Open models deployed in your own cloud, on-premise or fully air-gapped, so critical and sensitive data never leaves your environment.
Company knowledge and drafting with no external calls.
Works with the network cable unplugged.
Models trained or tuned on your data, kept by you.
Private by default, partnered cloud only for approved tasks.
Private and local first for critical and sensitive data. Partnered cloud models only when a task needs them, behind a policy gate, with audit logs and monitoring you can see.
What we use for model training & private AI, and what each piece is for.
A working AI product in your users' hands in seven days, built on our proven components.
No-obligation free MVP for startups. Scope agreed in the free consultation; you keep it either way.
Built your app with AI coding tools but it isn't secure or won't scale? We review it free and fix the critical security and scaling issues free.
General-purpose, strong for private use
Efficient for high volume
Multilingual and small-footprint options
High-throughput production inference
Lightweight serving on modest hardware
Enterprise inference servers
NVIDIA workstation or server, sized to workload
For multi-model, multi-team clusters
No external network, updates by controlled media
RAG entirely on-premise
Prometheus, Grafana and logs in your network
Encryption, access control, audit
Typical phases and timelines; your plan is agreed after the free consultation.
Tasks, users and latency needs
1 weekWhat to buy or rent, with cost
1 weekModels installed and tested on your tasks
2–4 weeksUpdates, monitoring and new models
OngoingFrom products we built and run, and engagements we measured.
An on-site AI-ready appliance runs private LLMs; data never goes to cloud AI and the plant keeps working offline.
A Private AI Box keeps privileged matters air-gapped, with PII masked before any model sees it.
Self-hosted governance with 100% tenant isolation and no third-party proxy.
The technical detail, for your engineers.
Open models (Llama, Mistral, Qwen and others) quantised to fit your hardware; embedding and reranking models run locally too.
Sized per workload, from a single GPU appliance to a small cluster; we specify it before you buy.
Production inference servers with batching, monitoring and updates delivered by us.
Fine-tuning or continued training on your data inside your environment; weights stay yours.
For most business tasks, current open models are close; we test on your tasks and tell you where they aren't.
Anything from one GPU appliance to a cluster; we size it before you buy.
Yes. Air-gapped deployments run with no internet at all.
We can, under a support plan, or train your team.
Typically two to five weeks from sizing to a tested system.
Yes. Sensitive work stays private; approved tasks can use partnered cloud models.
A one-off hardware cost plus support, often cheaper than cloud at steady volume; we model both.
Yes. Fine-tuning or training happens inside your environment and the weights stay yours.
No. We use private models or enterprise agreements that forbid training on your data.
Book the free two-hour consultation. We look at one real workflow and tell you whether this technology fits.
Yes. Engagements we take on carry our 10× productivity guarantee on the agreed workflow, or the fee comes back.
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assets/img/projects/agnidoot.pngOdoo ERP built from your documents, with private AI inside
15 days to go live
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assets/img/projects/lexedge.pngOne AI workspace for legal drafting, research and citation checks
240+ practices using it
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assets/img/projects/neuralgate.pngObservability, governance and security for every LLM request
4.8M+ requests interceptedTwo free hours on a real workflow. We'll tell you whether it fits, and what it would take.
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