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Platform architecture

Five architectural decisions. One API.

Primary-source data, encrypted matching, success-only billing, sub-200ms response, pre-fill on confirmation - the five pillars that make IdentityPulse work, in detail.

Overview

The platform at a glance.

Data
013.75B+ identity records
0246+ countries covered
03Regularly refreshed
Architecture
01Sub-200ms response time
02Encrypted matching
03Azure global infrastructure
Commercial
01Success-only billing
02Primary-source pricing
03Volume-based scaling
01
RecencyCoverage & Recency

We verify the users your current stack can't.

Alternative data fills the thin-file gap that credit-bureau-derived networks structurally cannot reach. Gen Z users, recent immigrants, and emerging-market populations - verified through over 3.7 billion records, regularly refreshed across 46+ countries.

Where networks built on credit-bureau data return no-hits on legitimate users, IdentityPulse typically returns a confirmed match - and only bills you when it does.

View full coverage breakdown →
02
PERFORMANCEPERFORMANCE & VELOCITY

Sub-200ms. Every query. Globally.

Latency at the sign-up gate is a conversion problem, not a technical one. Every 100ms of additional delay costs you legitimate users at the moment they're most likely to abandon.

Azure Front Door routing, regional match nodes, and a Kubernetes scaling profile from 300 to 7,500 QPS deliver the speed modern onboarding flows require - without manual capacity planning.

03
SUCCESS ONLYCOMMERCIAL MODEL

You pay only for verified matches. No match? Not billable.

Per-query pricing is the industry default. Every lookup is billable - whether or not it returns a match - which makes unit economics unpredictable.

IdentityPulse bills only on a CONFIRMED_MATCH response. Failed lookups, no-hits, and stale-record misses are non-billable. Cost-per-onboarded-customer becomes predictable.

04
ENCRYPTED MATCHINGARCHITECTURAL SECURITY

Identity matching, without decrypting the underlying data.

IdentityPulse's matching layer is designed to operate without decrypting underlying reference data. Personal information is protected by privacy-preserving encryption techniques at every point in the chain - in transit, at rest, and during the matching process itself.

This satisfies GDPR's data minimisation principle by architecture rather than policy, meets the eIDAS 2.0 framework, and removes the most expensive breach surface from your verification stack.

View the Compliance Architecture →
05
PRE-FILLCONVERSION OPTIMISATION

On every confirmed match, we give you the data back.

When IdentityPulse returns a CONFIRMED_MATCH, clients with pre-fill enabled receive a structured object of verified identity attributes - name, address, DOB, email, national ID - with first-seen and last-seen timestamps per field.

Auto-populate onboarding forms. Reduce drop-off for legitimate users. Pre-fill is never returned on lower-confidence responses.

Response · CONFIRMED_MATCH
{
"status": "CONFIRMED_MATCH",
"confidence": 0.98,
"prefill": {
"name": "•••••••••••",
"address": "•••••••••••",
"first_seen": "2019-03-14",
"last_seen": "2026-04-15"
}
}
Fields masked in diagram · real response returns verified values

Want to see the platform yourself?

Walk through the architecture, explore field-level coverage, and review the match quality rubrics in the Product Dashboard. No login required.

Explore the Product Dashboard →
Next steps

Get a baseline match rate from our data team in your next call.

ISO 27001 300–7,500 QPS Azure-native Encrypted matching
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