One platform. Every model you need.
The Consilience platform connects to your data warehouse, automatically discovers predictive features, trains models against any prediction target, and validates them with SR 11-7-aligned documentation. Your team gets a production-ready credit, fraud, or pricing model in days — without manual feature engineering or stitched-together notebooks.
How It Works
Days, not months
Traditional model development is a months-long slog. Consilience compresses it to days.
Traditional ML Build
6–12 monthsData Prep
Month 1
Manual Feature Brainstorming
Month 2
Feature Engineering Iterations
Month 3–4
Model Parameter Tuning
Month 5
Compliance Review & Feature Audit
Month 5–6
Model Validation
Month 6+
Consilience
~3 daysThat tiny sliver is 3 days on a 12-month scale.
Day 1
Day 2
Day 3
Data Expertise
We know how to read complex financial data
Financial data is messy — deeply nested JSON, variable schemas across bureaus, raw transaction feeds with thousands of merchants and categories. Our platform was built from the ground up to parse, understand, and extract predictive signals from this complexity automatically.
Average age of all open tradelines
Fraction of trades with zero current balance
Months since most recent delinquency
Total revolving balance / total revolving limit
Model Flexibility
Train on any prediction target
Binary classification, regression, or custom architectures — configure the prediction target to exactly match your business objective.
Integrations
Connects to your data, wherever it lives
Native connectors for every major data warehouse. No ETL pipelines to maintain.
Versioned Feature Engineering Code
Every model version comes with the exact feature engineering code used to produce it. Reproduce any result. Meet model risk management requirements. Own your work completely.
Feature Audit Trail
Every feature has a human-readable definition, importance score, and lineage trace. Designed to support model risk reviews and regulatory examinations — without scrambling.