About Tiebreaker AI 

Tiebreaker AI was founded to address one of the most persistent challenges in compliance programs: understanding whether documentation actually satisfies the requirements of regulatory frameworks before an audit begins.

Organizations often manage compliance through fragmented documentation, vendor reports, and framework checklists that are difficult to evaluate consistently. Tiebreaker AI was created to bring structure and visibility to this process by helping teams evaluate compliance evidence, identify gaps early, and prepare for audits with greater clarity.

The platform is designed to support both internal compliance programs and vendor verification workflows across regulated industries.

Why We Built Tiebreaker AI

Many compliance programs rely on manual document review, spreadsheets, and disconnected tools to determine whether policies, procedures, and vendor documentation satisfy framework requirements.

Tiebreaker AI was created to bring structure to this process by evaluating compliance evidence against regulatory frameworks and highlighting where requirements may not yet be supported by sufficient documentation.

This helps organizations move from reactive audit preparation toward a more structured and transparent approach to compliance readiness.

Our Approach

Tiebreaker AI combines structured documentation analysis with controlled use of artificial intelligence to help organizations evaluate compliance evidence consistently.

Artificial intelligence is applied as a controlled analytical tool to assist in evaluating documentation and identifying potential gaps, while organizations retain full control over compliance decisions and remediation actions.

This approach supports teams operating in regulated environments where reliability, transparency, and responsible use of AI are essential.

Our Team

Tiebreaker AI is built by a team focused on improving how organizations prepare for audits and manage compliance documentation in regulated environments.

Our work is informed by experience across compliance programs, regulatory frameworks, and software systems designed to support organizations operating under complex regulatory requirements.

Matthias Kucharska-Hulsmann

Chief Executive Officer

With over 17 years of experience in enterprise software development and organizational leadership, Matthias leads Tiebreaker AI’s strategy, product direction, and execution.
He focuses on building scalable, reliable platforms that support complex enterprise environments, while fostering a collaborative and resilient company culture. His work is centered on helping organizations operate with clarity, confidence, and efficiency as they grow.

Moritz Uebler

Chief Technology Officer

Moritz brings over a decade of diverse experience in software development, architecture, and project management to his role as CTO. Having worked extensively in research and development, consulting, and customer service processes, he has gathered his expertise in full-stack development and software architecture.

His background includes leading large-scale technology initiatives and driving innovation across complex IT systems. Outside of work, Moritz enjoys mountain biking, running, photography, and exploring his passion for music.