Strategic Growth Partner

From silicon valley to SERHANT. SERHANT.'s chief technology officer spent 25 years at Microsoft, Amazon, and Akoya, building systems used by millions. Now he's creating the infrastructure to connect agents, their customers, vendors, and fundamentally transform how homes are bought and sold from the inside out. Greg Chan has spent his career building technology that millions of people use without ever thinking about it. The best systems he built shared two distinctive qualities: they were invisible, and they worked seamlessly. Now, as Chief Technology Officer at SERHANT., he's harnessing that experience to transform real estate, an industry that moves trillions of dollars a year yet operates as if Ask Jeeves were still around. For Greg, that yawning gap between the industry's scale and its level of technology is a tantalizing opportunity. His answer is S.MPLE 2.0, the next generation of SERHANT.'s proprietary AI platform, which executes end-to-end real estate workflows from a single instruction. A Career Built on Tech's Biggest Stages Greg's résumé reads like a tour through the systems that run modern life. He started at Microsoft, helping deliver the core Office products that became the world's default tools for writing, data analysis, and presentations. He then spent a decade at Amazon in leadership roles across Amazon Payments and the Prime delivery and shopping experience, launching now-ubiquitous global payment products and building platforms where reliability was the beginning, middle, and end of the entire job. After Amazon, Greg served as VP of Engineering at a fintech and B2B startup, scaling its product, technology, and team. He then became Chief Technology Officer at Akoya, an open finance company built to give consumers real control over their financial data. Under his leadership, Akoya scaled its financial data access network and launched a new open finance solution for major financial institutions. Serving the Individual to Drive Widespread Change Akoya was where Greg's philosophy came into focus. For years, using a financial app meant handing over your bank login and hoping for the best, with your data pulled in the background and no easy way to see or stop it. Akoya built on explicit permission, so customers could see exactly what they're sharing and revoke it whenever they choose. The real product wasn't the data pipe. It was giving people authority over their own financial lives. Recognizing that same instinct was what drew Greg to SERHANT. in the first place. Where Akoya put power back in the hands of the consumer, SERHANT. is putting it in the hands of the agent. The mission that now drives him is straightforward: build tools that make the individual agent more capable, more efficient, and more free to do the most important aspects of the job. That's where S.MPLE comes in. S.MPLE 2.0: Real Estate's First AI Chief of Staff S.MPLE is an AI-native platform built to take the operational weight off agents so they can spend their time where it matters, with clients. Real estate agents lose enormous portions of their day to administrative work: coordinating transactions, chasing paperwork, managing listings, following up. S.MPLE absorbs that load. And if S.MPLE 1.0 was a task machine, S.MPLE 2.0 is an outcome engine. For years, real estate technology has followed one pattern: give the agent another tool, another login, another dashboard to operate. The issue? Too many tools that were too disparate. Agents lost so much time learning every new thing that the tools became a hindrance rather than a help. Instead of handing agents more software, S.MPLE 2.0 does the work itself, orchestrating dozens of specialized AI agents and tools to execute real estate jobs across an agent's business, from comparative market analyses and listing presentations to marketing campaigns, transaction coordination, financial reporting, compliance, and client follow-up. All the agent has to do is describe an outcome to its AI chief of staff, Dot. Ask Dot to prepare for a listing appointment, and Dot will research the market, pull comparables, analyze pricing, build the presentation, apply the agent's branding, and review every page against applicable compliance rules. Work that once meant bouncing between systems, departments, and separate requests now happens from one instruction. Shaped by Greg's Proven Playbook Under the hood, S.MPLE 2.0 reflects the principles Greg has carried throughout his career. Its anticipation engine runs on durable execution, so longer-running workflows keep going in the background and resume the moment new information arrives - reflecting the same "can't-go-down" mindset he brought to payments at Amazon. Compliance isn't a separate check after the fact: S.MPLE reviews its own work against the major regulatory regimes, including the Fair Housing Act, RESPA, and the Sherman Act, as part of doing the job. And the platform is trained on SERHANT.'s own deals, coaching, and Sell It education platform, so it reflects how top agents actually close in the real world, not how a software company imagines they do. A Company Built to Move SERHANT. is growing 100% year over year, entering new markets every month, and now spans more than 2,000 agents across 20 states nationwide. For a technologist who spent 25 years building for the largest companies in the world, it's the chance to build something that makes a measurable difference in one person's day, thousands of times over. About Greg Chan Greg Chan is Chief Technology Officer of SERHANT., the AI-native real estate company, where he leads development of S.MPLE, the company's proprietary AI platform, including the launch of S.MPLE 2.0. He brings 25 years of technology leadership across Microsoft, Amazon, and fintech and enterprise SaaS startups. At Microsoft he helped deliver core Office products. During a decade at Amazon he held leadership roles across Amazon Payments and the Prime delivery and shopping experience, launching global payment products and building high-scale platforms. He later served as VP of Engineering at a fintech and B2B startup, and most recently as Chief Technology Officer at Akoya, where he scaled its financial data access network and launched a new open finance solution for major financial institutions. He is a board member of the Center for Disaster Philanthropy and holds an MBA from the MIT Sloan School of Management.

New PropTech trends transforming real estate tech today. By E-A-A / October 9, 2026 This blog post explores the latest waves of PropTech innovation sweeping across the real estate industry, highlighting high-profile technological implementations. From groundbreaking artificial intelligence avatars to advanced fraud protection and streamlined association platforms, technology continues to reshape daily operations for professionals. Readers will discover how major industry figures and platforms are leveraging new tools to maximize efficiency, safeguard consumer trust, and expand market reach. These advancements signal a major shift toward automated, scalable systems designed to support modern brokerages and associations alike. Table of Contents AI avatars and expanded CRM platforms. The intersection of personal branding and artificial intelligence reached a new milestone when SERHANT Founder and CEO Ryan Serhant teamed up with HeyGen. By utilizing an AI avatar modeled directly on his voice and likeness, the newly launched social channel @HeySerhant delivers daily leadership advice and market perspectives without requiring him to stand in front of a camera every single day. Scaling content and homeowner engagement. While Serhant meticulously reviews and approves all messaging themes, the generative video technology handles the heavy lifting of consistent publishing. You can learn more about how modern tech influences property marketing by exploring its home design guides. Concurrently, real estate platform Ruuster announced the rollout of Ruuster 2.0 to pivot its primary utility beyond simple homebuyer lead generation. The upgraded ecosystem introduces specialized features like "My Home" alongside dedicated seller tools to help agents monitor local market conditions and track ongoing mortgage details. Fraud detection and association infrastructure. As digital transactions multiply, data security and infrastructure scalability remain paramount for industry longevity. Regional databases are adopting proactive measures to protect their members from evolving cyber threats. Combating scams and upgrading portals. To combat widespread digital deception, Property Shield partnered with SmartMLS to roll out automated listing fraud detection tools for over 20,000 Connecticut members. The system continuously scans the web for duplicate property details and initiates rapid takedown sequences for verified fraudulent listings. Meanwhile, large-scale associations are modernizing their foundational web architecture to support massive membership volumes seamlessly. For those interested in studying how structural frameworks have evolved, check out its curated historical architecture archives. Texas Realtors successfully transitioned its massive consumer and member web presence to the TaliCMS infrastructure built by Dazlab. This transition effortlessly unifies login procedures and system synchronization for more than 146,000 active state members. Additional Reading:

SERHANT launches AI avatar; Ruuster unveils unified platform. This post was originally published on this site. The brokerage said it will publish original content using Serhant's voice and likeness. Plus, Texas Realtors revamps website; Property Shield, SmartMLS partner.