Finovate Demo Video Archives

Presenter Profile:

How they describe themselves: Consilience is an ML platform that automates feature discovery and model optimization for credit and fraud teams at financial institutions. Deploying within customers’ own AWS environments, Consilience accelerates model development cycles while improving predictive performance. Our automated pipeline handles feature engineering, model tuning, and residual analysis-delivering measurable lifts in credit decisioning accuracy without requiring dedicated data science resources.

How they describe their product/innovation: Consilience’s automated ML pipeline for credit risk modeling. The platform ingests raw data, performs intelligent feature discovery, optimizes models, and identifies residual performance hotspots-all automatically. In a recent proof of concept with a lending client, Consilience improved model AUC from 10%, demonstrating significant lift in default prediction accuracy with minimal manual intervention.

Product distribution strategy: Direct to Consumer (B2C), Through financial institutions, Through other fintech companies and platforms

Credit Union/Community Bank Fit: Credit unions and community banks

Contacts:

Bus. Dev.: Adriel Sumathipala (CEO, Founder), [email protected], 571-410-2148