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CASE STUDY
LHI Global
Transforming fragmented CRM data into a unified AI intelligence layer across an international staffing network
Challenge
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The Challenge & Quake's Response
LHI is an international specialist staffing group with operations across the UK, Europe and APAC. A decade of growth had created fragmented CRM data across multiple systems — blocking any consistent AI capability.
The Friction
Years of organic growth left LHI with candidate data spread across disconnected CRM instances, manual tagging conventions and inconsistent schema — making AI deployment technically impossible without a full rebuild.
Quake's Answer
Quake deployed its headless data layer on top of LHI's existing systems — normalising, vectorising and indexing the entire candidate estate with no data migration, unlocking AI matching, automated reporting and workflow automation from day one.
Quake Core
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Headless Infrastructure
Quake Core: The Headless Data Layer
We run the ultra-fast data engine. You build the interface. You keep your system of record.
Wrap, don't migrate
Point Quake at your existing database and run agents on it tomorrow — no rip-and-replace.
Zero vendor lock-in
Vendor-neutral by design. One API talks to Bullhorn, OpenAI and the rest at once.
Built for AI workers
Sub-second reads and writes, so agents act on your data instead of just storing it.
Platform
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One Governed API. The Entire Recruitment Stack.
Every record and every AI agent is addressable through a single, governed API — the control plane enterprises deploy AI into.
One surface, not a hundred integrations
Build once against Quake instead of stitching together brittle point-to-point connections to every tool in the stack.
Governed for enterprise
OAuth 2.0, 75 granular permission scopes and tenant isolation — the controls regulated buyers require before deploying AI.
The whole recruitment model
Candidates, jobs, placements, agents and more — the entire stack runs through one addressable graph.
