See our delivery process
How we structure projects from discovery to operational handover.
TAPE Nº 01“AI Software Development”SP · Super AI Labs · Zürich
AI software development for Swiss organizations that need more than a demo.
Most organizations do not need a disconnected AI prototype. They need a working product, service, or internal platform that fits their architecture, data landscape, and operating model.
Super AI Labs combines full-stack product delivery with AI-native engineering so teams can move from requirements and architecture to implementation, testing, rollout, and operational handover.
Practical outputs, not generic AI strategy
- 01
Discovery, target architecture, scope definition, and technical planning.
- 02
Full-stack implementation across frontend, backend, integrations, and infrastructure.
- 03
AI feature delivery including model orchestration, retrieval, and workflow automation where relevant.
- 04
Testing, deployment setup, observability, documentation, and handover for internal teams.
Who this service is for
- 01
Organizations launching new digital services that include AI-assisted workflows, copilots, or automation features.
- 02
Internal platform teams modernizing legacy processes and needing web applications, APIs, data services, and secure integrations.
- 03
Swiss public-sector tenders (simap.ch) and regulated delivery contexts — think nFADP, FINMA, or GxP — where documentation, governance, and supportability matter as much as feature velocity.
Designed for reliability, grounding, and operational handover
The exact stack depends on the problem, but these are the design principles we usually optimize for.
Clear domain boundaries
Modern web applications and internal tools built with clear domain boundaries and maintainable frontend/backend separation.
Secure by design
Secure APIs, data pipelines, authentication layers, and enterprise integrations designed around real operational constraints.
AI where it earns its place
AI capabilities added where they create measurable value, not as a layer of unnecessary complexity.
Engineering pedigree
ETH Zürich and EPFL-trained founders with delivery experience across consulting, startups, banking, and AI systems.
Product-minded delivery
A product-minded approach that keeps architecture, user value, and operational handover connected from the start.
Built for regulated environments
Comfort operating in environments where quality, transparency, and reliability are non-negotiable.
Questions we hear early in the conversation
These are the kinds of questions that usually matter before a team commits to scope, architecture, and rollout.
- Do you deliver the full product or just advise?
- We do both. Many clients bring us in for architecture and planning first, then keep us involved through implementation, rollout, and handover.
- Can you work within procurement, compliance, or security requirements?
- Yes. Our positioning is strongest in high-accountability environments where delivery structure, documentation, and technical rigor are part of the work.
- What kinds of software do you build?
- We build web platforms, internal tools, data services, and AI-enabled workflows, especially where multiple systems need to work together in production.
Case studies, articles, and next steps
If this is close to what your team needs, these pages are the best next places to look.
Enterprise full-stack delivery case study
A representative example of shipping modern software with AI-native delivery practices.
From tender requirements to production architecture
How we turned Swiss RfP requirements into delivered Google Cloud architecture, linked to CHF 100k in deal value.