We turn public signals into a private read on intent
Veridex indexes structural change across the UK AI market, scoring each event for the probability it precedes a senior AI or machine-learning hire.
explore the signal model →Six classes of structural signal
Each is drawn from public record and re-scored. Together they form the earliest legible evidence that an AI team is being built, or about to lose the person holding it together.
Director appointments
New board and executive registrations filed at Companies House (Chief AI Officer, VP Engineering, Head of Research).
Funding events
Capital raises and share issuances that can precede an AI and machine-learning engineering build-out.
Research output
Preprints, conference papers and co-authorship graphs that reveal who is genuinely building a capability, not just describing one.
Open-source activity
Commit history, model and framework releases: the clearest public read on real capability, and on quiet attrition risk.
Compute commitments
Infrastructure and cloud procurement disclosures that anticipate a platform, MLOps or inference team before any role is written.
Network latency
Temporal gaps in team expansion that can point to an imminent leadership void.
One score for the probability of an AI hire
The Intent Index is designed to combine multiple signals against an organisation into a single, calibrated probability. Signals above a confidence threshold are prioritised for review by our research desk.
Intelligence, designed to arrive three ways
Signal alerts
A notification designed to fire when a tracked organisation crosses your intent threshold, reaching a secure channel with the underlying evidence attached.
Intent dossiers
A structured read on the target organisation: the signals in play, the roles likely to move, and the calibrated probability behind each.
Engagement protocol
Where a signal matures, the desk is designed to run a zero-footprint approach on your behalf: discreet, off-platform, and on the candidate’s terms.