OfferEngine — Real Estate AI Platform
Automated real estate acquisition: MLS to contract in 2 hours
Project Summary
An automated real estate acquisition platform we built and operated for a client — processed 2 million+ properties end-to-end, from MLS listing ingestion through cross-vendor schema unification, address & entity normalization, dedup across re-list/withdraw/relist cycles, comp-based ARV, repair estimation, margin analysis, and automatic offer generation with contracts attached. Built on a 2TB+ PostgreSQL store with sub-second queries, and a custom PyTorch neural network for cross-LLM scoring normalization. The client's platform is no longer running live; the engineering — schema unification across 7+ MLS providers, MLS→contract automation, address/entity linking, and the cross-LLM scoring NN — is the basis for the real-estate-data work we do today.
Our role: Full-Stack Architecture & Engineering
What We Did
- 2M+ properties analyzed with LLM-derived valuations
- 2TB+ database with sub-second queries
- Full automation: MLS listing to contract in 2 hours
- Automated offer email campaigns with deliverability monitoring
- Novel neural network for cross-LLM normalization
Want this in your own workflow?
Tell us which process you'd start with. We map it, install the loop, and prove it before it widens.
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