Making AI Work on Real Enterprise Data

We deploy institutional knowledge infrastructure that gives AI tools verified context about your business. Here's what that looks like in production.

Case Study 01
Fortune 100 Conglomerate
Data Reconciliation

$180M+ Projected Annual Savings

Unified product identifiers across 12 ERPs and 4 regional systems. AI tools now resolve cross-system entities in under 1 second.

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Case Study 02
F50 Healthcare System
Knowledge Resolution

97% Accuracy in 6 Months

Deployed Phyvant on-premise to reconcile patient records across Epic, Cerner, and legacy billing systems. Self-improving loop reduced manual corrections by 94%.

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Case Study 03
Global Financial Services
Entity Mapping

80% Faster Due Diligence

Automated entity relationship mapping across 847 linked transactions. AI agents now trace corporate hierarchies and subsidiaries instantly.

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Make AI Understand Your Real Data Today.

We'll connect your AI tools to your real business data. Our institutional knowledge layer gives AI the context it needs to get things right.

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