Automated Self-Improving Models
Intelligence that Gets Smarter Every Day
A Predictive Model Only Matters If it’s Being Used
Even the most advanced predictive models deliver zero value without real-world adoption
Most internally built models never make it into day-to-day operations
Without continuous use and updates, models quickly become outdated and irrelevant
AI Models that Never Go Stale
Reef automates model productionalization and the ML Ops work required to keep predictions accurate, adaptive, and always in use.
Always up to date
New data ingested daily to ensure Reef has the most current view of a business possible.
Customers are scored bi-weekly
Every time customers are rescored, the model automatically recalibrates and reweighs features to prevent model drift over time.
Automated feedback loops
Reef feeds activity and revenue outcome data back into the dataset to enable the model to learn and improve over time. Reef models consistently self-improve over time after feeding in new data and learning from feedback loops
Empower your business with a Predictive Data Foundation
Connect, validate, and activate your data to power AI-driven enterprise agents that predict growth, risk, and renewals.
