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AI Job Matching

AI matching you can actually explain — and audit.

Every match score comes with a plain-English breakdown. Your hiring manager sees the math. Your candidate sees the reasoning. The AI just speeds it up.

Explainable Bias-audited Human-in-the-loop EU AI Act-aligned
Outcomes

Matches that turn into hires — and stay

Performance measured over the last twelve months across UK customers.

0×
Higher 12-month retention
0
Faster time-to-shortlist
0
Scores come with reasons
0
Black-box decisions
Why our AI

AI built for hiring — not generic recommendation

Calibrated on UK roles, regulated industries, and what actually predicts retention beyond month 6.

Explainable by design

Every score breaks down by skills, experience, industry, location and availability. No black box.

Bias-audited quarterly

Independent quarterly audits across protected characteristics. Public results, not marketing claims.

You weight it

Tune which signals matter most. The AI proposes; your hiring team disposes.

Learns from outcomes

Scoring is calibrated on real placement outcomes, not just CV-keyword overlap.

How the AI works

Four steps from role to ranked shortlist

No magic. No surveillance. Just five signals, transparently weighted.

01

Define the role

You provide must-haves, nice-to-haves, location and budget. The AI picks up the rest from context.

02

Match the pool

Verified candidate profiles scored across five transparent signals — instantly.

03

Explain & rank

Top candidates ranked with a per-signal breakdown and a plain-English summary.

04

Learn & refine

Outcomes (interview success, retention) feed back to recalibrate signal weighting.

Inside the model

Six capabilities that make this useful

The features your hiring manager will notice on Monday morning.

Skills graph

Adjacent-skills mapping — finds candidates whose skills imply the ones you asked for.

Trajectory analysis

Career velocity scoring — is this person ready for the step you're hiring for?

Culture-fit signals

Optional, opt-in signals based on values match — never on protected characteristics.

Plain-English reasons

Every shortlist explained in a sentence your hiring manager can quote to the panel.

Confidence flags

Low-confidence scores are flagged for human review — no silent guesses.

Audit trail

Every decision, every weighting change, every override — logged for compliance.

Responsible AI

Three commitments we won't budge on

Hiring is high-stakes. Our AI policy is conservative on purpose.

Transparency

Every score is explainable, every override is logged, and every candidate can request the reasons in plain English.

Fairness

Quarterly independent bias audits across UK protected characteristics. Results published with the model card.

Human in the loop

The AI never makes hiring decisions. It ranks, explains, and surfaces. Humans always decide.

How accurate is the matching?
Higher-than-92% scores convert to hire 3.1× more often than lower scores in our UK dataset. We publish full performance metrics on request.
Is the AI biased?
All AI carries some bias. Ours is audited quarterly by an independent third party across UK protected characteristics. Results are published with our model card and corrective actions are documented.
Does the AI make the hiring decision?
No — never. It ranks and explains. Every hiring decision is made by a human, with the AI's reasoning available as supporting evidence.
Is it EU AI Act compliant?
We've built around EU AI Act obligations for high-risk employment AI: documented purpose, risk assessment, bias monitoring, human oversight, and candidate transparency rights.
What about candidate rights?
Candidates can request the reasons for their score, contest a decision, and have a human review any outcome. All standard under UK GDPR Article 22 and our internal policy.
AI you can defend

Faster shortlists. Better retention. Zero black boxes.

Book a 20-minute demo on a real role. We'll show you the math, the bias audit, and the override flow.