We help regulated, high-pressure businesses decide where AI pays back — then engineer, integrate and run it, in the cloud or entirely on your own hardware.
Engage one, or combine them. Each is scoped against a named outcome and handed over with the means to keep it working.
01
Connect modern AI capability to the legacy systems and CI/CD pipelines you already run, without a rebuild or a downtime window.
02
End-to-end delivery of custom models against a named bottleneck — scoped, evaluated and handed over with the monitoring to keep them honest.
03
Conversational agents and generative workflows grounded in your own documentation and APIs, with retrieval you can inspect.
04 High privacy
Air-gapped AI: we design, rack and tune model infrastructure that runs entirely on your own hardware, so nothing leaves the building.
The same system can run in three places. We choose with you, per workload, and design so it can move later.
The quickest way to start. Requests go to a hosted model over private routing, with zero training on your data.
FitsContent that may leave your network under contract
Models run in your own cloud account, behind your identity, network and logging controls.
FitsTeams that need their own keys, logs and region
We design, rack and tune the infrastructure on your premises, air-gapped if required. Nothing leaves the building.
FitsData that cannot leave your control at all
Which of the four each sector draws on, and the AI offering our sector teams run there. Follow a row to see it in the context of that industry.
| Industry | AI Integration | Solution Implementation | ChatBOT & GenAI | Super AI Local System | In this sector |
|---|---|---|---|---|---|
| Banking & Financial Services | Not typical | Used | Used | Used | AI for operations and compliance |
| Healthcare & Life Sciences | Not typical | Used | Used | Used | Private AI for clinical and regulated content |
| Retail & Commerce | Used | Used | Used | Not typical | AI for customers and store teams |
| Logistics & Supply Chain | Used | Used | Used | Not typical | AI for documents and exceptions |
| Manufacturing | Not typical | Used | Used | Used | Plant analytics and quality signals AI on the plant floor |
| Technology & SaaS | Used | Used | Used | Not typical | GenAI features in your product |
| Automotive | Not typical | Used | Used | Used | Vehicle data and predictive maintenance AI for engineering and service |
| Smart City | Not typical | Not typical | Used | Used | Citizen services and AI |
In any sector, AI earns its keep earliest where the work is repetitive and a person can check the answer.
Turn raw business asks into structured, reviewable backlog items with the gaps flagged before a sprint starts.
Generate and prioritise tests, and surface the changes most likely to break before they reach a release.
Answer staff and customer questions from your own documentation, with the source shown next to every answer.
Summarise incidents, route tickets to the right team and draft the first response for a person to approve.
Extract, classify and check documents against policy, with a reviewer in the loop on every exception.
Review assistance and migration tooling wired into the pipeline your engineers already use.
We would rather prove a small thing on your real data than present a large thing on slides. Every engagement follows the same four steps.
Pick one bottleneck worth solving and agree the measure of success before any model is chosen.
A proof of value against one real workstream, on your data, with an evaluation set you keep.
Engineer it into your systems: integration, guardrails, access control and the monitoring that keeps it honest.
Runbooks, evaluation dashboards and enablement so your team owns it, with optional support if you want us to stay.
The same commitments apply to every engagement, whichever model sits underneath.
People approve the decisions that matter, and the system shows its working so they can.
Every model ships with a test set and thresholds, and is checked again as your data changes.
Zero training on your data. Private model routing, or fully on-premises when the data demands it.
Model-agnostic architecture and continuous handover, so you can change provider or run it yourself.
No. AI services are consulting and engineering engagements in their own right. We use our own products to run the work, but there is no obligation to license anything.
Yes. Super AI Local System exists for exactly that: we design, rack and tune model infrastructure on your own hardware, air-gapped if required, so prompts and data never leave your network.
No. Our approach is zero training on your data, with private model routing for hosted models and a fully on-premises option where the data demands it.
We are model-agnostic. We choose between hosted models and open-weight models you can run yourself based on the task, your data constraints and cost — and we design the system so the model can be swapped later.
With a two-week proof of value against one real workstream and a success measure agreed up front. You keep the evaluation set and the findings whatever you decide next.
A proof of value on your own data, against a success measure we agree up front. The evaluation set and the findings are yours whatever you decide next.
What the first call covers
