Shared infrastructure
The Global Data Refinery
One shared platform beneath every product: collection, identity, history, reasoning, localization, trust, and delivery. Every product reuses it — and builds its own track record on top.
Stage 1
COLLECT
Public and licensed sources
→ Timestamped raw observations
Stage 2
REFINE
Clean, link and timestamp
→ Canonical entities and events
Stage 3
REASON
Score, forecast and explain
→ Decision signals
Stage 4
LOCALIZE
Language, currency and context
→ Market-ready answers
Stage 5
DELIVER
Alerts, APIs and decisions
→ Action at the point of work
Data flywheel
More entities → better history → better scoring → retention → funds coverage
- More monitored entities create better histories and broader coverage.
- More customer decisions create labeled outcomes and improve scoring.
- Better scoring increases retention and willingness to pay.
- Higher recurring revenue funds deeper coverage and new verticals.