Skip to content
Karmyug

Listing, imagery and conversation data for valuation, search and agent assistants.

Property imagery, floor plans, listing text and agent conversation data.

Property data is unusually inconsistent: the same three-bedroom flat is described five different ways across five portals, and the photographs are taken by whoever had a phone.

We normalise attributes against a taxonomy you define and annotate imagery to the same schema across markets, so a model trained in one city transfers to the next.

Where AI is being applied in real estate

The applications teams actually come to us for, rather than the full theoretical list.

  • Property imagery

    Room type, condition and feature tagging across listing photos.

  • Floor plan parsing

    Room boundaries, dimensions and fixtures extracted from plans.

  • Listing text extraction

    Attributes normalised from free-text descriptions.

  • Document processing

    Agreements, title documents and rent rolls digitised.

  • Agent conversation

    Enquiry and viewing dialogue for assistant training.

  • Condition assessment

    Damage and wear labelling for survey automation.

Data security and compliance

The controls your risk team will ask about, before they ask.

  • GDPR

    EU data subject rights and DPAs

  • CCPA

    California consumer privacy

  • DPDP Act 2023

    India data protection, in-region storage

Real estate questions

Can you work across multiple countries?

Yes. Attribute taxonomies are mapped per market so the delivered schema stays consistent.

Do you handle listing documents?

Yes, under the same document AI workflow with PII redaction verified before delivery.

Power your real estate AI with data you can audit.

Start with a pilot batch against your real guidelines. You accept it before anything scales.