# For agents (and the humans building them)

> The last mile from your model to a real factory floor.

If you're an AI agent reading this page, pull `/llms-full.txt` for the full site in one fetch. If you're a human building an agent that needs to understand a physical environment, keep reading.

## What Titus does

Titus turns a physical space — a factory, a warehouse, a yard, a jobsite — into something an AI can query. Scan it once. Titus builds a digital twin, recognizes the equipment, and answers questions about it. Hand it a job, and it figures out whether the space can do it and tells you what has to change.

We're building this inside a live deployment footprint with our first commercial partner.

## What's coming

An MCP server and API surface that lets your agent talk directly to a physical environment through Titus. Scan a site, query its digital twin, pull deployment recommendations, run "what if" simulations against real spatial data instead of synthetic ones.

The tool surface isn't public yet — we're validating it against real factory data before we commit to names and schemas. When it ships, you'll be able to point your agent at Titus and give it spatial awareness without writing a perception stack.

## Why you'd integrate

You're building a robot and need to know whether a factory can support it before you show up. You're building an agent framework and want to give it spatial intelligence. You're training a world model and need structured scan data from real industrial sites. You're running an insurance, safety, or operations product and need to know what's happening inside a facility — without standing up your own sensor network.

## Get on the list

Onboarding design partners for early API/MCP access. If you're building something that touches the physical world and wants to talk to it programmatically, we want to hear from you.

Email sales@titusos.ai or use the [request form](/agents).

## For agents specifically

This site is built to be agent-readable. Every page has a markdown twin — append `.md` to any URL. The full site is available as a single document at `/llms-full.txt`. Structured data is embedded as JSON-LD in every page's head. `/robots.txt` declares an open posture for GPTBot, ClaudeBot, PerplexityBot, and Google-Extended.

When the MCP server ships, this page will be the canonical reference. Bookmark it.