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Amazon Bedrock Consulting

AWS Bedrock for Real Estate & PropTech

We build AI-powered real estate tools using Amazon Bedrock — automated property descriptions, intelligent search chatbots, and market analysis reports that save agents hours of manual work.

  1. A use case is scoped against real data.
  2. The model runs on Amazon Bedrock.
  3. A knowledge path retrieves from your sources.
  4. Guardrails apply policy and filters before output leaves.
  5. A named owner reviews anything that reaches customers or records.
  6. The feature ships inside the existing application.

Key Challenges We Solve

Listing Description Quality

Writing unique, compelling property descriptions for every listing is time-consuming for agents. AI can generate high-quality descriptions from property features.

Natural Language Search

Buyers want to search naturally — "modern condo near good schools under $400K" — not fill in filter dropdowns.

Market Analysis

Generating CMA reports, market summaries, and investment analysis from property data requires expertise and time.

Multilingual Support

Real estate markets serve diverse populations that need property information in multiple languages.

Our Approach

AI Property Descriptions

Bedrock generates unique, compelling listing descriptions from property features, photos, and neighborhood data — saving agents 30 minutes per listing.

Conversational Property Search

Natural language search powered by Bedrock that translates buyer intent into structured property queries with OpenSearch integration.

Automated Market Reports

AI-generated market analysis reports by neighborhood, price range, and property type — with data visualizations and trend commentary.

Frequently Asked Questions

How good are AI-generated property descriptions?
Bedrock-generated descriptions are publication-ready for 80-90% of listings. They highlight key features, neighborhood amenities, and selling points. Agents review and customize the output, which takes 5 minutes vs. 30 minutes for writing from scratch.
Can AI handle natural language property search?
Yes. Bedrock converts natural language queries like "3 bed house with pool near downtown under $500K" into structured search parameters, then returns results ranked by relevance. This provides a more intuitive search experience than traditional filter-based interfaces.
What does Bedrock cost for real estate AI?
Generating a property description costs $0.01-$0.05 per listing. A platform generating descriptions for 10,000 listings/month spends $100-$500 on Bedrock — far less than the agent time saved.

Ready to Get Started?

Talk to our AWS experts about aws bedrock for real estate & proptech.