Matchbook AI

Explore a Range of Use-Cases

Not just connected. Matched, monitored & enriched. Matchbook actively integrates and synchronizes enriched, trustworthy external data across the apps, data platforms, and services your teams already use—delivering instant clarity and confidence.
Commercial External Data Sources
ERP Integrations
CRM Integrations
Cloud & Data Platforms
Compliance & Risk Tools

Who We Help

How Matchbook Fits Into Your Data Universe

Whether enriching leads, mastering warehouse records, or deploying behind your firewall, Matchbook delivers clean, connected data through a repeatable process that ensures trust at every step.

Primary Outcomes:
  • Deploys Matchbook inside customer-controlled infrastructure
  • Meets stringent compliance or data residency requirements
  • Keeps sensitive identity data entirely within your cloud boundary
  • Enables full enrichment, mastering, and monitoring behind the firewall
Typical Buyer Scenarios:
  • Financial institutions and insurers with strict data handling policies
  • Public sector or global orgs with data localization constraints
  • Security teams requiring zero third-party SaaS exposure
  • Infrastructure teams demanding deep control and customization
Primary Outcomes:
  • Creates golden records directly within Snowflake, Databricks, or BigQuery
  • Natively joins across internal and third-party datasets
  • Aligns business rules with enterprise data architecture
  • Enables low-latency querying for analytics, ML, and BI tools
Typical Buyer Scenarios:
  • Data architects looking to operationalize governance in the warehouse
  • Analytics teams needing trusted, deduplicated entities for modeling
  • Marketing ops or GTM analysts struggling with fragmented audience data
  • RevOps teams frustrated by delays syncing clean data across tools
Primary Outcomes:
  • Enriches and matches records at point of capture via API
  • Returns confidence scores, lineage, and full enrichment context
  • Supports edge use cases like fraud detection and lead routing
  • Scales easily across microservices and form-based systems
Typical Buyer Scenarios:
  • Enterprise architects needing composable, low-latency integrations
  • Developers building apps that rely on real-time identity resolution
  • Compliance teams integrating KYC/KYB into onboarding workflows
  • GTM teams enriching leads or accounts in real time from websites or events
Primary Outcomes:
  • Deploys Matchbook inside customer-controlled infrastructure
  • Meets stringent compliance or data residency requirements
  • Keeps sensitive identity data entirely within your cloud boundary
  • Enables full enrichment, mastering, and monitoring behind the firewall
Typical Buyer Scenarios:
  • Financial institutions and insurers with strict data handling policies
  • Public sector or global orgs with data localization constraints
  • Security teams requiring zero third-party SaaS exposure
  • Infrastructure teams demanding deep control and customization


Why it matters: Customers see value in weeks, not months, gain audit-ready trust scores, and cut manual data work by up to 80%—no matter which pattern they start with.

Ask Us How...

Ready to Trust Your Data—Everywhere?

Book a 30-minute walkthrough with a solutions engineer.