Kaapu offers AI governance tools that help organizations proactively manage risks and ensure AI systems align with ethical guidelines and business objectives. Their platform provides monitoring and evaluation capabilities to maintain AI safety and compliance throughout the AI lifecycle. This allows companies to build and deploy AI responsibly while mitigating potential harms.
Funding
Funding not disclosed
Founders
Product
Problem
Organizations face challenges in ensuring their AI systems adhere to ethical guidelines, comply with regulations, and align with business objectives. Traditional policy-based safety measures become obsolete as AI systems surpass human performance, making it difficult to proactively manage risks throughout the AI lifecycle. This can lead to potential harms and compliance issues.
Solution
Kaapu AI offers an AI governance platform that enables organizations to create, enforce, and monitor AI policies tailored to their specific needs and values. The platform combines policy generation with real-time observability and automated compliance checks, ensuring AI systems remain safe and aligned with organizational requirements. By integrating policy enforcement throughout the ML development lifecycle, Kaapu AI provides full observability and transparency, allowing organizations to proactively identify and mitigate potential risks. The platform's personalized AI policy model detects drift during inference and measures differences during training, ensuring continuous compliance and alignment.
Target Audience
Kaapu AI's primary customers are enterprises seeking to implement preventive AI governance and ensure their AI systems operate safely, ethically, and in compliance with regulations.
Features
- AI Policy Generator: Generates customized AI policies aligned with leading standards like NIST, ISO, and OECD principles.
- Real-time Observability: Monitors AI model behavior and detects policy drifts in real-time during training and inference.
- ML Lifecycle Integration: Seamlessly integrates policy enforcement throughout the ML development lifecycle.
- Automated Compliance: Ensures continuous compliance with automated policy checks and enforcement mechanisms.
- Risk Assessment: Identifies and mitigates potential risks in AI systems before they become issues.
- Reporting & Analytics: Generates comprehensive reports and insights about AI governance status.
- Personalized Policy Generator: A personalized, local AI policy ML model that generates and enforces tailored policies with automated compliance throughout model development.