Real Estate · Generative AI & RAG

Ask the lease, get the clause.

Retrieval across leases, society bye-laws, title documents and listing packs — returning the clause, the document and the date rather than a summary you can't verify.

  • Retrieval pipelines
  • Fine-tuned domain models
  • Multimodal (text · image · voice)
  • Eval + guardrails

What we build

Generative AI & RAG for real estate, specifically.

  • 01

    Lease clause lookup

    Break clauses, escalation terms, sublet permissions and maintenance obligations retrieved with the exact wording and its page.

  • 02

    Society and building rules

    Pet policies, renovation approvals and parking rights answered from the actual bye-laws, so an agent stops promising things the committee will refuse.

  • 03

    Portfolio-wide term search

    Which leases expire this year, which carry escalation caps — answerable across the portfolio without a spreadsheet somebody maintains by hand.

What we measure

  • Accuracy on an agent-graded question set
  • Citation correctness against the source document
  • Time to answer a tenant or buyer query

Instrumented in week one and reported weekly. These are the numbers the engagement is judged on — not a forecast of what they'll be.

Constraints

What has to be true in real estate.

  • 01

    The agent qualifies; a human sells

    It captures requirements, answers factual questions from the listing, and books the viewing. Negotiation and advice stay with a licensed agent — in most markets that's a legal boundary as well as a good idea.

  • 02

    Listing data is read live

    Availability, price and status come from your CRM at query time. Advertising a property that went under offer yesterday is a complaint, not a lead.

  • 03

    Consent and channel rules are built in

    Opt-outs are honoured across channels and quiet hours are respected — WhatsApp and telecom rules in India and the EU both make this a compliance matter, not a courtesy.

How it runs

The Generative AI & RAG engagement, step by step.

  1. 1

    Data inventory

    What docs / databases / APIs / feeds matter? What's PII vs public? What changes daily vs quarterly? We map it before writing code.

  2. 2

    Retrieval architecture

    Hybrid (BM25 + vector) retrieval, chunking strategy, reranking, citations. Tuned for your domain not a generic benchmark.

  3. 3

    Eval suite

    Real-world question set with golden answers. Faithfulness, context precision, latency. So you know when changes ship a regression.

  4. 4

    Guardrails

    Prompt-injection defense, PII scrubbing, refusal patterns, output schemas. Especially critical for customer-facing deployments.

  5. 5

    Production + iterate

    Cost-effective inference (caching, fallback models), monitoring, weekly eval reports. Fine-tune when the data justifies it.

Integrations

Systems we wire into for real estate.

  • Salesforce & HubSpot
  • Zoho CRM
  • MagicBricks, 99acres & Housing feeds
  • WhatsApp Business API
  • Twilio voice
  • Calendly & Google Calendar
  • DocuSign

FAQ

RAG for leases and property documents: your questions.

  • Our leases are scans of signed originals. Will this work?

    Yes, with OCR and layout-aware extraction — and handwritten amendments in the margin are the honest failure case. We report accuracy per document type before you rely on it.

  • Can tenants use it directly?

    Yes, scoped to their own lease and the building's public rules. Retrieval permissions are per-document, so a tenant cannot reach another unit's agreement.

  • Should I use RAG or fine-tuning?

    RAG for facts that change. Fine-tuning for style, format, or domain reasoning. Most production systems use both — and we'll tell you which mix is right after a 1-week discovery.

  • Can I use my own LLM (open-weights)?

    Yes. We work with Llama, Mistral, Qwen, and similar — useful for data residency, cost predictability, and air-gapped environments.

Contact

Talk to us about generative ai & rag for real estate.

Two or three sentences about the workflow you'd start with. We reply within one business day.

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We reply within one business day · NDA on request

admin@neuroxai.com · +91 70149 99768

Remote-first team across India · US · EU · HQ in Udaipur, India