AI & Machine Learning
Automated Risk Scoring Engine
Client
Apex Capital
Industry
FinTech
Timeline
4 Months
Project Type
AI Scoring Engine
The Challenge
Apex Capital processed high-value commercial loans manually. Underwriters spent between 5 to 7 business days per application, auditing bank statements, analyzing corporate declarations, and checking databases. This slow turnaround resulted in high drop-off rates and lost business to automated online competitors.
The Solution
Designed and deployed a custom real-time credit risk scoring engine. We trained machine learning regression models on historic financial records to gauge default probabilities, integrated LLM OCR parsers to ingest bank statement transcripts instantly, and automated background credit queries via FastAPI. The frontend dashboard was built using Next.js for clear underwriter review.
TECHNOLOGY STACK USED
PythonTensorFlowNext.jsAWSPostgreSQLFastAPI
The Results
Tangible metrics achieved through technical integration and automation strategy.
0%
Speed Increase
$0M
Annual Savings
0%
Uptime Achieved
0x
Revenue Growth
“
"ToggleITAI delivered a world-class system that completely automated our primary underwriting pipeline. Our loan throughput tripled within 30 days."
SJ
Sarah Jenkins
VP of Underwriting at Apex Capital