The model
Every company created by Startup Bakery is built around three structural technology components, inherited from the studio at birth.
The infrastructure
It generates operational efficiency and scalability: software is not just the product being sold, it is the infrastructure that lets the company scale. Technology research is concentrated in the studio, so every new company starts from components that are already proven instead of building them from scratch.
Not an added feature but the operating engine: the proprietary technology framework gives every startup access to high-value AI services, integrated from the very development of the product.
The ability to collect, structure and put to work the data produced while delivering the service, turning it into the startup’s main competitive and defensive asset.
Why data
AI models are more and more powerful and more and more alike: anyone can use the same ones. What nobody can rent is the operational dataset of an industry, the data that only comes from delivering a service, day after day, inside real processes.
That is why the studio's technology hierarchy starts from data: every service is designed to collect, structure and put to work what its own delivery produces. It is the advantage that grows with every customer, while the value of models alone keeps thinning out.
The studio's machine
QuSeed is the proprietary tool Startup Bakery uses to analyse the innovation market and identify high-potential vertical niches. It crosses structured and unstructured data, from industry databases to news and public conversations, to extract relevant signals in target industries. QuSeed is evolving from a scouting tool into a vertical intelligence platform supporting spin-up decisions.
How we choose niches
The experience
Donux, the product design company spun up by Startup Bakery, is an internal resource present across the portfolio's projects. In the context of vertical AI‑native startups, the perimeter of its expertise is evolving: from designing traditional user experiences to AX (Agentic Experience) design, the design of experiences centred on AI agents.
It is a particularly relevant direction for the startups the studio spins up, where the interaction between user and service happens more and more through intelligent agents rather than traditional interfaces.
Donux in the portfolio