Services
AI on your own servers
For companies that cannot send data to external AI services. We deploy language models, answers from internal documents, speech tools and the Kubernetes and database infrastructure they use. Models and data run on your own servers, including networks without internet access.
Discuss your projectWho it is for
- You cannot send data to external AI services and need models to run within your network.
- Staff need search and answers from internal documents and data.
- Models and infrastructure must run in a closed network.
When it is not a fit
- You only need a website or staff workspace, without model deployment: see Business software.
- You want to expand an assistant before checking it on an agreed task with a team.
Deliverables
We propose the architecture, a work plan, a cost estimate and a schedule, and agree the scope before work starts.
- AI models on your network: Language models, speech recognition and synthesis, voice assistants, image and video generation, answers from internal documents. An OpenAI-compatible API that works without internet access.
- Kubernetes platform: A fault-tolerant cluster on your servers with GitOps deployments.
- CI/CD and DevOps: Automated builds and releases, private image and package registries, infrastructure as code.
- Databases and messaging: Deployed and replicated databases, backups and data loading from other systems.
- Security and access: Secret storage, single sign-on for staff, digital signature sign-in, work in closed networks.
- Monitoring and operations: Metrics, logs, alerts, incident reviews, monthly reports and load testing.
- We hand over documentation and train your staff. Ongoing support is agreed separately: what you need and what it costs.
Starting budgets
We start with a paid discovery and prototype under a separate contract. After it, you decide whether to continue.
What affects the cost
- The agreed AI functions: document answers, speech tools or image generation.
- Connections to documents, tasks, databases and other systems.
- Your servers, GPU configuration and closed-network requirements.
- Access, monitoring and separately agreed ongoing support.
Related work
Each case explains our specialists’ contribution and the team they worked within.
Questions and answers
- Can it run without internet access?
- Yes. We can deploy models and infrastructure in networks without internet access.
- Can an assistant answer from our documents?
- We connect a model to your documents, tasks and databases and set up the assistant for each role — analyst, support, development. Each answer shows where every fact came from; access follows roles and actions are logged.
- Which AI tools can you deploy?
- Language models, speech recognition and synthesis, voice assistants, image and video generation, answers from internal documents. An OpenAI-compatible API that works without internet access.
- How do we start?
- We start with one task and one team, measure together whether it helps, and only then expand.
- How are scope, cost and support agreed?
- We propose the architecture, a work plan, a cost estimate and a schedule, and agree the scope before work starts. We hand over documentation and train your staff. Ongoing support is agreed separately: what you need and what it costs.
- Do you sign an NDA?
- We sign an NDA if the client requires it.