# About — Robot Houses / Titus AI

> Making robots work everywhere. We close the last mile of physical AI.

The world is racing to deploy AI into physical environments — factories, warehouses, construction sites, care facilities. The models are getting better every month. The problem isn't the models. The problem is the gap between where AI is trained and where AI has to live.

We started Robot Houses to be the infrastructure that closes that gap. Titus is the product: deployable sensing that captures real-world ground truth, surfaces operational waste, and feeds the data layer underneath everything else being built in physical AI.

## The thesis — sim is not the bottleneck. Reality is.

Simulation gets robots and physical AI roughly 80% of the way to working. Synthetic data covers the easy cases: clean lighting, modeled physics, predictable agents. But every deployment that's ever failed has failed in the same place — the last 20%, where reality stops cooperating.

A 30-year-old CNC has no API. Lighting changes by the hour. Dust covers the labels. People walk through the workspace in ways no demo video ever captured. Edge cases compound. The model that worked in the lab walks into a real factory and freezes.

The fix isn't a smarter model. The fix is infrastructure that lets AI live in the real world — sensors that don't depend on legacy integration, edge compute that runs on-site, expert support that closes the loop, and data that compounds across every deployment.

That's what we build.

## Two sides of the same gap

**Operators** — Construction GCs, plant managers, facility operators, multi-unit franchisees. You've been told for ten years that observability would change your business. It hasn't. We start with the work that matters — finding the waste — and build toward the automation roadmap from there. From data to ROI in a quarter.

**Builders** — Robotics teams, world-model labs, agent frameworks, digital-twin platforms. Every model you train eventually meets a real factory floor. We capture the structured, multi-modal, continuously updated ground truth you can't get from sim — and we're building the API surface to make a physical environment queryable from your agent.

## Why now

- **AI that runs on a camera, not in the cloud.** NVIDIA Jetson Thor and on-device VLMs make real-time, multi-modal perception possible at the edge — no data leaves the building.
- **A labor shortage that isn't going away.** Every operator is being asked to do more with fewer people. They need leverage, not another dashboard.
- **Physical AI is finally a market.** Hundreds of robotics, world-model, and agent companies are racing to deploy. They all hit the same last-mile wall. Someone has to build the infrastructure underneath them.

## Founder

Ethan Winchell — Founder & CEO of Robot Houses. Building Titus alongside design partners in construction, manufacturing, and physical AI. Reach out: sales@titusos.ai.

A Robot Houses company. Built in San Francisco.