Monitaur is a company committed to ensuring ethical and accountable models and systems through effective governance while driving innovation and accelerating the positive impact of artificial intelligence. Founded by domain experts in corporate innovation, machine learning, assurance, and software development, Monitaur offers AI Governance and ML Assurance solutions combined with a cutting-edge machine learning platform supported by rigorous engineering principles. The company focuses on creating transparency and assurances to support regulatory compliance while independently assuring and trusting in the AI systems that affect our daily lives.
TLDR
Monitaur offers AI Governance and ML Assurance solutions with a cutting-edge machine learning platform supported by rigorous engineering principles. The company guarantees ethical and accountable models while promoting transparency and regulatory compliance. Monitaur's solutions aim to foster accountability and fairness in AI and enhance trust in machine learning systems, leading to a safer and more equitable future for everyone.
Company Overview
Monitaur is a company dedicated to enhancing people's lives by providing reliability and trust in artificial intelligence (AI) applications. They firmly believe in a world where AI is developed responsibly and improves our daily lives. Monitaur exists to make that ideal world a reality.
They are committed to delivering ethical and accountable models and systems through effective governance while accelerating the positive impact of AI on our lives.
The company was established by a group of domain experts with profound knowledge in corporate innovation, machine learning, assurance, and software development. The team includes the Co-founder & CEO, the Co-founder & CTO, and the Co-founder & Lead Engineer. The organization is built on a foundation of three core values: integrity, care, and innovation.
Monitaur guarantees to be a trustworthy partner to those they serve, providing AI Governance and ML Assurance solutions that boost innovation. They also help to create transparency and assurances to support regulatory compliance while independently assuring and trusting in the AI systems that affect us and our daily lives.
By focusing on dependable and ethical machine learning applications, Monitaur helps usher in a safer and more equitable future for everyone. Their objective is to assist businesses, regulators, and policymakers in information transparency, fairness in decision-making, and accountability in AI deployment. Monitaur's end-to-end ML Assurance capability combines a cutting-edge machine learning platform with several quality-control procedures supported by rigorous engineering principles.
It enhances trust in machine learning systems, makes them more inclusive, and advances the good that innovative technology can do for society.
Monitaur's ultimate aim is to foster accountability and fairness in AI, ensuring that all systems are tested and validated before reaching our daily lives. Their pioneering attempts to provide effective governance and independent assurance of AI systems create transparency, strengthen public confidence and trust. This helps to promote the adoption of AI and gives greater confidence to businesses, regulators, and the general public in understanding the risks and benefits that AI systems entail.
Features
GovernML Platform
Document AI Lifecycle
The GovernML platform provides scalable workflows that document the entire lifecycle of your AI models, enabling you to maintain a single source of evidence for ML engineers, data scientists, compliance officers, and executive decision-makers. The platform is user-friendly, making it easy for everyone involved in the AI development process to access and contribute to the documentation, from model development to deployment, ensuring that your AI remains responsible and ethical at all times.
Log and Version Incidents
You can log and version every incident and model decision on the GovernML platform, providing transparency for leadership and regulators alike. It grants complete visibility of the model decisioning process, revealing how models are coming to conclusions and making predictions, ensuring you can rectify any issues with the AI, make changes and constantly improve the model. This also helps to build trust with customers and regulators by demonstrating full traceability of the model's behavior and decision-making.
Continuous Monitoring of AI Systems
With GovernML, you can continuously monitor the performance, security and decision-making of your AI models, allowing you to identify risks before they become risky. The platform proactively flags bias, drift or other changes to the AI's performance, allowing you to take action before it poses a problem. With continuous monitoring, you can ensure that your AI models remain accurate, trustworthy and ethical throughout their entire lifecycle, providing customers with a reliable and trustworthy service.
RecordML
Audit Logs of AI Models
RecordML allows you to keep audit logs of all your AI models, providing a comprehensive audit trail of model developments and decisions. It can quickly and easily identify which strategies are successful and which need improvement. This enhances transparency in AI model development, compliance with regulatory requirements, and boosts confidence in the model's accuracy and reliability.
RecordML's audit logs are also useful for insurance companies or risk analysis on specific models, providing concrete evidence on any discrepencies.
Visualization of Model Performance
RecordML offers intuitive visualizations of AI model performances over time, making it easy for model developers and decision-makers to quickly assess the accuracy, performance, and security of the model. The platform allows the user to easily identify where the model needs improvement or optimized, avoiding unnecessary or unproductive trial and error. This visualization also helps to communicate the AI's analytics to accountable parties, such as data scientists or technical analysts or board members for informed decisions
Automate Model Performance Evaluations
RecordML allows you to automate the process of evaluating the performance of the AI models, using pre-set metrics or unique custom metrics determined by the user. This automation can save time and increase the accuracy of the performance evaluations. It also allows financial or insurance institutions the ability to efficiently and quickly report on model performance or anomalies.
MonitorML
Real-time Model Comparison
MonitorML allows you to run real-time comparisons of your AI models, ensuring that you have a clear understanding of how different models compare to one another. This comparison can provide valuable insight into which models are more accurate, efficient, ethical, and reliable in making predictions or decisions. With competitor or comparative data so accessible, this can lead to better benchmarks or industry results or goals.
Early Detection of Bias and Drift
MonitorML uses advanced monitoring techniques to continually detect any bias or drift in your AI models. This means that if the model begins to drift away from reliability, you can take immediate action to rectify these issues. This transparency in model behavior ensures that the AI remains ethical, responsible, and accurate, preventing distrust or unfixable impacts on the model's performance.
AI Performance Dashboards
MonitorML provides AI performance dashboards, showing how the models are performing in real-time, and how they have evolved over time. The dashboard provides a comprehensive overview of the AI's performance and its accuracy, as well as real-time analytics for comparison across models. The dashboards give the user the ability to establish a clear understanding of the AI's performance or behavior, leading to better decision-making for model development and improvement.
AuditML
Regulatory Compliance Capabilities
AuditML makes it easy for you to remain compliant with regulatory and other stakeholders' requirements by providing comprehensive audit logs and easy access to the history of the model's development, change, and decisions. AuditML also provides regulatory reporting capabilities, streamlining the regulatory compliance process while building trust and credibility with key stakeholders.
Explainable AI Capabilities
AuditML allows business owners and regulatory bodies to understand why an AI model made a particular decision. Explainable AI is becoming increasingly essential as more consumers demand transparency and accountability from companies. AuditML ensures that your AI remains explainable, providing transparency and assuring stakeholders that your AI is working as intended-
Actionable Insights into Model Development
AuditML provides you with actionable insights into your AI model's development and decision-making, ensuring that you can quickly resolve any issues or identify opportunities for improvement. The platform allows you to generate powerful analytics, identify where models are underperforming or where improvements are needed, and how to move forward. This insight includes data around feature importance or explainability, leading to opportunities to apply some interpreted innovations or model adjustments to improve the AI's performance or accuracy.
FAQ
What is Monitaur's core value?
Monitaur's core value is integrity, care, and innovation. The company aims to provide reliable and trustworthy AI governance solutions that promote transparency, accountability, and fairness in AI deployment. With its cutting-edge machine learning platform and rigorous engineering principles, Monitaur enhances trust in machine learning systems, makes them more inclusive, and advances the good that innovative technology can do for society.
What kind of services does Monitaur offer?
Monitaur provides AI Governance and ML Assurance solutions. Its end-to-end ML Assurance capability unites every stage of your AI and machine learning journey with cloud-based governance applications. Using its policy to proof roadmap, Monitaur defines, documents, manages, and verifies your policies and how they live in your AI models with testing and evidence on one central platform.
The company's governance solutions help to create transparency and assurances to support regulatory compliance while independently assuring and trusting in the AI systems that affect us and our daily lives.
What are the benefits of using Monitaur's solutions?
By using Monitaur's solutions, businesses, regulators, and policymakers can benefit from information transparency, fairness in decision-making, and accountability in AI deployment. Monitaur's pioneering attempts to provide effective governance and independent assurance of AI systems create transparency, strengthen public confidence and trust. This promotes the adoption of AI and gives greater confidence to businesses, regulators, and the general public in understanding the risks and benefits that AI systems entail.
Moreover, Monitaur's AI governance solutions help to mitigate the risks associated with AI deployment, ensuring that all systems are tested and validated before reaching our daily lives. With Monitaur's solutions, organizations can ensure ethical machine learning applications, ushering in a safer and more equitable future for everyone.
Who are the people behind Monitaur?
Monitaur was established by a group of domain experts with profound knowledge in corporate innovation, machine learning, assurance, and software development. The team includes the Co-founder & CEO, the Co-founder & CTO, and the Co-founder & Lead Engineer. The organization is built on a foundation of three core values: integrity, care, and innovation.
What is the ultimate goal of Monitaur?
The ultimate aim of Monitaur is to foster accountability and fairness in AI, ensuring that all systems are tested and validated before reaching our daily lives. Monitaur guarantees to be a trustworthy partner to those they serve, providing solutions that boost innovation and create transparency and assurances to support regulatory compliance while independently assuring and trusting in the AI systems that affect us and our daily lives.
Monitaur's pioneering attempts to provide effective governance and independent assurance of AI systems create transparency, strengthen public confidence and trust. This helps to promote the adoption of AI and gives greater confidence to businesses, regulators, and the general public in understanding the risks and benefits that AI systems entail.
