We develop data and analytics systems whose results can support real decisions. Every number remains traceable from use back to source.
Data analytics turns scattered data into information people can use with confidence. It is not enough for a number to be correct once: people need to know what it means, where it came from and whether it is current enough for the decision at hand.
Nuitio connects the relevant sources, agrees the meaning of the key figures with the people who use them, and develops the calculations and tools around them. The result is analysis that can be understood, checked and adapted when the business or the data changes.
Once information can be understood and trusted, it becomes a practical resource for better decisions and day-to-day work. The examples below make that potential tangible and provide concrete reference points for considering what your data could help the organisation see, decide or do differently.
When sources use different definitions, time references and quality boundaries, even a correct calculation becomes difficult to explain. We connect the sources through clear data contracts and make quality, lineage and freshness traceable through validation rules and monitoring.
Demand remains uncertain while people, equipment and time slots still have to be planned. We combine historical patterns with known constraints, validate the model against earlier periods, and expose its assumptions and adjustment points.
Revenue alone does not show how rework, shared capacity and ongoing service costs affect the result of an offering. We connect revenue and cost data through versioned allocation logic, making assumptions and changes in price, volume or cost explicitly reviewable.
Below is a selection of work by Nuitio and earlier projects by our founders.
For a bank’s bond desk, the project improved the accuracy and visibility of information used in trading. It processed Bloomberg market data with core calculations optimised to run in under one millisecond, maintaining a gap-free, low-latency flow of current figures to traders’ screens even under heavy load.
Nuitio developed the in-house platform to cover the complete lifecycle of quantitative trading strategies in one system. Built from the ground up with its software delivery pipeline, it connects research and validation with execution and operations.
For a multinational insurer, the model quantifies how a deterioration in one group entity’s financial position affects the solvency of others. It maps connections such as ownership, internal reinsurance and guarantees, then calculates the resulting knock-on effects across the group.
For a Swiss bank, a bank-wide calculation determines the regulatory capital requirement for market risk. It consolidates the required risk and position data from the bank’s trading and risk systems.
Send Tobias a short note about what you have in mind. In an initial conversation, we discuss the project and possible next steps.
PhD, ETH Zürich · Financial Risk Manager · IMD Future Leaders
