Who it’s for
Organisations whose AI ambition goes beyond an assistant: a product for their users, a platform for their sector, or an internal application no off-the-shelf system covers. Typical trigger: a validated use case (often from a feasibility study) needs to become real software, or an existing “AI pilot” needs to be industrialised.
The problem
“Off-the-shelf AI systems don’t fit our case — our data, our languages, our users, our rules. Software agencies can build apps but haven’t shipped AI; AI consultancies make prototypes that never survive production. We need both in one team.”
What we deliver
- A production application, not a demo: authentication, user and access management, billing if needed, monitoring, LLM observability, and documented operations.
- AI architecture that lasts: multi-model routing, connection to your data through open standards, systematic source citation where answers must be verifiable.
- Multilingual by design (FR/DE/IT/EN) when your users need it.
- Hosting per your constraints — Swiss cloud, on-premise, hybrid — with a reversibility clause: code, data, and configuration stay yours.
- Run & evolve: we operate the platform with you, or hand it over cleanly to your team.
How it works
- Product scoping: users, use cases, success criteria, constraints.
- Architecture and design; validation of the riskiest assumption first.
- Iterative build with a usable version early — you steer priorities as it grows.
- Production launch: security review, load readiness, operations documentation.
- Run: continuous improvement, model evaluations before every promotion, quarterly roadmap.
Engagement
Scoped case by case: our clients range from local SMEs to Fortune 500 groups, and the same service scales accordingly. We quote after a first scoping conversation — a fixed price list would not be honest at that range. Where risk is high, we start with a bounded pilot.
Partnering with Digilac
- We build and operate our own AI products: Swiss Open Data and OpenMethod. Every hard lesson is already learned on our own products.
- Full-stack seniority: 20+ years of enterprise IT, DevOps, and CI/CD behind the AI layer — production discipline, not prototype culture.
- Independent orchestration: your platform survives model and vendor changes by design.