FairAI
FairAI provides a systematic compliance platform that helps organizations, particularly municipalities, manage EU AI Act obligations across legal, IT, security, and data disciplines. The platform consolidates AI projects, assigns tasks by professional role, and generates required documentation across four lifecycle phases. It automates logging, task management, and version history while keeping human responsibility for final assessments.
- Regulatory & Compliance Technology
- Legal Technology
- Government Technology
- Software Only
- Artificial Intelligence
- Enterprise Software
Funding
Founders
Founder details are not available yet.
Product
Problem
Organizations deploying AI systems face more than 95 legal requirements under the EU AI Act, which are being phased in from 2025 onward. The compliance burden is distributed across six or more disciplines, including law, technology, data, procurement, and operations, and the documentation requirements are extensive. Many teams still manage these obligations through spreadsheets and emails, which makes it difficult to consolidate information and maintain oversight.
Solution
FairAI provides a systematic compliance platform that consolidates AI projects in one place, giving organizations the overview needed to pursue AI value without compromising regulatory compliance. The platform clarifies risks and assigns tasks within relevant protection areas such as fair treatment, transparency, and data protection. Each task is mapped to appropriate professional functions, enabling coordination and visibility into competency gaps. FairAI guides projects through four lifecycle phases and automatically generates the required transparency and documentation at each stage, with the human user retaining responsibility for professional assessments and final decisions.
Target Audience
The primary customers are municipalities and other public-sector organizations that must map existing AI systems and ensure ongoing compliance with the EU AI Act, as well as the legal, IT, security, and data professionals who manage these processes.
Features
- Automated logging, task management, version history, and notifications for documentation workflows
- Assisted templates and structures for risk assessments, DPIAs, and technical documentation
- Risk and protection area clarification covering fair treatment, transparency, and data protection
- Task breakdown by professional role, revealing competency gaps and missing resources
- Lifecycle-phase guidance with project-stage-specific requirement generation, including governance and AI literacy requirements effective August 2025 and high-risk system requirements effective August 2026
- Automation of standard tasks with human responsibility retained for professional assessments, local priorities, and final decisions