For Brokerages & PropTech

Fast track your AI journey with our trustworthy and plug-and-play data. Our purpose built MCP and API servers enable you to build agents in days, not months.

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Build AI Agents in Days, Not Months

Fast-track your AI journey: stop trying to build complex GIS infrastructure in-house. Every brokerage is asking the same question — how do we add AI before our competitors do? The answer is a reliable data layer that your AI agents can actually use.

Jump Straight to AI

Your AI agents need real-world context to be useful. Skip months of GIS infrastructure and plug our data directly into your AI stack via MCP or REST API.

Automate at Scale

From CRM lead enrichment to automated buyer reports, replace manual research with data-driven workflows that run across your entire brokerage network without adding headcount.

Scale Without Limits

Whether you are building an in-house tool or a SaaS product, iHuus provides the structured, reliable neighborhood data layer your applications need to grow confidently.

What you actually get

iHuus isn’t another data vendor. It’s a complete Neighborhood Intelligence layer that makes your AI and automation initiatives actually work. Here’s what you unlock:

  • Build AI Agents in Days, Not Months: Skip the GIS technical debt and use our Neighborhood Intelligence APIs to build custom, hallucination-free AI assistants for your workforce in a fraction of the time.
  • Drive Efficiency with the Right Data: Automate the buyer’s journey and warm up your CRM leads by integrating our performant neighborhood data directly into your platforms.
  • MCP-Native from Day One: Your AI orchestration tools already understand Model Context Protocol. iHuus plugs in natively — no custom parsers, no prompt engineering around hallucinated geography.
  • Keep Your Team Small: Data operations that used to require a GIS team and weeks of research happen automatically. Your agents focus on deals, not data entry.

How to integrate

Three ways to bring iHuus into your stack — from a quick API call to a full MCP server setup.

REST API

Programmatic access to our Neighborhood Intelligence engine. Query geospatial scores and context for any US location.

MCP Server

Plug iHuus directly into Claude, GPT-4o, or any LLM via Model Context Protocol for structured, hallucination-free neighborhood context.

Comprehensive Docs

Guides, API references, and SDK examples hosted on Mintlify. Get to your first API call in minutes, not days.

How the data layer works

Building a chat interface is easy, but grounding it in physical reality is hard. Neighborhood data is scattered across petabytes of satellite imagery, noise rasters, and civic records. Until now, teams of GIS engineers were processing this data at a snail's pace — creating massive technical debt and hallucination risk when fed raw into LLMs, especially under strict Fair Housing laws.

iHuus bridges the gap between raw physical-world data and agent-ready intelligence via two core primitives:

  • Neighborhood Intelligence Index: A performant index that lets applications and agents instantly narrow down their problem scope. Instead of scraping rumors, your systems query hard facts — school board budget cuts, noise decibels from a nearby flight path, sightline privacy scores — delivered as FHA-compliant data in milliseconds.
  • Neighborhood Intelligence Context: Data is only useful if an AI can actually understand it. We format our NI for immediate agentic reasoning by structuring context specifically for Tree-of-Thought processes — empowering agents to draw logical, trustworthy conclusions about local risks and amenities without hallucinating. Our async research tools fill any remaining gaps in a compliant way.

Ready to Integrate?

From prototyping as a startup to scaling enterprise AI agents, we have flexible plans to help you build the future of real estate tech.

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Partner With Us

We are actively onboarding enterprise partners for early access. Contact us to discuss custom data integrations, our roadmap, and preferential pricing.