Wholesale mortgage lender specializing in Non-QM and alternative lending products
AD Mortgage is a wholesale lender with active infrastructure around Non-QM lending, conventional, government, and jumbo products. The tech stack reveals a hybrid operating model: enterprise systems (NetSuite, SAP, Oracle) for back-office operations paired with modern AI/ML tooling (TensorFlow, PyTorch, OpenAI, Claude, Gemini) concentrated on loan origination, servicing, and risk assessment. HR and operations lead the hiring surge (20 of 51 roles in last 30 days), while a newly hired AI Development Team Lead signals acceleration in automating underwriting and fraud detection—directly addressing their core pain points around loan fraud, approval rework, and underwriting efficiency.
Notable leadership hires: AI Development Team Lead
AD Mortgage is a wholesale mortgage lender based in Fort Lauderdale, Florida, serving mortgage brokers and loan officers across the United States. Founded in 2005, the company operates across conventional, government, jumbo, VA, and Non-QM lending segments, with proprietary technology including an AI-driven broker portal (AIM), automated underwriting for Non-QM loans, and a partner loyalty program with over 8,000 participants. The organization manages end-to-end loan origination, servicing, and compliance operations, employing 201–500 people. Active projects span AI-driven risk assessment and loan servicing pipelines, incident response infrastructure, and employee benefit management.
AD Mortgage operates on NetSuite and SAP for enterprise operations, with Python, TensorFlow, PyTorch, and large language models (OpenAI, Claude, Gemini, DeepSeek) supporting AI-driven underwriting and origination systems, including their proprietary Non-QM automated underwriting system.
AD Mortgage is headquartered in Fort Lauderdale, Florida, and currently hires exclusively in the United States.
AD Mortgage LLC's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.