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DATA ENRICHMENT 

Multi-sourced. Human-verified.
System-integrated

AI-accelerated enrichment for company, contact,
and GTM data – built for scale, precision, and consumption efficiency

Strategic Context

Self-service enrichment platforms optimize for data volume. We optimize for buying center intelligence. This distinction typically produces 30-50% higher pipeline conversion than Apollo, Clay, or ZoomInfo enrichment—by combining analyst-validated role mapping, compliance-embedded workflows, and schema-matched integration that eliminates manual RevOps overhead.

What it Solves

Contact databases lose 20-30% accuracy annually.
Campaigns waste budget on wrong roles.

Self-serve tools add volume without buying context. Conversion stays flat at 1-2%

Revenue teams at 50K-25M+ record scale face precision and compliance
gaps that consumption-based platforms cannot solve.

We solve for:

Data decay creates campaign waste

Contact databases lose 20-30% accuracy annually as roles change and territories realign. Marketing sends outreach to outdated contacts, sales pursues accounts covered by other reps. Teams waste 30-40% of budget targeting incorrect contacts.

Self-serve platforms lack buying center intelligence

Apollo, Clay, and ZoomInfo provide firmographics but miss role influence, decision proximity, and stakeholder networks. Teams build 10,000-contact lists but convert at 1-2% because targeting lacks buying context that determines who influences purchase decisions.

Compliance demands field-level audit trails

GDPR, CCPA, and SOC-2 require timestamped source attribution for every enriched field. Most enrichment workflows lack provenance tracking, creating regulatory risk during audits when legal teams cannot trace data lineage.

Consumption pricing rewards volume over precision

AI-native platforms charge per query. Teams without optimization frameworks spend 30-50% of credits on redundant lookups and low-priority records that never convert to pipeline, inflating costs without improving results.

Schema mismatches block campaign execution

Enrichment outputs that ignore CRM field structures require manual mapping before use. RevOps teams spend 15-20 hours per month reconciling enriched data to internal taxonomies instead of launching campaigns.
How It Works
Configure CRM schema. Validate 100 fields per account.
Sync with compliance metadata
AI sources 500+ databases. Analysts confirm role relevance. RevOps launches campaigns same-day

Our enrichment engine integrates seamlessly into your GTM stack – delivering high-volume, high-context intelligence without disrupting existing workflows. 

Schema Alignment

Configure enrichment fields to match Salesforce, HubSpot, or Marketo structures including company hierarchies, business unit breakdowns, and geographic entities. Field mapping aligns to internal taxonomies before enrichment begins, eliminating post-delivery mapping cycles that delay campaign execution.

Source Research & Analyst Validation

AI queries 500+ databases (public records, commercial sources, industry directories) to identify initial matches. Analysts validate top 100 fields per account: role relevance, seniority accuracy, buying center position, decision proximity. Enrichment delivers context at 50K-25M+ record scale without requiring manual verification overhead from RevOps teams

Signal Integration

Enriched records include hiring momentum (new roles added in past 90 days), job change notifications (contacts who recently changed positions), technology stack details (platforms deployed), organizational function maps (reporting lines), and decision proximity scores (budget authority vs. technical evaluator vs. influencer). Contact data reflects influence tier beyond static demographics.

CRM Synchronization

Enriched fields sync to Salesforce, HubSpot, Marketo, or Pardot via native connectors with configurable refresh cadence (real-time, scheduled, campaign-triggered). RevOps teams launch segmented campaigns immediately without manual data imports or field mapping exercises.

Compliance Documentation

Every enriched record carries GDPR, CCPA, and SOC-2-aligned provenance: data source, collection timestamp, processing authorization. Audit logs track enrichment history at field level for regulatory review. Legal teams access compliance reports without requiring engineering support.

Interested? Let's Chat

DATA ENRICHMENT SERVICES

Why Our Clients Work with Us
Self-service enrichment platforms optimize for contact volume and credit consumption. We optimize for pipeline conversion and CAC efficiency. This distinction typically produces 40-60% pipeline increase and 30-45% CAC reduction in client engagements—by treating enrichment as intelligence engineering, not data processing.

Analyst validation produces 8-12% conversion vs. 1-2% from self-serve volume.

AI sources 500+ databases. Analysts validate buying center position. Campaigns launch same-day
  • Analyst validation increases conversion 4-6x. AI handles initial research across 500+ databases; analysts validate role relevance, seniority accuracy, and buying center position for top 100 fields per account. Enriched contacts convert at 8-12% vs. 1-2% from self-serve tools because targeting reflects decision proximity, not just job titles.
  • Schema-matched output eliminates 15-20 hours monthly mapping overhead. Enriched fields sync directly to Salesforce, HubSpot, Marketo schemas including custom hierarchies and business unit structures. RevOps teams launch campaigns immediately instead of reconciling data to internal taxonomies before use.
  • Embedded compliance tracking passes SOC-2 audits without engineering support. Every enriched field includes data source attribution, collection timestamp, and processing authorization. Legal teams pull field-level audit logs for GDPR, CCPA, and SOC-2 reviews without RevOps involvement or manual documentation assembly.
  • Query optimization reduces consumption platform costs 30-50%. Pre-validated enrichment queries eliminate redundant lookups and low-priority record processing in Clay and Apollo workflows. Teams using consumption-based pricing cut credit expenditure through structured query frameworks that target high-conversion contacts.
  • Buying center intelligence supports ABM, SDR, and field marketing execution. Enrichment workflows segment by decision proximity (budget authority vs. technical vs. influencer), company tier (enterprise vs. mid-market), and account readiness (expansion vs. new logo). Implementation adapts to sales structures and territory planning requirements without custom development.

Need enrichment at 50K-25M+ record scale with analyst validation and schema integration? Review sample enriched records with provenance tracking and field mapping

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