Future unveils Alpha, an in-house AI mortgage system

A small fish in the pond of fintech-focused mortgage companies is trying to race to the front in the artificial intelligence arms race. And it’s not using a typical ChatGPT-style program either.

Future Technologies CEO Blake Bianchi announced on Thursday that the company is launching a full-stack, proprietary AI system that promises to automate the mortgage process.

Future has been working on the in-house platform, Alpha, over the past three and a half years. It is powered by agentic AI, a suite of digital agents purpose-built for the mortgage workflow, and machine learning to handle tasks typically performed by loan officers, processors, underwriters and closers.

“We’re eliminating the need for expensive middleware SaaS products and replacing them with a super app that gives brokers everything they need — from an AI Loan Officer Assistant to a Processor, Underwriter, Closer, and every other function of a mortgage company,” Bianchi said in a press release.

“We’re not talking about basic ChatGPT integrations. We’re talking about a fully built-from-scratch ecosystem that’s faster, smarter, and more customizable than anything built on someone else’s platform.”

Efficiency, not replacement

Alpha is designed to allow loan officers to focus on client relationships while the AI handles document processing, product selection and other operational tasks. Users can toggle between fully automated workflows and human intervention, depending on client needs.

“We’re not replacing loan officers or operations staff; we’re making them 10x more efficient and reducing human risk in decisioning and catching errors. This is about amplifying human talent, not eliminating it,” Bianchi said.

Future Technologies, a venture-backed firm that also operates as a small mortgage lender, Future Mortgage, has raised two funding rounds in the past 12 months and another in 2021. The company started as a tech-focused business but has “built a mortgage company, because we had to test the tech that we built,” Bianchi said.

Bianchi told HousingWire in an interview that the goal for Alpha is to replace more than 10 different third-party software tools with a single integrated platform. He also said that he doesn’t plan on becoming a SaaS provider.

The program, which is in beta testing, is currently being used internally. Thursday’s announcement, Bianchi said, is to disclose that Alpha will be released publicly in the first quarter of 2026.

He confirmed that it will be free for brokers — including competitors — for a limited time, with an option for lenders to adopt it companywide. Consumer-facing access would come through whichever LOs or brokers use the system.

Beyond the basics

Although Bianchi did not say why the company is offering Alpha for free, he mentioned that the company does not plan to generate revenue directly from the software at launch and is seeking broker feedback before wider rollout.

“The goal today is to let people know that we’re not just doing one AI feature like a calculator or conversational, question-answering AI,” he said. “We’re going all the way from the very beginning of the loan, from CRM, all the way to the sale of the loan. And we’re doing everything in between. So every job role that you can think of in a mortgage company has been automated by it.”

Bianchi said most mortgage technology on the market today offers only basic AI functions, such as chatbot-style interfaces.

“Most of the platforms that exist today are traditional systems; there’s very little automation, and there’s no AI built into any platform. … Everyone’s built their own chat feature where they can ask questions, but that’s like the very base level of AI,” he said. “A more in-depth AI is agentic AI, where our AI agent can do pretty much 99% of the workload and the mortgage — so pretty much everything except for getting the client to come fill out an application and apply is what our platform takes over.

“There’s a lot of human decisioning that goes into finding the right product and best rate for the consumer, which leaves a lot of risk for the consumer,” he added. “The consumer is hoping that some random loan officer that he just met is going to put them in the right loan product or the right price (and) can approve them for a loan. So our goal is, one, that we want to increase the number of consumers who apply for a loan and increase their approval odds. And then two, we want to get them approved faster and more accurately. And that can be done with AI.”