AI that runswhere you do.
Everything it takes to run AI models inside your organisation — designed, deployed, and kept running by one team.
On-premises AI server deployment
We size, set up, and tune GPU servers in your data centre or office, and deploy open-weight models on them — chat, coding, embeddings, vision, and speech.
- Hardware sizing and procurement advice for your users and workloads
- Model selection and benchmarking on your own tasks
- High-throughput serving, tuned for response speed and cost per request
- Air-gapped deployments for environments with no internet access
AI gateway with vendor-style APIs
A single gateway in front of every model you run. It exposes an OpenAI-compatible API, so existing apps, SDKs, and tools work without rewrites.
- API keys per team, app, or customer
- Rate limits, quotas, and budgets
- Request logs and usage reports by user and team
- Routing across local models — and to cloud vendors when you allow it
Chat dashboard for employees and customers
A ready-to-use AI workspace, similar to Claude or ChatGPT, branded for your organisation. Staff sign in with the accounts they already have; customers can be given their own access.
- Single sign-on with your existing identity provider
- Projects, shared prompts, and file uploads
- Roles and permissions by team
- Developer console for keys and usage
Cloud architecture for AI models
When the cloud fits better, we design and deploy the same platform in your own cloud account or VPC — with autoscaling GPU capacity, private networking, and cost controls. Hybrid setups that combine on-premises servers with cloud capacity are supported too.
Search and answers over your documents
Connect the platform to your knowledge — drives, wikis, tickets, databases — so the AI answers from your own documents and shows its sources. Access follows your existing permissions.
Fine-tuning and custom models
When a general model isn't enough, we adapt open-weight models to your domain, tone, and formats using your data — trained and served on your infrastructure.
Security, monitoring, and managed operations
After launch we can run the platform for you: monitoring, model updates, security patches, capacity planning, and support for your teams. Data stays inside your environment, access is logged, and every permission is documented.
Pricing
Deployments are quoted as a fixed-price project, scoped to your users, models, and environment. Ongoing managed operations are a fixed monthly fee. We quote after a short scoping call, and the price doesn't move once it's agreed.
Tell us what you want AI to do.
Book a 30-minute call — a deployment plan and a fixed quote follow.