uFlow provides a serverless, web‑based decision engine that lets credit teams build, test, and deploy underwriting policies via a drag‑and‑drop visual editor and REST API, eliminating code and reducing IT dependency. The platform integrates Python/R machine‑learning models, offers real‑time analytics dashboards, and ensures ISO/IEC 27001‑grade security on AWS, enabling banks and fintech lenders to accelerate credit decisions while maintaining compliance.
Funding
Funding not disclosed
Founders
Product
Problem
Financial institutions often depend on legacy, code‑centric underwriting systems that require extensive IT involvement, leading to slow decision cycles, high operational error rates, and limited ability to incorporate real‑time data or machine‑learning insights.
Solution
uFlow delivers a fully web‑based, serverless decision engine that enables credit teams to design, test, and deploy underwriting policies without writing code. A drag‑and‑drop visual editor lets users construct decision trees or flowcharts, while a RESTful API provides seamless integration with core banking, onboarding, and front‑end platforms. The platform supports plug‑in machine‑learning models in Python or R, allowing data‑driven risk scoring without managing separate compute environments. Real‑time dashboards surface transaction analytics and policy performance metrics, facilitating continuous optimization. Hosted on AWS, uFlow offers 24/7 scalability, automatic version control, and ISO/IEC 27001‑certified security, ensuring compliance and data protection. The solution reduces reliance on IT, shortens policy rollout from weeks to hours, and improves credit decision accuracy and speed.
Target Audience
The primary customers are banks, fintech lenders, credit unions, and digital loan platforms that need to automate underwriting while maintaining regulatory compliance and operational agility.
Features
- Visual drag‑and‑drop policy editor for building decision trees and rule flows entirely in the browser
- Fully managed REST API for bi‑directional integration with core banking, CRM, and digital onboarding systems
- Built‑in machine‑learning model deployment (Python/R) with no infrastructure provisioning required
- Real‑time analytics dashboard delivering transaction monitoring, KPI visualizations, and policy impact reports
- Serverless AWS architecture guaranteeing auto‑scaling, high availability, and fault tolerance
- Automatic policy versioning with instant rollback and historical audit trails
- Enterprise‑grade security: two‑factor authentication, JWT tokens, AES‑encrypted data at rest, SHA‑512 password hashing, ISO/IEC 27001 compliance
- Multi‑source data ingestion supporting credit bureaus, custom web services, and bulk file uploads with caching layer for latency reduction