The average mortgage shopper might see a dozen different loan estimates before signing. Safe Rate, a Chicago-based fintech founded in 2018, runs those documents through an AI agent and returns a score from zero to one hundred in under half a minute. The company claims its benchmark is built on two million historical loans [Hacker News, June 2024].
The bet is that speed and transparency, delivered through a chat interface, can pull consumers away from traditional brokers and direct lenders. Co-founders Shima Rayej and Dylan Hall built the platform to function as both a digital mortgage marketplace and an AI sales assistant [Safe Rate]. The tool, which leverages Google's Gemini and Document AI, promises personalized rates in 20 seconds without requiring a social security number upfront [Google Cloud, July 2024] [Safe Rate, 2025].
The Chat-Native Wedge
Safe Rate's product surfaces in three primary ways for consumers. A user can answer a few questions for an instant quote, upload an existing loan estimate for the AI to try and beat, or submit a current mortgage statement to analyze refinance potential [Google, 2024]. The system is accessible via web chat, email, phone, and Slack, with plans to expand to RCS, SMS, and WhatsApp [Hacker News, June 2024].
For loan officers, the platform automates the pre-application sales process. The AI assistant can join live calls, listen in, and help price loans in real time while the human officer focuses on the client [Hacker News, June 2024]. The company says this lets officers "gain more leads, communicate more effectively, and win more loans" [Safe Rate].
The Team and the Technical Backbone
The founding duo brings a mix of product and technical depth. Shima Rayej, the Chief Product Officer, studied at MIT and is based in Chicago [LinkedIn, 2026] [RocketReach, 2026]. Dylan Hall, the CEO and Head of Mortgage Lending and Compliance, is a lecturer in the Masters Program in Computer Science at the University of Chicago and holds an active NMLS license [University of Chicago, 2026] [LinkedIn, 2026].
Their technical stack is built on Google Cloud. The core AI mortgage agent is powered by Google's Gemini and Document AI models [Google Cloud, July 2024]. The company claims its hyperlocal data covers rates, lenders, and ownership costs for over 80,000 places and 2,000 lenders [Safe Rate].
Traction and the Funding Picture
The company states mortgage shoppers have saved between $100 and $12,000 per year in interest by using its platform [Safe Rate]. It also promotes a $2,000 credit toward a user's mortgage loan as an incentive [Safe Rate, 2026]. According to third-party data, Safe Rate has raised approximately $715,000 across one round [Prospeo]. The company has participated in the GET Seed Founder Program and is connected to the University of Chicago's Polsky Center for Entrepreneurship.
| Role | Name | Background |
|---|---|---|
| Co-founder, CEO | Dylan Hall | Lecturer, University of Chicago CS; former CTO/data scientist; NMLS #1658740 [LinkedIn, 2026] [University of Chicago, 2026] |
| Co-founder, CPO | Shima Rayej | MIT alum; based in Chicago [LinkedIn, 2026] [RocketReach, 2026] |
Where the Model Faces Pressure
- Consumer trust. Converting a casual rate shopper into a closed loan requires eventually collecting sensitive data and guiding them through a full, compliance-heavy process.
- Lender network growth. The value to consumers hinges on the breadth and competitiveness of the lender marketplace.
- Capital intensity. With under $1 million in disclosed funding, Safe Rate's ability to scale its own lending operations or secure significant partnership commitments may be constrained.
The Next Twelve Months
For a company founded in 2018, the next phase is about proving it can transition from a promising tool to a scalable business. Key milestones to watch include a named institutional funding round, the announcement of a major lender or enterprise partner for its B2B tools, and a clear expansion of its live lending footprint beyond its initial geographic focus.