Real Estate

AI that qualifies leads, values properties, and closes deals faster.

Lead copilots, valuation models, document automation.

Real estate AI has to work in a world of unstructured data — handwritten notes, scanned documents, inconsistent MLS records, and phone calls that carry more deal context than any CRM field. We've built AI systems for brokerages, proptech platforms, and mortgage companies that work in this reality.

Use cases

Lead qualification AI

Intent scoring that prioritizes the 15% of leads that will transact in the next 90 days — so your agents spend time on deals, not dead ends.

Automated valuation models

Hybrid AVM combining comparable sales, market trends, and property-specific features — calibrated against your local market, not a national average.

Document automation

Contract analysis, disclosure extraction, and form completion that cuts hours of manual paperwork per transaction.

Intelligent property search

Natural language search that understands lifestyle intent ('walkable neighborhood, good schools, home office space') and maps it to listings.

AI listing copilot

Listing description generation, market positioning recommendations, and comparable selection — in your brokerage's voice.

Transaction coordination AI

Deadline tracking, document completeness checks, and stakeholder communication automation that cuts transaction coordinator workload.

Why Evolve Edge

Unstructured data expertise Real estate data is messy. MLS records, tax documents, inspection reports, and handwritten notes — we extract structured intelligence from all of it.

Lead intent modeling Intent scoring models trained on real behavioral signals: listing views, saved searches, inquiry patterns, and agent interaction history — not just demographic proxies.

Compliance-aware AI Fair Housing Act constraints built into every recommendation and valuation model. No proxy discrimination. Every model gets a fair housing audit before it touches a customer.

Evolve Edge team at work

Client perspective

Lead qualification accuracy went from gut feel to 62% precision. Our agents now spend their time on real buyers, not dead ends.

Tom NguyenVP Sales · Cityside Realty Group

FAQ

How do you ensure Fair Housing compliance in recommendation systems?
Protected class proxies removed from all model inputs, disparate impact testing across race, national origin, and familial status, and documented model cards available for regulatory review.
Can you integrate with our MLS data feed?
Yes. We've integrated with RESO-standard MLS feeds, CoreLogic, and proprietary property databases. Data normalization and deduplication are included.
How accurate are your AVMs?
Median absolute percentage error of 3–6% on typical residential markets, depending on local data density. We publish calibration metrics and flag low-confidence valuations.

Have Questions? Let's Talk.

Free 30 minute call with a senior engineer, not a salesperson. We have got the answers to your questions.