About Open Beta
Open Beta translates physical climate risk into financial metrics, asset by asset and hazard by hazard. Matthias Sammer and Martin Wieser combine banking risk systems, satellite-based climate intelligence and applied AI, so every figure we deliver can be traced to its source and defended.
The Team
Matthias Sammer
Data & AI Consultant
As founder of Open Beta, Matthias develops the AI and data systems clients rely on in production. Not prototypes. Not slide decks. Systems with audit trails, measurable outcomes, and human control from day one.
Before Open Beta, Matthias shipped across domains that rarely overlap: reporting and risk control systems in banking. Satellite-based climate intelligence for national agencies. AI-driven data curation services for financial markets. Supply chain traceability for the global industry. Different domains. Same outcome: production-grade systems you can trust.
What that means for you: Matthias walked into complex, data-heavy environments where others delivered presentations - and built systems that are still running. He understands regulated industries, messy data, and the difference between a demo and something your team uses on Monday morning.
Full range: AI, tech stacks, innovation, data engineering, R&D, delivery, business and commercialisation. He feels just as comfortable in a codebase as he does in front of the board.
Martin Wieser
Data & AI Consultant
As partner at Open Beta, Martin turns analyses into production-grade systems teams can run. Not experiments. Not 'innovation projects.' Robust pipelines, maintainable services, and monitoring that keep outcomes measurable over time.
Martin shipped across the full stack for nearly three decades: software architecture and delivery for digital products, long-running platforms in travel tech, and applied AI in domains like ESG monitoring, anomaly detection, and computer vision. He combines engineering pragmatism with the discipline to make solutions operate under real constraints.
What that means for you: Martin is the person who makes improvements stick after the insights are clear - in legacy environments, with imperfect data, and without turning your business into an IT mega-project. He knows the difference between a dashboard and a workflow your team actually uses.
Full range: AI, system architecture, engineering, data pipelines, applied AI, delivery. As comfortable debugging in production as aligning stakeholders on what 'done' means.