Rigid filters forced buyers to act like admins. Now, they describe a "cottage feel," and AI scans millions of listings to find a match.
The operator of the most-visited real estate brokerage website in the U.S. manages millions of property listings for homebuyers with complex, subjective preferences.
Traditional search interfaces forced users to act like database administrators, relying on rigid filters and hard boundaries that could not capture...
Technology-powered residential real estate brokerage and home-buying platform.
AI agent platform for autonomous enterprise customer service.
Redfin's Real estate search is part of this use case:
Related implementations across industries and use cases
Remote work trapped data in silos. AI now indexes 138M docs, enabling agents to draft reviews and build incident timelines.
Sellers hid numbers to dodge spam. Now, a voice agent answers 24/7, vetting leads in natural Italian to capture serious buyers.
Agents manually tracked fragmented lead data. Now, AI guides physical tours, answers questions, and syncs directly to the CRM.
Agents manually tracked fragmented lead data. Now, AI guides physical tours, answers questions, and syncs directly to the CRM.
With 41% of inquiries arriving after hours, leasing teams couldn't keep pace. Now, AI manages 24/7 prospect and delinquency outreach.
Data silos blocked real-world simulation. Now, teams validate site physics and safety risks on a unified digital twin.
A fragmented tech stack created cumbersome workflows for agents. Now, AI automatically routes cases, slashing first response time from 144 to 34 mins.
A 200% yearly data expansion bottlenecked global operations. Now, AI accelerates coding, drafts recipe cards, and resolves inquiries.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.
Rigid filters forced buyers to act like admins. Now, they describe a "cottage feel," and AI scans millions of listings to find a match.
The operator of the most-visited real estate brokerage website in the U.S. manages millions of property listings for homebuyers with complex, subjective preferences.
Traditional search interfaces forced users to act like database administrators, relying on rigid filters and hard boundaries that could not capture...
Technology-powered residential real estate brokerage and home-buying platform.
AI agent platform for autonomous enterprise customer service.
Redfin's Real estate search is part of this use case:
Related implementations across industries and use cases
Remote work trapped data in silos. AI now indexes 138M docs, enabling agents to draft reviews and build incident timelines.
Sellers hid numbers to dodge spam. Now, a voice agent answers 24/7, vetting leads in natural Italian to capture serious buyers.
Agents manually tracked fragmented lead data. Now, AI guides physical tours, answers questions, and syncs directly to the CRM.
Agents manually tracked fragmented lead data. Now, AI guides physical tours, answers questions, and syncs directly to the CRM.
With 41% of inquiries arriving after hours, leasing teams couldn't keep pace. Now, AI manages 24/7 prospect and delinquency outreach.
Data silos blocked real-world simulation. Now, teams validate site physics and safety risks on a unified digital twin.
A fragmented tech stack created cumbersome workflows for agents. Now, AI automatically routes cases, slashing first response time from 144 to 34 mins.
A 200% yearly data expansion bottlenecked global operations. Now, AI accelerates coding, drafts recipe cards, and resolves inquiries.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.