Automated Underwriting & Risk Scoring Engine
We engineered a secure, private automated risk underwriting pipeline for credit risk assessment. The system processes extensive application PDFs and returns structured risk profiles in under 3 seconds.
Financial Services Partner
12 Weeks
Enterprise LLM Development, MLOps Engineering
The Challenge
Our partner had to manually review lengthy, unstructured corporate financial records and applications, resulting in high turn-around times and inconsistent risk profiling.
The Solution
We deployed a custom fine-tuned Llama-3 model inside their private AWS VPC. We set up an OCR parsing pipeline that extracts balance sheet metrics, runs them through risk validation rules, and produces structured risk summaries using vector-based metadata lookup.
The Outcome
The engineering team achieved end-to-end processing speeds under 3 seconds per profile with complete data privacy. The underwriting workflows scaled significantly with no data leakage risks.
This project demonstrates our approach to building highly secure document processing networks for regulated sectors.
Technical Achievements
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