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The Listing Bits Podcast is now available on your favorite podcast player!
OverviewGreg Robertson is joined by Dominik Pogorzelski from Restb.ai to discuss the evolution of AI in real estate—from early photo tagging to large-scale property intelligence. They cover how AI is now embedded in MLS workflows, powering listing input, compliance, and valuation, while also exploring the challenges of scale, accuracy, and the future of AI in the industry.
Key Takeaways- Restb.ai has been AI-first from the start, building on early computer vision models before the current AI boom.
- Their tech automatically tags listing photos, generates captions, and flags compliance issues during listing input.
- AI is deeply integrated into MLS workflows, improving listing data quality and agent efficiency.
- Scale matters: they process ~1.5B real estate images per month, making speed, accuracy, and cost critical.
- Specialized computer vision models outperform general LLMs for image tasks at scale.
- Compliance is a key use case—detecting prohibited elements and AI-manipulated images in listings.
- New regulations around altered images are increasing the need for detection and transparency tools.
- Expansion areas include valuation, appraisal workflows, insurance, and broader property intelligence.
- Restb.ai – https://restb.ai/
- Contact: dominik@restb.ai
Aligned Showings — MLS-owned showing software built to simplify scheduling, improve communication, and keep MLS data where it belongs.
Giant Steps Job Board – Built for organized real estate and PropTech, not generic tech bros and recruiters who don't know what an MLS is.
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면책 조항: 이 페이지에 포함된 팟캐스트와 작품은 Greg Robertson에서 가져온 것입니다. 이 팟캐스트는 소유자의 재산이며 Listen Notes, Inc.와 제휴하거나 보증하지 않습니다.