The Listing Bits Podcast is now available on your favorite podcast player!
Overview
Greg 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.
Links
Sponsors
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.
Production and editing services by:
Sunbound Studios
