Why most real-estate tech misses the point
Real estate runs on relationships, follow-ups, and timing. Most “proptech AI” is built by people who haven't sat in a sales-office meeting at 9 PM trying to chase a hot lead. We've built for residential developers, commercial brokerages, and PMS platforms — so we know which problems are worth automating and which aren't.
Ai in real estate is most valuable in the un-glamorous middle of the funnel: qualifying inbound, scoring intent, routing site visits, and getting the right document to the right party at the right time.
What we build
Production AI for our real-estate clients includes:
- Lead qualification voice agents via TalkTaro — calling 100% of inbound within 90 seconds, qualifying intent, booking the site visit.
- Listing intelligence — auto-tagging photos, generating descriptions, pricing recommendations from comparables.
- Valuation models — AVMs trained on local market data with confidence intervals, not just point estimates.
- Document automation — sale agreements, RERA filings, KYC packs — extracted, populated, and routed.
- Tenant operations for asset managers — maintenance ticket triage, rent collection, lease renewal forecasting.
Streamlining 5000+ real-estate transactions
Across our developer and brokerage deployments, the consistent pattern is this: 30–40% lift in lead-to-site-visit conversion, 50%+ reduction in document turnaround, and a sales team that finally trusts the inbound queue.
The hard work is the integration — RERA, CRM, telephony, document signing. We do that work.
Frequently asked questions
Does this work for residential and commercial?
Both. The lead qualification and document automation transfer cleanly. Valuation models are usually trained per-asset-class.
Can you integrate with our CRM (Salesforce / Sell.Do / LeadSquared)?
Yes — all the common Indian and global real-estate CRMs. Integration is part of the engagement.