Step 1: Parsing statementsand applications
We collect and process all client data from loan applications, securely transmitting it to your CRM or system via API
Step 2: Automated document data capture
We extract and structure key data from financial documents using AI, accurately identifying fields without templates or manual setup
Step 3: Default risk analysis
We assess borrower reliability using data from external credit and legal providers like DataMerch and UniCourt, giving you flexible, accurate risk insights
Step 4: Industry and state risk profiling
Set detailed lending rules by industry and state, directly in your CRM or via Excel – quick to adjust, easy to control
Step 5: Transaction pattern analysis
Analyze merchant info, revenue trends, balances, and funding metrics. All indicators are customizable for your business model.
Step 6: Offer generation
Metrics form a weighted score that defines borrower risk. The system automatically sets rates, terms, and fees – creating instant, data-driven offers.
Step 7: Automated offer delivery
Send offers directly to brokers using customizable templates tailored to your brand and format
Step 8: Parsing DL and VC documents
Extract key info from Driver Licenses and VC – routing, account, and owner details – automatically pre-filling contracts in your CRM
Step 9: Background check
Process checks by uploading Clear reports or via API, with key information automatically structured in your CRM – flexible to fit your workflow
Step 10: Contract delivery
Send agreements via DocuSign, automatically pre-filled with client data for faster, error-free signing
Step 11: Funding call preparation
AI reviews transactions and background checks, flags risks, and generates a focused list of questions with suggested answers
Step 12: Loan disbursement and management
After funding, track all payments with real-time status updates and manage loans efficiently in the Loan Management System
