Artificial intelligence
Private AI infrastructure
There are two reasons companies move AI in house. The data cannot leave, or the monthly token bill has quietly become a salary. Desktop class AI machines now run capable open models in a corner of your server room, and the arithmetic changed with them.
Who this is for
- Hospitals, banks, law firms and public bodies where patient or client data cannot leave the premises
- Companies with steady, predictable AI volume whose API invoice keeps climbing
- Teams under data residency rules that a public endpoint cannot satisfy
- Anyone who wants to fine tune on their own material without shipping it to a vendor
What we actually do
- Sizing first, based on the models you actually intend to run and the number of people using them
- Hardware two ways. We supply and configure a DGX Spark class desktop system or a rack build, or you procure a comparable system from the market and we take over everything above the metal
- Model selection and quantisation, so an open model fits the memory you have without falling apart
- Inference serving, batching and monitoring, tuned for concurrent users rather than one demo
- Retrieval over your own documents, with permissions carried through so people only see what they should
- Access control, request logging, backup and a recovery plan, because this becomes production the day it works
- Ongoing support: model updates, capacity reviews and patching, under the same managed contract as the rest of your estate
How an engagement runs
A short assessment that ends in a written comparison: the hardware and running cost against your current or projected API spend, with a payback period. Sometimes the honest answer is that a public API is still cheaper for your volume, and we say so. When it is not, we quote the build, install it and hand it over running.
Related
Often paired with
Document processing
Messy documents in, clean structured data out, in the languages your paperwork is written in.
IT security services
Audits, hardening and monitoring, in plain language you can act on.
Managed IT services
One team watching your servers, network and helpdesk so your people stop firefighting.