Local AI.
Real-world support.
From a first workstation to an on-prem plan, we help teams reason through the practical details of running AI on their own hardware.
Setup & hardening
Choose a suitable runtime, establish safe defaults and document the boundaries of your local AI environment.
On-prem deployment
Plan private inference around your network, hardware, access policies and operational responsibilities.
Model evaluation
Compare candidate models against your real tasks, licence requirements and data-handling constraints.
Training for teams
Help your people understand local AI, review model output and build repeatable, responsible workflows.
Start with the work.
Design around the constraints.
Map the use case.
Discuss the tasks, data sensitivity, team skills and hardware already available. Establish what a useful outcome looks like.
Test the assumptions.
Agree an evaluation approach, review model terms and identify the operational or security work needed before deployment.
Make ownership practical.
Define configuration, documentation and training needs so your team can operate the environment with clear responsibilities.
Bring a question.
Leave with a starting point.
Email your use case, current hardware and deployment constraints. Please avoid sending confidential data in an initial enquiry.
Discuss your projectAbout this preview
Services are presented as areas of planned work. No service is purchased, booked or provisioned here. Scope, availability and terms would be agreed directly before any engagement.
No automated assessment or data upload is available.