Built on modern, secure infrastructure.
A layered architecture that ingests financial data, runs AI models and returns explainable credit intelligence — designed with security, auditability and integration in mind.
Platform Architecture
Data flows through a series of dedicated layers, each specialising in a step of the credit decision.
Layer 1
Financial Data Sources
Account Aggregator, bureau, KYC, GST, banking statements.
Layer 2
Data Ingestion
Secure pipelines that normalize and validate incoming data.
Layer 3
Feature Engineering
Cashflow, behaviour and identity features derived at scale.
Layer 4
AI Models
Risk, fraud and stress models trained on lending signals.
Layer 5
Decision Engine
Policy-aware orchestration combining scores and rules.
Layer 6
Explainability Layer
Feature attributions and human-readable reasoning.
Layer 7
Lender Dashboard
Underwriter-friendly interface for review and action.
Core Capabilities
The engineering foundations we’re building the platform on.
AI Risk Models
Behaviour-based models designed to complement bureau scoring — not replace judgment.
Fraud Detection
Signal-fusion across identity, device, cashflow and velocity indicators.
Cashflow Analytics
Structured views of income stability, expense patterns and net surplus.
Explainable AI
Every recommendation ships with reasons, weights and audit trail.
Secure APIs
Documented REST APIs and webhooks designed for LOS/LMS integration.
Enterprise Security
Encryption in transit and at rest, role-based access, audit logging.
Our Stack