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Basic applicant details: name, email, phone. No obvious issues — but also no context. No intent signal. No behavioral layer.

Heka analyzes 30+ real-time web signals — reputation, address discrepancies, behavioral anomalies, alias cycling, and more.

Signals are correlated, risk tags are generated, and a trust score is assigned — with full transparency.

A decision‑ready fraud risk score (0–100), built from 20+ verified fraud signals that reflect the true risk level of a digital persona.

We return only what you need — clear, evidence-based results, with links to source.











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The Observer (tag the observer account) published a piece back in March on the dire state of member data in the Teachers’ Pension Scheme- an all-too-familiar issue across the UK pensions landscape. I submitted a letter in response. It wasn’t published, but the point still stands- and is arguably more urgent now than ever. So I’m sharing it here.
The technology exists. The tools exist. What’s missing is the urgency.
It’s 2025- accurate data should be the baseline, not the exception.

Read the original article on the Guardian.