how we build
Four things we never trade off.
AI, usability, sovereignty and performance carry the same weight in every decision. The overlap is where we work.
-
AI built in
From training models to wiring them into the product, under the same rules for security, cost and quality.
- custom models: training, fine-tuning, evaluation
- LLM integration: retrieval, agents, tool use
- ML pipelines in production, monitored like any other service
- your data stays yours, with private and in-region hosting
-
Easy to use
If people have to think about the interface, we are not done.
- research with real users
- accessible by default
- fast, consistent interfaces
- design systems that keep it coherent as it grows
-
Sovereign and secure
Your data stays where you decide, under rules you control.
- hosting in the region you choose, or on your own infrastructure
- privacy by design: GDPR and local data laws from day one
- encryption, least-privilege access, audit trails
- no lock-in: your code, your accounts, your keys
-
Scalable and fast
Built for real traffic from the first release.
- event-driven, horizontally scalable architecture
- performance budgets and load testing
- observability from the first deploy
- cloud cost tracked as closely as latency
the team
Six competences. One team.
No CVs, no faces: just what each of us brings. Between us, we have built and run SaaS platforms at serious scale. The same six people lead every engagement, on the stack you already have.
across the platforms we have built and run
- 100+ AI models customized or integrated
- interfaces used every day by teams at global brands
- data managed across regions: EU, US and beyond
- 20+ stacks made compliant and security-certified
- billions of events a day
- terabytes of new data daily
- 99.99% availability
- user-facing queries over 10 TB
-
01
Chief architect
Sets the technical direction and owns the architecture, from first call to production.
-
02
Product owner
Keeps the team building the right thing, in the right order.
-
03
UX designer
Makes the product obvious to use, then makes it look the part.
-
04
Data engineer
Builds real-time data platforms that customers query directly.
-
05
Software engineer
Builds the services, APIs and data flows behind the product.
-
06
Platform engineer
Builds the ground everything runs on, on whichever cloud you already use.
Each competence is drawn from the same three shapes. The team is where they overlap.
capacity
A fixed core. Flexible capacity.
The six of us stay on every project. When a project calls for more, we build out around that core.
- 6
- core specialists who lead every engagement
- 30+
- people on the project when the scope needs it
- 1 month
- to get from core team to full size