Nuitio is a founder-led engineering and technology consultancy. We build and modernise software and improve how engineering teams deliver it, applying AI where it expands our senior team's capacity.
AI is changing the economics of software delivery, bringing projects within reach where the effort of implementation and coordination once outweighed the benefit. We founded Nuitio to take those projects from possibility to production. We connect software engineering, data analytics and technology strategy from the business need through implementation. AI operates within the architecture, domain rules and quality standards we define. At the same time, we help engineering teams build those controls into their own AI-enabled ways of working.
Software that works in operation and stays safe to change
We develop new software and modernise existing systems in controlled stages, with automated tests and traceable releases.
You get a maintainable system that operates reliably and can adapt as requirements change.
Decision-ready data, traceable back to source
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 tested against implementation
We assess the existing system, compare viable options and prototype the assumptions that decide the path.
The result is a reasoned decision and a staged route into implementation.
Controlled AI for software delivery
Across software engineering, data analytics and technology strategy, we use AI for clearly defined tasks. We also help engineering teams develop AI-enabled ways of working for their own environment.
In both cases, we define the architecture, domain rules and quality standards up front, then review AI-generated results against them.
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.
We develop quantitative risk and solvency models and implement regulatory capital calculations in software. Assumptions, inputs and calculation steps are documented so that results remain traceable and calculation runs repeatable.
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.
Taking quantitative methodology into operational use
We develop quantitative risk and solvency models and implement regulatory capital calculations in software.
Assumptions, inputs and calculation steps are documented so that results remain traceable and calculation runs repeatable.
Each engagement is shaped around the result you need.
We start by agreeing what the work needs to achieve and how we will know it is complete. We do this in the context of your current systems or ways of working, the constraints and the people involved.
With the outcome clear, we set out the sequence, responsibilities, and expected timeframe and cost. Depending on the project, we may carry out the work for you, deliver it jointly with your team or work as part of your team. If the right route is still uncertain, we investigate the open questions using a prototype or a limited pilot before deciding on full implementation.
We deliver what we agreed and hand it over so your team can operate and develop it further. We finish when your team has the knowledge and responsibility to take it forward without depending on us.
When shaping the requirements and architecture, we consider from the outset how the solution can be developed, integrated into your existing systems and operated.
From the first conversation through handover, you work directly with the same senior engineers.
Before using AI, we define the architecture, domain rules and quality checks. We then assess AI-generated results against them.
Nuitio is founder-led. Tobias and Fabian are your direct points of contact. Together, we combine quantitative finance and risk modelling with software architecture and platform engineering. 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
The first conversation clarifies the context and finds a useful next step, no technical specification required. Send a short note about your idea, the current situation, or the outcome you want.
