Enterprise AI that never leaves your building.
We deploy open-source language models on your own hardware or private cloud — sized, quantized, fine-tuned on your data and handed over with full documentation. No per-token fees. No data leaving your perimeter.
Zero external API calls - hardware and weights owned by you
Cloud AI is convenient. It is not always allowed.
Regulated data, client privilege, trade secrets and sovereignty rules stop many organisations from sending prompts to third-party APIs. Open-weight models now match cloud quality on most enterprise tasks — the missing piece is an engineering partner to deploy them properly.
Public cloud AI Exposure
- Every prompt and document crosses your boundary
- Per-token fees grow with every successful rollout
- Vendor price changes and deprecations are your risk
- Compliance must defend an external processing relationship
2oo.one private AI Contained
- Inference, retrieval and weights stay on your hardware
- Fixed infrastructure cost - usage growth is free
- You own the stack; no provider can switch it off
- Audit logs land in your SIEM, not a vendor dashboard
Data stays inside
Prompts, documents and model weights never cross your network boundary. Optional full air-gap for classified or high-sensitivity environments.
Fixed, predictable cost
Above a few million tokens a day, self-hosting typically beats API pricing. Hardware is a one-time cost you depreciate — not a per-seat subscription.
No vendor lock-in
You own the stack. A provider price change, outage or product shutdown cannot take your AI capability offline.
One partner from hardware sizing to handover
On-premise AI deployment
GPU sizing, model selection, inference serving, SSO, metering and quota controls — installed in your data centre or server room.
Explore the serviceLLM fine-tuning
LoRA, QLoRA and full fine-tunes on your proprietary data, evaluated against your real tasks before anything ships.
Explore the serviceAir-gapped AI
Fully disconnected deployments for defence, government and IP-critical R&D, including offline model update procedures.
Explore the serviceCloud-to-on-prem migration
Move workloads off OpenAI, Anthropic or Azure endpoints onto self-hosted models with API-compatible drop-in replacements.
Explore the serviceManaged private AI
Monitoring, model refreshes, security patching and capacity planning after go-live — your AI stack, our pager.
Explore the service20+ proven use cases
Unified search, support agents, document intelligence, email and call triage, surveillance analytics and more — with the model types behind each.
Browse use casesA deployment process built for auditors as much as engineers
Assess
Workload analysis, data classification, compliance constraints and a hardware sizing report with transparent cost modelling.
Pilot
A working proof of concept on representative data — quantized open models served on rented or existing hardware, measured against your acceptance criteria.
Deploy
Production installation: inference servers, gateway, access control, logging and integration with your identity provider and internal tools.
Tune
Fine-tuning and retrieval pipelines built on your documents, with evaluation suites you can re-run after every model update.
Hand over or manage
Full documentation and training for your team — or a managed service agreement if you would rather we keep operating it.
From bare metal to serving in one pipeline
Our provisioning tooling takes a GPU node from empty to a governed, OpenAI-compatible endpoint — model pull, quantization, serving, gateway, SSO and metering — reproducibly, and documented so your team can re-run it without us.
Enterprise controls, built in from day one
A model server alone is not a deployment. Every system we ship includes the governance layer your IT and finance teams will ask about in week one.
Single sign-on
SAML and OIDC integration with Entra ID, Okta, Keycloak or your existing identity provider — role-based access mapped to your directory groups.
Usage metering & chargeback
Per-user, per-team and per-application token metering with exportable reports, so departments can be billed internally and ROI is measurable.
Quota & budget management
Hard and soft limits per key, team or project; rate limiting, priority tiers and alerts before anyone exhausts shared capacity.
Advanced retrieval: RAG & GraphRAG
Vector search (Qdrant, Milvus, pgvector) plus knowledge-graph retrieval for questions that span entities and relationships across your documents.
Observability & evaluation
Tracing, latency and quality dashboards with self-hosted tooling, and evaluation suites you can re-run after every model or prompt change.
Audit & guardrails
Complete prompt/response audit logs to your SIEM, PII redaction filters and policy-based routing for sensitive content.
Compliance is the architecture, not a checkbox
Frameworks are easiest to satisfy when the data simply never leaves. We design every deployment so your auditors review controls you own — and we deliver the architecture, data-flow and control documentation their reviews require. We support your certification programme; certifications themselves remain yours to hold.
Built for organisations that cannot use public AI
Healthcare
Clinical documentation and PHI-safe assistants aligned with HIPAA.
Legal
Document review and research without breaking client privilege.
Financial services
Analysis and automation inside your regulatory perimeter.
Government & defence
Air-gapped and sovereignty-compliant deployments.
Insurance & actuarial
Claims, underwriting and actuarial document automation.
Banking, identity & fraud
KYC document intelligence and fraud-investigation support.
Customer experience
Support deflection, agent assist and QA at fixed cost.
All industries
See every sector we deploy for, with compliance notes.