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Find Semantic Truth in Your Data
Resolve Who's Who, Infer Who Matters.
DarkMath improves marketing performance by fixing identity first and scaling the right audiences second. Powered by DecisionLinks data and continuously learning from real-world outcomes.
Why DarkMath
Not just better. Fundamentally different.
Traditional Matching Fails in a Complex World
Nearly 1 in 4 customer profiles contain critical errors.
Traditional systems struggle to resolve identity and overlook high-value customers when data is incomplete.DarkMath addresses both problems, fixing fragmented identities and uncovering valuable audiences through contextual understanding.
Traditional systems struggle to resolve identity and overlook high-value customers when data is incomplete.DarkMath addresses both problems, fixing fragmented identities and uncovering valuable audiences through contextual understanding.
John Smith Jr. vs. Sr.: Semantic Age Resolution
Go to DarkMatchTraditional systems struggle to distinguish identical names within the same household. DarkMatch uses contextual record linkage, behavioral patterns, device usage, and cross-signal relationships, to correctly separate individuals without relying on explicit identifiers.
Result: cleaner identity, better targeting, and more accurate attribution.
Result: cleaner identity, better targeting, and more accurate attribution.
Expand Your Audience Through DarkMath's Proxies
Go to DarkMirrorTraditional systems ignore customers when key attributes are missing. DarkMirror uses proxy audience intelligence to identify high-value individuals based on behavioral and contextual patterns, even when explicit data isn’t available.
Result: expanded reach without sacrificing precision.
Result: expanded reach without sacrificing precision.
The DarkMath Platform & Services
Probabilistic identity resolution, anomaly detection, and proxy audience expansion, powered by contextual intelligence.
PRODUCT DEMO
See DarkMath in Action
Watch how DarkMath resolves fragmented identities and uncovers high-value audiences in real time. The demo shows how you can:
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Uploading and processing customer data
Contextual record linkage across datasets
Reviewing match results and confidence scores
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DarkMatch
Contextual Record Linkage
Resolve fragmented and ambiguous customer records into accurate, usable identities. Handles complex cases like shared households and name variations using behavioral context and cross-signal relationships. Resulting in Higher match accuracy, fewer duplicates, and better targeting and attribution
DarkMirror
Proxy Audience Expansion
Find high-value customers even when key attributes are missing.Uses behavioral and contextual signals to identify who belongs in your target audience beyond explicit data. Resulting in expanded reach, maintained precision, and better CPA and ROAS
DarkWatch
Stochastic Anomaly Detection
Detect unusual patterns and potential fraud in real time.Uses contextual analysis to identify issues traditional rule-based systems miss. Resulting in fewer false positives and better detection accuracy
DarkLabs
Vector Database Sandbox
Test DarkMath on your data in a secure, controlled environment.Validate identity resolution and audience performance before full deployment. Resulting in safe data handling, faster validation, and reduced implementation risk
Legacy Systems vs. DarkMath
Dimension
Traditional Systems
DarkMath
Matching Mechanism
Static rules and basic fuzzy matching
Contextual record linkage using behavioral and cross-signal patterns
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Matching Scope/Capabilities
Breaks on typos, nicknames, format variations, missing fields
Understands context, behavior, and relationships across records
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Profile Accuracy
High error rates and inconsistent identity resolution
Higher accuracy and more reliable identity resolution across datasets
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Outcome
Fragmented identities, wasted spend, missed opportunities
Clean customer records, better targeting, and more accurate measurement
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From 5 to 1: Unifying the Fragmented Financial Identity
DarkMatchHow a national bank used Semantic Gravity to turn 85 million fragmented records into a single source of truth, uncovering hidden risk and slashing storage costs.
Key Result: $240M in hidden credit exposure identified.
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The Contextual Record Linkage Firewall: Eliminating "Zombie Data"
DarkMatchCombating churn by using the DarkMath Identity Spine to validate, repair, and enrich customer data in real-time.
Key Result: 12% reduction in customer churn.
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Beyond Demographics: Synthesizing Gen Z Audiences
DarkMirrorHow a global brand used behavioral proxy modeling to identify Gen Z consumers without relying on third-party cookies or explicit age data.
Key Result: 35% lower cost per acquisition (CPA).
