TRUE, a provider of background AI for mortgage operations, has reported significant growth and momentum in the first half of 2025. This includes securing new enterprise customer contracts, expanding deployments across extensive branch networks, and increasing adoption of its AI-powered Mortgage Operations Service (MOS) platform.
The company states that multiple lenders have signed contracts for its background AI solutions. Additionally, existing customers are rapidly scaling their use of TRUE’s platform, with AI background workers now operating in hundreds of branches nationwide. “Our growth is powered by lender partnerships,” said Steve Butler, CEO of TRUE. “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.”
TRUE’s momentum in the first half of 2025 is highlighted by new customer wins, expanding deployments, and several clients migrating to the TRUE Cloud. These clients include Fairway, Ruoff, Candor, MGIC, First Continental Mortgage, and HomeLend. Current customers have deployed TRUE across hundreds of branches, demonstrating the platform’s capacity to scale rapidly and deliver consistent value to distributed teams.
This growth indicates increasing market recognition of TRUE’s AI technology, which operates autonomously in the background to classify, validate, and update borrower data in real time without requiring human oversight or complex system integrations. As more lenders seek to optimize operations, decrease cycle times, and enhance the borrower experience, TRUE’s fully integrated background AI platform is becoming a core component of modern lending infrastructure.
TRUE is described as a background AI platform designed for the mortgage industry, aiming to transform how lenders process borrower documents and make decisions. Its functions include eliminating redundant workflows, accelerating decision-making times, and improving data quality, all while integrating with existing technology stacks. More information is available at www.true.ai.
