High-Growth Markets
Verified Profiles
Adult Population Coverage
Detect Fraud At The Identity Level.
Built on the Living Identity® graph, Identity Fraud Defense surfaces synthetic identities, fraud networks, and anomalous behavior before they reach your decisioning systems. By resolving fragmented records into persistent, verified entities, it delivers explainable confidence indicators, integrity flags, and linkage signals that turn opaque identity into defensible inputs — every signal sourced, dated, and explainable.
Result: Earlier detection, lower fraud exposure, and decisions that withstand audit and regulatory scrutiny.
From Fragmented Data To Audit-Ready Identity.
Identity Enrichment transforms incomplete and inconsistent records into structured, verified profiles. By linking attributes across trusted sources within the Living Identity® graph, it fills gaps, validates key data points, and tags every attribute with provenance and recency — creating a defensible foundation for KYC, AML, compliance, and decisioning workflows that hold up under audit.
Result: Higher data accuracy, stronger regulatory defensibility, and decision-grade identity profiles.
Turn Identity Into Confident Action.
Identity Decisioning makes resolved identity usable at the moments that matter — onboarding, transactions, regulated decisions. With a persistent identity layer and real-time validation across multiple trusted sources, organizations turn the point of entry into a point of confidence — backed by explainable signals that defend every decision.
Result: Higher-confidence onboarding, faster time-to-decision, and a defensible decision trail under audit.
Five workflows where Living Identity® turns 2B+ verified profiles into defensible, decision-grade outcomes — across 26 emerging markets.
Every deployment draws from the same persistent identity graph and the same explainable signals. Resolution happens once; enrichment, validation, scoring, and decisioning all reference the same source of truth. The result: defensible identity decisions under regulatory scrutiny — not probabilistic matches, not opaque scores.
Every deployment draws from the same persistent identity graph and the same explainable signals. Resolution happens once; enrichment, validation, scoring, and decisioning all reference the same source of truth. The result: defensible identity decisions under regulatory scrutiny — not probabilistic matches, not opaque scores.
Built on Living Identity®
The persistent identity graph powering deterministic resolution, regulated enrichment, and decision-grade intelligence across 26 high-growth markets.
Living Identity®:
Identity As Infrastructure
Fraud defense, identity enrichment, and decisioning all run on the same persistent identity graph. Living Identity® resolves fragmented records into one verified entity per person — continuously updated, fully sourced, and built to hold up under regulatory scrutiny.
Enrichment, validation, scoring, and decisioning all reference the same source of truth — no duplicate systems, no inconsistent answers, no opaque scoring.
- Deterministic identity resolution across fragmented records — no probabilistic matching, no opaque scoring
- Cross-source entity linkage that consolidates identity attributes from governed, jurisdiction-aligned data sources
- Real-time and batch verification APIs designed for production identity workflows
- Confidence, consistency, and recency scoring on every attribute — explainable by design
- Audit-ready data lineage with full provenance metadata on every record
- Privacy-first, API-based delivery — no raw PII transfer, no embedded SDKs required
Behavior As A Signal
1B+ enriched mobile advertising IDs across 8 high-growth markets, transformed into structured behavioral, location, and lifestyle intelligence.
MAID Intelligence reveals how audiences move, engage, and behave — modeled and activation-ready, without raw PII.
- Device-level segmentation and modeling built on behavioral, demographic, and lifestyle signals
- Location and mobility intelligence — home and work patterns, movement frequency, relocation detection
- Lifestyle and interest categorization across nine structured behavioral domains
- Lookalike audience modeling that expands seed MAIDs into high-value acquisition cohorts
- Programmatic-ready activation with structured outputs engineered for DSP and campaign environments
- Privacy-first, non-PII architecture — no direct identifiers, no personal data exposure
