MLX turns private systems, data, processes and institutional knowledge into a company-owned layer that any model or interface can use.
Most enterprise AI today asks you to put operating knowledge into someone else's model, assistant, or SaaS layer, then hope pricing, access, capability and policy do not move against you.
MLX inverts that. The business layer stays yours: connected systems, AI-ready views, versioned skills, source-of-truth rules, model routes, audit trails and review loops. Models can change; the company's operating knowledge remains portable.
AI should work against approved systems, governed views, and reviewable evidence that stay under customer control — not a vendor's private AI estate.
The company's workflows, exceptions, source-of-truth rules, and reviewed corrections should live in a portable operating layer, not inside one model provider.
Claude, OpenAI, open-weight, and self-hosted models should be routing choices. Switching providers should not mean rebuilding how the business works.
Mercury Labs engineers embed with the team to wire up data, map the first workflow, author skills, and make the owned layer useful from the start.
MLX is built by Mercury Labs, a London-based AI engineering studio in Eccleston Yards that designs and deploys practical AI for businesses.
Our data scientists and full-stack engineers have spent years building AI products across fintech, healthcare, manufacturing and market intelligence — for organisations including PrimaryBid, Augmentive, MTC, HVM Catapult and Forestreet. As an approved Crown Commercial Service supplier, we've worked directly with UK Government, Innovate UK and other public-sector bodies to deliver AI at scale in regulated contexts.
Start with a real workflow, the systems behind it and the operating knowledge around it. MLX turns that into the first piece of your company-owned AI layer.
Get in touch
team@mercurylabs.io
Studio
Mercury Labs · London
Deploy
Cloud · VPC · On-prem