Monitaur

What is Monitaur?

Monitaur is a platform that helps companies bring responsible AI systems into the world by offering user-friendly workflows to document the lifecycle of AI journeys on a single platform. It aims to provide effective governance to ensure fairness and accountability in AI models and systems. Monitaur's focus is on uniting data, governance, risk, and compliance teams to mitigate AI risk and leverage the full potential of AI technologies.

Who created Monitaur?

Monitaur was founded by a team of experts including Anthony Habayeb as the Co-founder & CEO, Andrew Clark as the Co-founder & CTO, and Michael Herman as the Co-founder & Lead Engineer. They are deep domain specialists in corporate innovation, machine learning, assurance, and software development. The company's mission is to enhance people's lives by instilling confidence and trust in AI, aiming to deliver fairness, accountability, and positive impact through effective governance.

What is Monitaur used for?

• Governance for responsible AI
• AI system risk mitigation
• User-friendly workflows for documenting AI lifecycle
• Model governance practices at scale
• Proof of ethics for AI models
• B.I.A.S. and anomalies monitoring
• Document control and compliance monitoring
• Log and version management
• Risk mitigation through inspection, testing, and verification
• Trusted single source for maintaining honest AI

Who is Monitaur for?

• Regulatory Counsel focusing on banks, fintech, financial services, and insurance
• Industry Executive with expertise in enterprise risk management, insurtech, and compliance
• Actuarial Advisor with experience in technology and insurance domains
• Counsel specializing in regulatory issues surrounding banks, fintech, financial services, and insurance

How to use Monitaur?

To use Monitaur effectively, follow these steps:

1. Understanding Governance Frameworks: Familiarize yourself with AI governance frameworks to translate concepts into actionable practices for your company's AI journey. Monitaur provides a platform to document the lifecycle of AI projects efficiently.

2. Three Lines of Defense: Utilize Monitaur as your starter kit for implementing responsible AI systems. Benefit from user-friendly workflows that streamline governance practices, enhancing risk mitigation and overall performance.

3. Key Processes: Monitor, Govern, Record, Audit — these are key processes within Monitaur. Monitor anomalies, document and control processes, understand through logging and versioning, inspect for biases, test, and verify through audits.

4. GovernML and RecordML: These modules focus on logging, versioning, and understanding data, while addressing bias, drift, and anomalies in models. Use MonitorML for inspecting, testing, and verifying model integrity through a comprehensive audit trail.

5. Community Trust: Check out Monitaur's homepage for insights from industry experts like Evan Daniels, Christy Kaufman, and Joshua Pyle. These professionals bring a wealth of experience in regulatory issues, risk management, actuarial science, and more.

6. Core Values: Monitaur is anchored by integrity, care, and innovation, ensuring a commitment to providing trustworthy AI solutions that accelerate innovation and uphold ethical standards.

By following these steps and leveraging Monitaur's features, you can enhance your AI governance practices and ensure responsible and effective AI implementation within your organization.