Atlas provides an AI‑driven platform that automates the full loan origination workflow for banks, credit unions, and fintech lenders. It extracts structured data from borrower documents, generates risk scores and credit memos, and interacts with applicants via a conversational interface, cutting processing time by up to 95% while ensuring data security and compliance.
Funding
Funding not disclosed
Founders
Product
Problem
Financial institutions often face lengthy, error‑prone lending workflows where manual document handling, data extraction, and underwriting decisions delay loan approvals and degrade borrower experience.
Solution
Atlas offers an AI‑driven banking agent that automates the end‑to‑end lending process. The platform extracts key data from borrower documents, detects and resolves errors, and generates risk scores and credit memos to support underwriting analysts. By integrating with existing loan origination systems and adapting to custom credit policies, Atlas reduces processing time by up to 95% while maintaining data accuracy and security. The agent also engages borrowers through conversational interfaces, guiding them through application and document submission, which improves customer satisfaction and accelerates deal closure.
Target Audience
Primary customers are banks, credit unions, and fintech lenders that operate high‑volume loan origination and underwriting workflows.
Features
- Large‑language‑model (LLM) powered engine that reads, writes, and interprets loan documents in real time
- Automated extraction of structured data from PDFs, images, and scanned forms with built‑in error detection
- Context‑aware risk scoring and auto‑generation of credit memos for underwriting analysts
- Conversational borrower interface that collects missing information and resolves issues proactively
- Seamless integration via APIs to existing loan origination and CRM systems
- Customizable rule engine to align with each institution’s credit policies
- Enterprise‑grade encryption and compliance‑focused security controls for sensitive financial data