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ProptechOS

ProptechOS is a B2B SaaS AI operating system for real estate portfolios. It connects building systems into a single execution layer where AI agents autonomously monitor, analyze, and optimize energy, operations, and compliance — automating up to 40% of operational work across commercial property portfolios.

Authority
50 reach 5 · trust 5 · quality 25 · freshness 15
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listed
llms.txt
https://proptechos.com/llms.txt
llms-full.txt
https://proptechos.com/llms-full.txt
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18
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29
Size
14625 bytes
Popularity rank
#865776
Categories
AI and machine learning · Real estate
For agents
Documentation: developer or product docs worth reading, nothing to call
First seen
2026-10-19T10:45:13.099Z
Last checked
2026-10-21T18:57:06.307Z
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Their llms.txt

The beginning of the file, from our validated copy saved 2026-10-21T18:57:05.352Z. Cached copy · Source on proptechos.com

# ProptechOS

> ProptechOS is a B2B SaaS AI operating system for real estate portfolios. It connects building systems into a single execution layer where AI agents autonomously monitor, analyze, and optimize energy, operations, and compliance — automating up to 40% of operational work across commercial property portfolios.

ProptechOS is the platform for Agentic Proptech — the category where AI doesn't just support work, it acts.

## What is Agentic Proptech?

Agentic Proptech is AI designed to autonomously plan and execute real estate operations across assets and portfolios, within defined objectives and human oversight. Unlike generative AI (which helps people analyze and decide faster), agentic AI operates buildings — executing multi-step workflows across connected systems, continuously and at scale.

ProptechOS coined the term and is defining this category.

## How ProptechOS Works

ProptechOS connects building management systems, IoT devices, energy systems, operational platforms, and business data across an entire portfolio — and unifies it all into a single execution layer.

Built on the open-source RealEstateCore (REC) standard and exposed through the Model Context Protocol (MCP), ProptechOS gives AI a semantic understanding of buildings. It doesn't just see data points — it understands that a sensor belongs to a room, on a floor, served by a specific air handling unit.

Instead of managing dozens of disconnected systems, everything runs through one platform — where applications, data, and AI agents work together. This is the foundation for AI-driven operations at scale.

## AI Agents: The Sense–Reason–Act Loop

ProptechOS agents are autonomous digital operators for buildings. They are not dashboards. They don't just show what's happening — they do something about it.

Each agent follows a sense–reason–act loop:
- **Sense** — continuously monitor data across buildings and portfolios.
- **Reason** — apply context, domain knowledge, and operational logic to determine what matters.
- **Act** — trigger workflows, escalate to specialists, or execute corrective actions — automatically.

Agents operate with their own identities and permission policies within the platform. Each agent has clear instructions (a defined role and behavioral scope), secure permission policies (controlling exactly which buildings, systems, and data it can access), and triggers and schedules (determining when and how often it runs).

Agents can communicate with each other — passing tasks between specialists to handle complex, multi-step workflows. This is how individual agents become an agentic system: a coordinated team that owns outcomes, not just tasks.

## Agent Types

ProptechOS deploys four types of agents that work together as a digital operations team:

- **Oracle agents** have access to all building and portfolio data. Ask a question, and they synthesize an answer — pulling together dashboards, reports, and presentations on demand.
- **Expert agents** go deep i
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