Internal procedure lookup
Staff ask; AI answers from company documents and shows the source.
KEVIQLABS / TECHNOLOGY & PEOPLE
AI assists and suggests from the business’s own knowledge, with sources the team can check.
YOUR CHALLENGE
Illustrative examples. Actual scope is defined with each business.
Staff ask; AI answers from company documents and shows the source.
Pull figures from the tools you already use into a draft for the owner to review.
Read incoming email and messages, suggest who should handle them and draft a reply.
THE TECHNOLOGY WE BUILD
Explore two central technology directions at KeviqLabs: knowledge and the foundations for running AI.
FLAGSHIP PROJECT / 01

A research direction for AI that works with knowledge of clear provenance — knowing which document an answer came from.
Connect knowledge, evidence and provenance so context can be put to work.
Connect instructions and the origin of information with the context of the work at hand.
Concept illustration · Select a component to explore
FLAGSHIP PROJECT / 02

A research direction for running AI across different hardware, including infrastructure the business controls.
Explore how applications, models and compute resources connect through an AI inference runtime.
CPU: a starting point for examining how a workload uses general-purpose compute.
Concept illustration · Select a component to explore
HOW WE START
You describe the work, the tools in use and what you want to improve.
Together we look at the data, the systems involved and what to try first.
Agree how results will be checked in your real environment.
Clear ownership, and a way to stop and revoke access when needed.
How we work together and the scope are agreed case by case.
STAYING IN CONTROL
Access scope is defined for each deployment.
AI assists and suggests; important actions need approval from an authorised person.
The source records and permissions of your existing systems stay in place.
START WITH A REAL PROBLEM