Brokers, developers, marketplaces, scraped sources. Same property, six listings, three prices, two coordinates.
Leads decay in minutes. Agents that don't see the right lead in <60 sec lose the conversion.
Photos, drone shots, walkthroughs, 360° tours. Editing, tagging, hosting — most operators do this manually.
Sale-agreement, NOC, registry, loan documents — every stage has a paperwork bottleneck.
Connectors across MLS / scraped feeds / broker ERPs. AI dedupe on title + coordinates + image-similarity. One canonical listing per property.
Intent-scored lead classification, agent matching by neighbourhood / language / specialty, sub-minute routing.
Auto-tagging on photos / video, 360° stitching, hosted virtual tours embedded in your listing pages.
Document checklist agents, registry-stage tracking, multi-language vendor comms. Move time-to-deed faster.
Multi-source ingest + image-similarity dedupe. 62% reduction in duplicate listings; canonical property model live across 14 cities.
Intent-scored classifier + neighbourhood-aware agent matching. Sub-minute routing live, 2.6× contact-rate vs round-robin baseline.
Yes — we've integrated with Zoho, Salesforce, HubSpot, and a dozen India-built broker CRMs. Two-way sync, idempotent writes, audit trail.
Yes — Magicbricks, 99acres, Housing.com, Meta Lead Ads, Google. The classifier + router treats them all uniformly.
We model RERA fields per state, store evidence for every transaction-stage change, and surface compliance gaps to the listing agent before they go live.