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The Agency builds proprietary AI platform for luxury real estate agents

The Agency, a global luxury real estate brokerage, is developing an in-house AI platform combining open-source and commercial models like OpenAI’s and Anthropic’s. The system consolidates data from MLS listings, transaction management, brokerage financials, and internal communications into a single, secure interface. Zane Burnett, EVP of digital strategy, emphasizes control over data, citing…

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Key points

  • The Agency combines open-source and commercial AI models in a proprietary platform for its 4,000+ agents
  • Platform consolidates MLS, transaction, and brokerage data into one secure, conversational interface by Q1 2027
  • Self-hosting sensitive data avoids reliance on third-party AI labs like OpenAI or Anthropic, per EVP Zane Burnett

The Agency claims its hybrid model—self-hosted open-source LLMs alongside commercial models—sets it apart from competitors like Compass, eXp Realty, and Real Brokerage. Burnett highlights the company’s luxury client data and proprietary architecture as key differentiators. The platform aims to streamline workflows, reducing the need for agents to navigate multiple tools, and improve retention by making work more efficient. The Agency will formally unveil the platform at its leadership summit in Miami in November.

Full story from inman.com · via Search: OpenAIOpen source ↗

‘A steering wheel, not a dashboard’: Inside The Agency’s in-house AI build (EXCLUSIVE)

inman.com · 22 October 2026

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This text was published by inman.com. It is reproduced here with attribution so you can read it in full; the rights remain with the publisher. Read it at the source ↗

Topics · follow one to build your own front page
The AgencyOpenAIAnthropicCompass International HoldingseXp RealtyReal BrokerageZane BurnettMauricio UmanskyLeo Pareja

The headline, key points and digest above were generated by Digest AI's editorial model from the linked sources. Automated summaries can contain errors: the sources are the record. Spotted a mistake? Tell us. Published by Martin K., who runs Digest AI and handles corrections.

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