On-premise and hybrid AI

Private AI for teams that need tighter control over data and access

We design local and hybrid AI environments for company knowledge, document workflows and assistants where data control, access and infrastructure matter.

Discuss your project See starting ranges

01architecture based on data sensitivity and operational requirements

02local, cloud or hybrid deployment chosen from evidence rather than fashion

03roles, auditability, evaluation and a documented maintenance model

Best fit

When this service is the right starting point.

The first scope should match the real bottleneck, available evidence and the level of responsibility the implementation carries.

teams working with confidential internal knowledge or regulated documents

companies that need stronger control over retention, access and infrastructure

use cases that must keep working with predictable cost or limited connectivity

organisations comparing local models with a controlled cloud or hybrid option

Scope

A complete first stage, with clear boundaries.

Advanced integrations, migrations, unusual infrastructure and business-critical responsibility are scoped after discovery rather than hidden inside a generic package.

Data and threat assessment

Classify sources, users, retention, access, acceptable providers and the consequences of incorrect output.

Architecture and capacity plan

Compare local, hybrid and cloud options across quality, hardware, latency, cost and maintenance.

Private knowledge workflow

Implement ingestion, retrieval, roles, citations and evaluation for the agreed document set.

Operations and handover

Document updates, monitoring, backups, model changes, access reviews and the support responsibility.

Delivery

Decisions made in the order that reduces risk.

Each stage produces something the team can review before the project takes on more cost or responsibility.

Classify the requirement

Separate legal or security constraints from preferences that can be solved through configuration.

Benchmark options

Test representative workloads on feasible models and infrastructure before committing to hardware.

Pilot privately

Connect a limited knowledge set and user group with roles, logging and measurable answer quality.

Operationalise

Define maintenance, updates, incident handling and the economics of running the chosen architecture.

Business outcomes

What the implementation should improve.

These are intended outcomes, not invented performance claims. The baseline and success measures are agreed for the specific project.

clear control over where data is processed and who can access it

a realistic infrastructure decision supported by workload tests

private company knowledge with citations and role-aware retrieval

a maintenance model that includes models, sources, hardware and security

Relevant evidence

Proof and deeper context.

We link only work and solution pages that are relevant to this service and label their status honestly.

Private RAG scope

Our RAG solution page explains sources, roles, evaluation and operational boundaries.

Open

AI implementation

Start from the workflow and evaluation before choosing the deployment model.

Open

FAQ

Questions before the first scope.

Direct answers about responsibility, feasibility and the way we start.

Does private AI always mean buying a GPU server?

No. The right choice may be local, cloud or hybrid. We benchmark the real workload and security requirements before recommending hardware.

Can the system work without sending documents to a public AI service?

Yes, if the selected local model and infrastructure meet the required quality. The trade-off is greater responsibility for hardware, updates and operations.

Is a local model automatically more secure?

No. Security also depends on access control, network design, source permissions, logs, backups, patching and operational discipline.

Can we start with a small pilot?

Yes. A limited document set, user group and evaluation suite are the safest way to compare quality, cost and operational effort.

Related services

Connect the next layer only when the project needs it.

All services

Website strategy, UX/UI and development

Start with the problem, context and constraints.

We will help identify the smallest sensible first stage and tell you directly when the idea needs a different approach or more evidence.

Describe your project