Funding
Funding not disclosed
Founders
Product
Problem
Organizations deploying AI face a fragmented regulatory landscape, with laws such as GDPR, DPDPA, and the EU AI Act imposing complex, evolving compliance requirements across the entire AI lifecycle. Manual tracking and enforcement of these rules are resource‑intensive and prone to gaps, increasing legal risk and limiting the ability to scale AI initiatives responsibly.
Solution
United Regulation offers an integrated AI governance platform that automates compliance with global AI and data‑privacy regulations. The platform provides continuous observability of AI models, data pipelines, and outcomes, linking them to a regulatory intelligence engine that translates disparate legal texts into actionable controls. Built‑in advisory and stewardship services add strategic guidance and human oversight to ensure responsible AI deployment. By embedding accountability mechanisms directly into operational systems, the solution enables enterprises to maintain precise, scalable alignment with current and future regulatory standards while reducing manual compliance effort.
Target Audience
Primary customers are enterprises and organizations that develop, deploy, or manage AI systems and must adhere to data‑privacy and AI regulations, including technology firms, financial services, healthcare providers, and public sector agencies.
Features
- Continuous monitoring dashboard that tracks AI model behavior, data usage, and risk metrics against regulatory requirements
- Regulatory intelligence module that maps global AI, privacy, and security laws to configurable governance policies
- Automated generation of compliance artifacts, such as impact assessments, audit logs, and reporting templates
- Integrated advisory layer offering strategic guidance and human stewardship for risk governance and accountability
- Scalable architecture that supports deployment across diverse AI environments, from cloud services to on‑premise systems
- Training and capacity‑building resources for leadership and policy teams to enhance institutional AI governance