Consented Data Lake

Data that's earned. Never scraped.

DataBillity operates the largest consented consumer data lake built for enterprise AI - 300M+ US and Canadian records where every signal is permission-bound, every access is auditable, and every use case is governed by the consumer's explicit consent. This isn't a data broker. It's consent-first infrastructure for enterprises that refuse to choose between data power and data privacy.

The problem

Enterprise data is broken.

Most enterprise data infrastructure was designed before privacy regulation, before AI, and before consumers started paying attention. The result: siloed systems, ungoverned data, and a growing compliance surface that slows every initiative.

Siloed by default

Billing lives in one system. Payments in another. Mobility in a third. CRM in a fourth. None of them talk to each other - and none were built with consent in mind.

Compliance as afterthought

Most data lakes bolt privacy on after the fact. GDPR addendum here, CCPA checkbox there. The result is a patchwork that collapses under procurement scrutiny or regulatory audit.

AI on dirty data

Garbage in, garbage out. AI models trained on scraped, third-party, or probabilistic data produce unreliable results and create unquantifiable legal exposure.

How it works

Consent-coupled architecture.

Every record in the DataBillity data lake is bound to its consent artifact at the point of ingestion. Not tagged. Not flagged. Coupled. The consent record and the data record are inseparable - if the consent is revoked, the data is automatically quarantined.

  1. 01
    Consumer Interaction
  2. 02
    Consent Capture
  3. 03
    Consent Binding
  4. 04
    Identity Resolution
  5. 05
    Network Activation

What's in the lake

Six signal categories. One unified profile.

The DataBillity data lake ingests, normalizes, and governs six categories of enterprise data - each consent-coupled, each contributing to a deterministic consumer profile that powers everything from AI recommendations to cross-network intelligence.

Billing

Billing & Subscription Data

Lease terms, payment schedules, subscription tiers, renewal timelines, upgrade/downgrade patterns. The most predictive data category in enterprise - and the most underused.

Payments

Transaction & Payment Data

Purchase history, transaction frequency, average order value, payment method preferences, cross-merchant spend patterns. Real commerce behavior, not modeled estimates.

Mobility

Mobility & Location Intelligence

Visit frequency, dwell time, commute patterns, trade area analysis, competitive visitation. Consent-governed geospatial intelligence that reveals real-world behavior.

Behavioral

Behavioral & Engagement Signals

Click paths, content engagement, channel preferences, response rates, session depth. Digital behavior signals that inform personalization and timing.

CRM / ERP

CRM & Enterprise System Data

Customer records, sales pipeline, service history, loyalty status, account hierarchies. The structured data that anchors everything else.

Enrichment

Third-Party Enrichment

Demographic overlays, firmographic data, credit indicators, lifestyle segments. All third-party data is consent-matched and never used as a primary signal - enrichment only.

Identity

Deterministic. Not probabilistic.

DataBillity's identity resolution engine uses deterministic matching - verified identifiers like email, phone, device ID, and billing account number - to link records to a single consumer profile. No probability scores. No cookie graphs. No inferred relationships.

What we do

  • Match on verified, first-party identifiers
  • Maintain a single persistent consumer ID across all data sources
  • Support cross-device and cross-channel resolution
  • Provide full audit trail of every match decision
  • Enable consumer-initiated profile review and correction

What we don't do

  • No probabilistic matching or “lookalike” modeling for identity
  • No cookie syncing or browser fingerprinting
  • No third-party identity graph dependencies
  • No inferred relationships or household modeling
  • No identity data sold or shared outside the consent scope

Governance

Privacy isn't a feature. It's the foundation.

DataBillity's data lake was designed for regulated industries and enterprise procurement. Every architectural decision - from consent coupling to API audit trails - was made with compliance officers, legal teams, and security reviewers in mind.

  • SOC 2 Type II
  • GDPR & UK GDPR
  • CCPA / CPRA
  • PIPEDA & Quebec Law 25
  • CASL
  • TCPA

Your data. Your customers' consent. Our infrastructure.

Whether you're building on the DataBillity platform or exploring how consented data infrastructure can transform your enterprise - we're ready to talk.