Help With My Loan
AI software yields automated underwriting and loan matching at a 95% proven funding rate. The problem in the industry is a low 55% average at funding loans due to the fragmented lending process. HWML solved this problem by giving brokers, banks and consumers access to the platform syndicated with 300+ lenders in Commercial Real Estate, Residential Real Estate, Business, and Personal loans. HWML’s platform has funded over $600M+, loans sized from $100k-$50M!
Consistently in America, banks are readjusting their inward loan portfolios. When they have excessively numerous private loans, they change to business loans, when they have an excessive number of business loans, they change to commercial loans, a never ending cycle. Customers never know which bank is the right one for the loan on any given day and that’s when HWML steps in.
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HES LoanBox
HES LoanBox is a modular lending software platform designed to streamline digital loan origination, automate underwriting, and simplify end-to-end loan management for modern financial institutions. It enables lenders to offer white-label online applications, branded mobile apps, and a seamless borrower experience across devices. Through integrated KYC, biometric verification, and automated scoring, LoanBox accelerates approvals while ensuring high levels of security and compliance. Borrowers can apply for loans, track application status, upload documents, and manage active loans from a unified portal. Meanwhile, back-office teams gain an all-in-one environment for managing workflows, collections, borrower profiles, and credit products. With AI-powered scoring, automated reporting, configurable loans, and flexible integrations, HES LoanBox helps lenders reduce operational costs, improve decision accuracy, and achieve faster ROI.
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Aloan
Aloan automates the commercial loan underwriting workflow for banks, credit unions, and commercial lenders. Lenders upload their credit policy documents and the system automatically configures lending rules, data requirements, and compliance checklists. Borrowers submit loan applications through a branded portal where every deal is verified against the lender's policies before an underwriter reviews it. The system classifies and categorizes borrower documents — tax returns, financial statements, bank statements, rent rolls — and matches them to the correct entity in multi-borrower structures. Financial data is extracted into standardized spreads with every figure traced to the original source. Credit memos generate with borrower overviews, financial analysis, policy compliance results, and recommendations. Connects to existing loan origination systems via REST APIs. Implementation includes policy ingestion, template configuration, and team training.
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Kaaj
Kaaj is an underwriting OS for SMB lending, built with AI agents that turn messy borrower packages into decision-ready credit analysis in minutes. It is designed for small business lenders that need to process applications, broker emails, documents, bank statements, invoices, financials, and business verification signals without forcing a rip-and-replace of their existing CRM or loan origination system. Teams can forward emails, accept applications through a Kaaj form, or pipe structured data through the API, and Kaaj reads the package, parses documents, verifies the business, analyzes financials, drafts credit memos, and sends results into the Kaaj portal or the lender’s system of record. Its Document Intelligence reads handwritten, typed, scanned, photographed, PDF, Word, image, spreadsheet, and statement files, returning clean, auditable structured data that underwriters can actually use.
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