Nuitio is a founder-led engineering and technology consultancy. We develop and modernise software, build data analytics and quantitative platforms, and use AI in a controlled way throughout delivery.
We build and modernise software and data systems and carry technical decisions through to implementation. What matters is an outcome that works in operation and that your team can continue to own and evolve.
AI expands delivery capacity while accountability stays with the team
AI expands what a small, experienced team can deliver. We use it in software engagements and develop AI-enabled ways of working for engineering teams.
Quality standards and final responsibility remain with the people who own the outcome.
Decisions grounded in data you can trust
We develop data and analytics systems that turn distributed data into a shared, reliable basis for work.
Your team can trace and explain the results, then use them for decisions, processes and models.
Technical decisions that can be implemented
We create clarity when several options are plausible and each has long-term consequences.
You get a sound decision and a path that remains manageable in stages.
Software you can keep changing safely
We develop new software and modernise existing systems with the operating environment and the team that will own them in mind.
You get a maintainable system that operates reliably and can adapt as requirements change.
We bring more than a decade of delivery experience in financial services, spanning digital banking, trading and markets systems from desk analytics to quantitative platforms, and risk, capital and regulation.
We connect web and mobile through shared components and modularise existing platforms with microapps and central integration services. The existing estate can keep operating while it is renewed in stages, without waiting for a complete rewrite.
We connect market and reference data, analytics and platform components so they work together reliably from research through to the trading desk. Results remain traceable, timely and usable in daily operations.
Methodology, numerical implementation and documentation describe the same calculation, so a run can be repeated and reviewed from the same inputs. The model methodology remains traceable through the calculation run to the capital or solvency result.
Channels and platforms modernised in stages
We connect web and mobile through shared components and modularise existing platforms with microapps and central integration services.
The existing estate can keep operating while it is renewed in stages, without waiting for a complete rewrite.
Bringing data, research and platforms into live operations
We connect market and reference data, analytics and platform components so they work together reliably from research through to the trading desk.
Results remain traceable, timely and usable in daily operations.
Quantitative methodology implemented as reproducible software
Methodology, numerical implementation and documentation describe the same calculation, so a run can be repeated and reviewed from the same inputs.
The model methodology remains traceable through the calculation run to the capital or solvency result.
Every engagement follows one clear path, from clarifying the outcome to handing it over, led by a senior team. We agree scope and approach around the result, not as a fixed package.
We start with the result that needs to work, the current system or way of working, the constraints, the people involved and a clear definition of done.
We turn the outcome into a concrete path: sequence, responsibilities, delivery mode, and time and cost expectations. Where uncertainty matters, we test it before committing to implementation.
We deliver the agreed outcome and make it operable beyond the engagement. We finish when your team has the knowledge and ownership to run it without us.
The people clarifying requirements and architecture remain involved through implementation. Options are tested against what can actually be built, integrated and operated.
A senior team leads the engagement from clarification through implementation. The people making the key decisions remain accountable for the delivered result.
We define the architecture, domain constraints, review roles and quality checks before AI-assisted work proceeds, then verify the result against them.
Nuitio is founder-led. Tobias and Fabian are your direct points of contact, combining quantitative finance and risk modelling with software architecture and platform engineering: two complementary backgrounds, one senior team. We are based in the Zürich area and work with companies across Europe.
PhD, ETH Zürich · Financial Risk Manager · IMD Future Leaders
MSc Computer Science, ETH Zürich · MAS MTEC, ETH Zürich
Send us a short note about what you have in mind. In an initial conversation, we discuss the project and possible next steps.
