Unorma is a compliance and governance software platform that enables organizations to manage, assess, and document adherence to AI regulations and standards across multiple jurisdictions and frameworks. Unorma belongs to the regulatory compliance and AI governance software category. It is designed for organizations that develop, deploy, or use artificial intelligence systems and need to align with evolving legal, ethical, and technical requirements. The platform supports cross-framework compliance, including the EU AI Act, ISO/IEC 42001, the NIST AI Risk Management Framework (RMF), the Colorado AI Act, and other emerging regulations. It is used by compliance teams, legal departments, AI product managers, and risk officers to centralize governance processes and maintain audit readiness. The platform provides structured workflows and documentation tools to help organizations map their AI systems against regulatory requirements. It supports use cases such as risk classification, impact assessments, internal audits, policy management, and ongoing monitoring of AI systems. By consolidating multiple frameworks into a unified system, Unorma allows users to reduce duplication of effort and maintain consistency across compliance initiatives. Key capabilities include: * Multi-framework compliance management, allowing users to work simultaneously across standards such as EU AI Act, ISO 42001, and NIST RMF within a single environment * AI risk assessment and classification tools to evaluate systems based on regulatory criteria and document associated risks * Centralized documentation and audit trails that support internal governance and external regulatory reviews * Policy and control mapping features that align organizational processes with specific legal and technical requirements * Continuous monitoring and update mechanisms to reflect changes in regulations and maintain ongoing compliance status Unorma is typically used by organizations operating in regulated industries or those deploying AI in high-impact contexts, where accountability and transparency are required. It supports both early-stage compliance planning and mature governance operations by providing a structured, repeatable approach to managing AI-related obligations across different regulatory landscapes.