Yes – you can start small and scale when needed. Our platforms SMALL, MEDIUM and LARGE are designed as modular building blocks.
Our products
- SMALL – Affordable entry, ideal for small teams (e.g. 2–5 people)
- MEDIUM – Best value for mid-size teams (e.g. 6–15 people)
- LARGE – Maximum performance for large teams and intensive workloads (e.g. 14+ people)
Each platform can be run standalone or combined with others – without changing your applications.
Kubernetes: scaling without effort
Our Kubernetes-based solution enables:
- Add multiple platforms – SMALL, MEDIUM and LARGE can be combined easily
- Build your own server solutions – add further nodes as needed
- Load balancing – load is distributed automatically
- Central management – control all platforms via one interface
The architecture is modular: you start with one platform and add more as you grow – without data migration or changes to your integration.
Scaling scenarios
Example 1: Start with SMALL for a pilot project → later +1× MEDIUM for the full team
Example 2: Two departments with different needs → 1× SMALL + 1× LARGE, together in the Kubernetes cluster
Example 3: Engineering team with high token usage → directly LARGE or multiple MEDIUM
Next steps
- SMALL · MEDIUM · LARGE – Choose platform and order
- Contact us – Discuss individual scaling strategy
Sources and further information:
- How much does it cost to run AI yourself? – Costs and scenarios
- On-Premise AI for SMEs – Hardware recommendations