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OfferEngine — Real Estate AI Platform

Full-Stack AI Platform

A fully automated real estate acquisition platform that processes 2 million+ properties end-to-end: from MLS listing ingestion to automatic offer generation with contracts attached. Features a novel PyTorch neural network for cross-LLM normalization and a 2TB+ PostgreSQL database with sub-second query performance.

Project Screenshots
Offer Management Dashboard
Offer Management Dashboard
Campaign Dashboard — 2M+ properties
Campaign Dashboard — 2M+ properties
MLS Listing Processing
MLS Listing Processing
LLM-derived Property Analysis
LLM-derived Property Analysis
Cross-model LLM Normalization
Cross-model LLM Normalization
ML-powered Campaign Configuration
ML-powered Campaign Configuration
System Control Center
System Control Center

Impact & Results

Full automation: MLS listing → Delivered contract in 2 hours
2M+ properties analyzed with LLM-derived valuations
99.9% uptime with automated monitoring
50% reduction in AI processing costs through batch optimization

Challenges & Solutions

Challenge 1

Automating entire flow: MLS listing → signed contract with zero human touch

Solution 1

End-to-end pipeline: MLS → LLM → Comps → ARV → Repairs → Margins → Contracts → Email

Challenge 2

Managing 2TB of calculated field data with sub-second query performance

Solution 2

PostgreSQL optimization: partitioning, composite indexes, query optimization for 2TB+

Challenge 3

Incompatible scoring between LLMs (GPT-4 vs Claude) AND across different prompts

Solution 3

Novel PyTorch neural network mapping LLM outputs across models AND prompts (<100ms inference)

Challenge 4

Handling 7+ different MLS systems with wildly inconsistent data formats

Solution 4

Unified MLS provider abstraction layer with fallback sweep mechanisms

Technology Stack

Python 3.12 FastAPI SQLModel Celery PostgreSQL Redis PyTorch Docker Compose GCP GitHub Actions