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AI for Real Estate: Self-Hosted

Self-hosted AI for real estate — listing description gen, market analysis, property image enhancement. SMB-scale economics.

Table of Contents

  1. Workloads
  2. Stack
  3. Verdict

Real estate AI workflows are content-volume-heavy and visually rich: listing descriptions, market analysis, property image enhancement, virtual staging. The combination of SDXL for image work + 7B LLM for text + structured-output extraction makes this a strong fit for self-hosted SMB infrastructure.

TL;DR

Stack: Mistral 7B FP8 (descriptions, summaries) + SDXL + brand LoRA (image enhancement, staging) + BGE-large for property search on 4090. ~£289/mo serves an estate agency or PropTech SaaS at SMB-to-mid scale. ~£0.0001 per listing description vs ~£0.05 hosted at scale.

Workloads

  • Listing descriptions: from property attributes + photos → brand-voice listing copy
  • Market analysis: comparable properties + price trend summarisation
  • Image enhancement: SDXL-based virtual staging, sky replacement, lighting correction
  • Property search: semantic search over listing database (BGE embeddings)
  • Buyer / tenant Q&A: chatbot grounded in property + neighbourhood data

Stack

  • Mistral 7B FP8: descriptions, summaries, Q&A
  • Brand-voice LoRA: agency-specific tone (~£10 of GPU time, real quality lift)
  • SDXL + IP-Adapter: virtual staging, image enhancement
  • BGE-large + Qdrant: property semantic search
  • Whisper (optional): voice-to-text for property notes / inspection records
  • Total VRAM: ~13 GB on 4090, comfortable

Verdict

For estate agencies + PropTech SaaS, single-4090 self-hosted covers the SMB-to-mid scale. £289/mo all-in for an entire AI tier of content generation, image enhancement, and search. Replaces ~£500-2,000/mo of typical hosted PropTech AI subscriptions.

Bottom line

4090 = real estate AI workhorse. See stock photography.

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