Build AI around how your business actually works.
MLX constructs a governed Twin from the systems you already run. Your team shapes and approves it before approved AI tools rely on it.
Keep business context independent of any one model.
AI providers keep changing. Your definitions, rules, processes and measures should not have to be rebuilt each time they do.
MLX constructs that context in a governed Twin. Your systems remain authoritative, your people approve what becomes trusted, and configured models can change without starting again.
What we believe.
- 01
Source systems stay authoritative
MLX constructs the Twin from approved evidence without creating another disconnected source of truth.
- 02
Your team governs the context
Your people review what MLX derives and decide what becomes approved business knowledge for AI to use.
- 03
Change models without rebuilding
Choose from the approved models configured for your deployment while the reviewed business context stays stable.
- 04
Forward-deployed engineers
Mercury Labs engineers work alongside your team to connect systems, shape the first Twin and make it useful from the start.
Built by Mercury Labs.
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.
Build the Twin your AI can rely on.
Connect priority systems, review what MLX constructs and put the first approved business context to work in a focused two-week activation.
Get in touch
team@mercurylabs.io
Studio
Mercury Labs · London
Deploy
Managed targets