Give Real Estate Teams AI That Remembers Every Client, Deal, and Property

Real estate work happens across weeks and months — client calls, property tours, offer negotiations, market comparisons. Every time you open a new AI session, that history is gone. You re-explain client preferences, re-paste market data, and rebuild deal context from scratch, while the client assumes you remember everything.

Client preferences that persist — Fact Memory stores each client's must-haves, deal-breakers, budget range, and preferred neighborhoods with source attribution. When a matching property comes up months later, your AI already knows the criteria.

Deal timelines that build automatically — Event Memory tracks every offer, counteroffer, inspection, and closing in chronological order. Ask your AI "where did the Hendersons deal stall?" and get a precise answer, not a blank response.

Full client conversation history — Conversation Memory makes every prior AI session permanently searchable. Pull up what was discussed with a buyer three months ago without digging through notes or email threads.

1. Connect — Link MemoryLake to your existing tools via REST API, Google Workspace, or Dropbox. Log client calls, property research, and deal notes directly into memory.
2. Structure — MemoryLake automatically assigns memory type: client facts go into Fact Memory, deal milestones into Event Memory, session notes into Conversation Memory.
3. Reuse — Any AI model you use — ChatGPT, Claude, Gemini — pulls from the same persistent memory. Client context follows you across every tool and every session.

MemoryLake is built for real estate agents managing active buyer and seller pipelines, brokers overseeing multiple agents and client relationships, and property analysts doing ongoing market research across neighborhoods and asset classes. If your work spans weeks or months and involves returning clients, persistent memory is not optional — it's the difference between professional recall and starting over.