AI + engineering services
Which workloads can run on your own hardware
Running AI locally suits some jobs and not others. We look at each workload you have in mind, such as meeting transcription, extraction from scanned forms, search across engineering documents or a coding assistant, and work out what it needs in practice. That means the model's size and the memory to hold it, the memory bandwidth, compute and software stack that affect response speed under load, and how many people will use it at once. It also means checking whether the runtimes and libraries support the chip architecture you are considering. We test candidate models on samples of your own material, including smaller task-specific models that can be cheaper to run. For each workload, you get a written recommendation (local, EU-hosted or an approved cloud service) with the reasons spelled out.
Start with your workflow. We agree the first deliverable, data boundaries, scope and budget before work begins.
What we can deliver
What your team receives.
- Workload list with data sensitivity, volume and concurrent use
- Model tests on your own samples, including smaller task-specific models
- Review of memory capacity, bandwidth and architecture compatibility
- Licence and dependency check for each candidate model and runtime
- Recommendation for each workload, with hardware sizing and running cost
Illustrative project example
Local AI readiness
An engineering firm wants meeting transcription, search across 20 years of project files and a coding assistant, all on its own premises. Suppose tests on its recordings show that a mid-sized speech model transcribes well on one workstation. The coding assistant needs more memory than the proposed machine has for a team that size. In that case the recommendation keeps the first two local and moves the third to an approved EU service.
The final design follows your systems, documents and operating requirements.
Keep your team in control.
Data protection
Map approved data sources, access rules, retention and provider use before connecting AI to company information.
EU infrastructure options
Scope EU servers or self-hosting and disclose the processing location of model APIs, logs and backups.
Human approval
Agree where AI may suggest, where it may act and where a person must approve the next step.
Can we start small?
Yes. Start with one workflow, one team and an agreed outcome. We scope the pilot after learning about your data, systems and constraints.
Can our data stay in the EU?
We can scope EU-hosted or self-hosted options. The proposal identifies where each component processes and stores data, which providers are involved, and any transfer or remote-access implications. EU hosting alone does not establish compliance.
Can we use the tools we already have?
We start with your current workflow and systems. The proposal identifies the integrations, data access and handoffs needed for a useful first deliverable.