and RecordML: Log, version, and understand your data, and address issues like bias, drift, and anomalies in models.
• MonitorML: Inspect, test, and verify model integrity with a complete audit trail.

The platform also supports implementing the “three lines of defense” model for building responsible AI systems, streamlining governance practices to reduce risk and improve performance.