Your organisation
Business data Knowledge & IP Systems & tools
Source permissions remain authoritativePrivate AI infrastructure
Your AI runs where your business runs.
Under your control.
UNIT2 designs, supplies and manages dedicated AI hardware on which your models, company knowledge and AI workforce can run locally. Fully isolated from the outside world, connected under control or hybrid—as one flexible, model-agnostic company service.
Choose your data boundary
Local where required. Connected where permitted.
On premises does not automatically mean fully offline. UNIT2 designs the boundary deliberately: from an isolated AI zone with no external calls to a hybrid environment that decides which model may be used for each task.
Deployment Boundary Designer
UNIT2 PRIVATE AI INFRASTRUCTUREUNIT2 AI CoreON-PREMISES
Local AI modelsAgent6 orchestrationPrivate knowledge layerAudit, access & fallback
Dedicated to your organisationOutside world
External traffic blocked
External models, updates and servicesData boundary
Models, data, the knowledge layer, logging and execution remain entirely within your site or secured network zone.
Best fit
Sensitive IP, regulated environments, critical processes and sites that must continue operating autonomously.
Connection
Model and software updates are delivered through a controlled offline release process.
Hardware under your ownership or control Model-agnostic software layer No silent external data flows
One accountable partner
From hardware to model. From data to a controlled process.
A server alone is not an AI solution. UNIT2 combines compute, IT architecture, local models, organisational knowledge and Agent6 into an operational environment with demonstrable control.
01
AI hardware & sizing
Vendor-neutral selection and delivery of GPU compute, memory, storage, networking and redundancy based on real workloads.
02
Local model stack
Installation and management of replaceable open and commercial models for inference, retrieval, evaluation and—where appropriate—fine-tuning.
03
Private knowledge layer
Company data is exposed within existing permissions, with local indexing, source references and controlled retention.
04
Agent6 control layer
Agent6 routes tasks across local or approved external models and enforces authority, human gates, logging and fallback.
05
Secured data boundary
Fully isolated, controlled connection or hybrid—with explicit network paths instead of invisible external data flows.
06
Management & lifecycle
Monitoring, updates, capacity planning, model benchmarks, recovery procedures and transferable documentation for your IT team.
Modular capacity
Start with one workload. Grow into a company-owned AI factory.
We do not design an oversized hardware box. Infrastructure grows with proven use, availability requirements and the number of process layers it serves.
01Private AI Node
One team or first business-critical workload.
A dedicated local AI node for a clearly bounded process, knowledge domain or department. Designed to prove value and hardware demand with real cases.
- Compact start
- Local inference & knowledge
- Expandable without rebuilding
02Company AI Cluster
Shared AI capacity for several process layers.
A scalable company service with isolated workloads, central model management, redundant components and capacity for multiple digital teams.
- Multiple departments
- Workload isolation
- Continuity & scale
03Sovereign AI Zone
Maximum isolation for sensitive or critical operations.
A secured AI zone that can operate without internet, with controlled software and model updates and demonstrable separation from external services.
- Air-gap possible
- Offline update process
- Complete data locality
The business trade-off
On premises is not a belief. It is an operating model.
Owned AI infrastructure is most rational for sustained workloads, sensitive data, low-latency processes or when continuity may not depend on one cloud or model provider. For occasional use, external capacity may remain cheaper. We therefore benchmark first and size second.
Model the economics of your workloadPredictable capacity
Fixed compute for recurring workloads instead of uncontrolled growth in token and API cost.
Data control
Company knowledge, prompts, embeddings, logs and model interactions remain inside the chosen boundary.
Speed & availability
Local processing reduces dependence on internet connections, external rate limits and changing service availability.
Redundancy & leverage
Local models provide operational fallback and reduce dependence on one provider.
Local learning
Retrieval, evaluation and appropriate fine-tuning can use company data without moving the dataset externally.
Transferable design
Configuration, documentation and data remain with the customer; hardware and models can be replaced or expanded.
From need to production
Four decision points. No hardware gamble.
We connect technical choices to real tasks, data classes and availability requirements. You buy capacity that demonstrably fits and can grow later without lock-in.
01
Benchmark
Measure representative models, data flows, response times, context size and concurrent use.
02
Architecture
Design compute, storage, network boundary, redundancy, model mix and management response.
03
Installation
UNIT2 supplies, configures, tests and documents the environment at your site or private data centre.
04
Operation
Monitor capacity, models, updates and incidents—with transfer and training for your IT team.
Your private AI capacity
Make AI infrastructure. Not an external dependency.
Start with a workload and infrastructure assessment. We determine which models should run locally, which hardware they require, how the data boundary should work and when the business case is sound.