Members of the
Technical Team.

Alex Touvras

AI & Data Systems Lead · Finland

Alex Touvras is an AI & Data Systems Lead with a background in credit risk, quantitative modelling, and technology delivery. He combines expertise in data analytics, AI, and software engineering to turn complex business problems into intelligent systems that support better decisions and measurable outcomes. Drawing on his experience in financial services, he focuses on bridging business strategy, data, and technology to build solutions that deliver lasting value.

Data science often breaks down at the handoffs; from data warehouse to notebook, model serving, BI, presentations. OpenBI keeps the entire workflow in one project. In a few iterations, I can shape the data, train and approve a model, optimize performance, generate insights, produce an executive-ready narrative, and export the final deliverable, with an AI agent working on the same artefacts alongside me.

The result: less time moving between tools, more time turning analysis into decisions.

Martin Pries-Brøndberg

AI Business Partner for Operations · Banking, Data & Applied AI · Denmark

Martin Pries-Brøndberg is an AI Business Partner for Operations with more than 12 years of experience across banking, technology, and analytics. His background spans FP&A, commercial analysis, operations, and risk - from budgeting, P&L management, and pricing to Power BI, applied AI, data science, and portfolio stress testing.

Today, Martin works as a forward-deployed AI engineer, partnering with Customer Service, Underwriting, Disbursement, and Operations Support teams to identify valuable opportunities, shape practical solutions, and bring AI opportunties into useful solutions. An MSc candidate in Finance and Strategic Management, he combines strategic perspective with deep hands-on technology experience to connect business priorities with effective solutions and make operations more efficient.

Having spent years building, maintaining, and using Power BI and Fabric, I’ve seen how AI is reshaping analytics. Open BI gives AI agents a solid framework for developing and maintaining analytics, making it faster and easier for businesses of any size to get started and create value - an opportunity that should not be underestimated.

Patricio Lobos

Software Engineer · Norway

Patricio Lobos is a software engineer who has worked extensively in banking and IT consulting. He combines deep expertise in SQL and analytical engines with the languages closest to the metal: assembly, C and C++.

For me, agentic work began in November 2024, when Anthropic opened the Model Context Protocol. I created the first set of MCP servers to solve finance and data-analysis tasks, then fused them into OpenBI.

Agents are great, but they need a firewall: a semantic model, the layer where your definitions live. And that layer has to answer in milliseconds, or there is no real dialogue.

That is what OpenBI brings, and what no other tool on the planet can.