Overview
Internal ML platform for credit risk scoring, document classification, and batch inference pipelines.
Client & Industry
Client: FinEdge Capital
Industry: Financial Services
The Challenge
Data scientists shipped models manually. There was no versioning, no monitoring, and compliance audits took weeks.
Our Approach
We ran a focused discovery sprint with stakeholders, mapped existing workflows, and shipped in phases so users saw value within the first six weeks. Each release included QA, performance testing, and documentation for internal teams.
Outcome
The platform is now in daily production use. Internal teams report faster decision-making, fewer manual steps, and clearer visibility into the metrics that matter to leadership.