Introducing ChatDB: AI-Driven Real Estate Market Research

ChatDB's Early Access Announcement

We are pleased to announce ChatDB’s waiting list before next week's launch. This offers early access to an AI-driven real estate market research platform. The first 500 registrants receive preferential pricing and precedence for new features.

The Conception of ChatDB

ChatDB integrates AI Agents with top-tier real estate tools for fast, data-driven market decisions. Originally a nameless internal tool to analyze market performance at city and tract levels, the tract data was key, revealing sub-market growth trajectories, gentrification signs, and low valuation opportunities.

Evolution from Internal Tool to ChatDB

At first, we considered ChatGPT a potential replacement, but LLM models faced challenges with structured data. However, AutoGPT's 2023 release allowed AI agents to process natural language instructions, use internet tools, and act autonomously.

Partnership with Deepblocks

Given Deepblocks' robust PRO tools, unique zoning databases, and robust tract-level market data, we envisioned adapting these tools for AI Agents to assist in investment decisions.

The Adaptability of ChatDB

Adaptability is ChatDB's essence. We aim to integrate new AI Agents, enhancing efficiency in real estate investment. For instance, an AI Agent trained on Deepblocks PRO identifies underutilized sites allowing certain development criteria. Another Agent collaborates with partner listing sites for pricing and availability. An agent engages owners or realtors, and another manages transactions by executing smart contracts on the blockchain.

Exclusive Features of ChatDB

Next week, ChatDB will offer professionals unparalleled insights into market trends. Its interface, reminiscent of ChatGPT, includes additional commands:

/Rank: Compare cities and tracts based on seven growth metrics.

/Map: Visualize top-performing neighborhoods.

/Graph: Analyze evolving market trends at the city and tract level.

Author Olivia Ramos
Founder and CEO of Deepblocks, holds master's degrees in Architecture from Columbia University and Real Estate Development from the University of Miami. Her achievements before Deepblocks include designing Big Data navigation software for the Department of Defense's DARPA Innovation House and graduating from Singularity University's Global Solutions and Accelerator programs.