TRUE, a provider of background AI for mortgage operations, has reported substantial growth and momentum in the first half of 2025, marked by new enterprise customer acquisitions, expanded deployments across large branch networks, and increased adoption of its AI-powered Mortgage Operations Service (MOS) platform.The company’s growth in the first half of 2025 includes new customer contracts with lenders seeking automation through background AI. Existing customers are also rapidly scaling production, with AI background workers now operating in hundreds of branches nationwide. Several new client wins, expanding deployments, and migrations to the TRUE Cloud have contributed to this momentum. Notable clients include Fairway, Ruoff, Candor, MGIC, First Continental Mortgage, and HomeLend.Steve Butler, CEO of TRUE, commented, “We’re working side‑by‑side with customers to operationalize background AI that removes manual tasks, speeds decisions, and proves ROI across large, distributed teams. When automation runs quietly and consistently in the background and the metrics improve, everybody wins.”Current customers have implemented TRUE across hundreds of branches, demonstrating the platform’s scalability and its ability to deliver consistent value to distributed teams. This reflects a growing market recognition of TRUE’s AI, which functions autonomously in the background to classify, validate, and update borrower data in real time without human intervention or extensive system integration. As lenders increasingly seek to streamline operations, reduce cycle times, and enhance the borrower experience, TRUE’s fully integrated background AI platform is becoming a foundational element of modern lending infrastructure. TRUE is positioned as the mortgage industry’s first and only background AI platform, designed to improve how lenders process borrower documents and make decisions. Its functionality ranges from document intake to underwriting, aiming to eliminate redundant workflows, accelerate decision times, and enhance data quality, all while integrating with existing technology stacks.