Industry

AI for Real Estate & Construction Tech

Lead qualification, document handling and site progress tracking across long, paper-heavy sales cycles.

Capabilities
62
Regulations in scope
4
Systems integrated
4

The constraint that defines this sector

In real estate & construction tech, transactions are document-heavy and slow, and lead quality varies enormously. Everything we build here is shaped by that before it is shaped by the technology, the guardrails, the approval points and the evidence trail are design inputs, not things added before go-live.

We build the smallest thing that proves the case, put it in front of real users, and expand only what earns its keep.

Deployed across regulated and unregulated sectors, with audit trails where the regulator expects them. We hand over with runbooks, tests and a team that knows how it works, not a dependency.

Sector context

Defining constraint
transactions are document-heavy and slow, and lead quality varies enormously
Regulations in scope
RERA compliance · DPDP Act 2023 · stamp duty and registration requirements · building approvals
Systems of record
CRM · property management · ERP · document management
Where we usually start
lead qualification and routing

Workloads worth automating here

  • lead qualification and routing
  • title and agreement document review
  • site progress from imagery
  • customer service automation
  • RERA documentation

Capabilities for real estate & construction tech

Questions from this sector

Can it qualify leads reliably?

Yes, scored on your actual conversion history rather than a generic model, with conversational qualification before a site visit is scheduled.

What about title documents?

Extraction and consistency checking flag discrepancies for legal review. It accelerates review. It does not replace the lawyer's opinion.

AI in real estate & construction tech, where would you start?

Bring us the constraint, not the technology. We will tell you what is realistic under it.

Or email bd@dtrasglobal.com · call +91 74118 77878