# Titus — Making robots work everywhere

> A Robot Houses company · Built in San Francisco

Simulation gets the world's robots and AI 80% of the way. The last 20% — the gap between "works in the lab" and "works on a 30-year-old line in variable lighting with people moving unpredictably" — is where every deployment dies. We close it.

Titus deploys real-world sensing infrastructure into the facilities robots need to operate in. We capture the messy ground truth, surface the waste, and feed the data layer that makes physical AI actually deploy. Drop a tower in the morning, see your operation by the afternoon.

## The Last Mile

Every deployment dies in the gap between sim and real.

- **Where it starts — Lab & Sim.** Models trained on synthetic data. Pristine pixels. Predictable physics. Demos that work every time.
- **The Last Mile — where Titus lives.** Real-world sensing infrastructure. Captured ground truth. Closed-loop deployment from observation to action.
- **Where it lands — Real Facilities.** 30-year-old equipment. Variable light. Dust. Unpredictable humans. The physics sim never modeled.

Every robotics company, every world-model lab, every "AI for industry" play has the same problem: the model works in sim, then dies on a real factory floor. Different lighting. Legacy machines that have no API. People moving unpredictably. Edge cases the training set never saw.

Operators have a parallel version of the same gap: data without action. Cameras everywhere, dashboards on every wall, and nobody can point to a dollar that got saved because of any of it.

Titus closes both versions of the last mile with one move: deployable sensing infrastructure that works on Day 1 and gets smarter every day after. No wiring. No PLC integration. No 18-month IT project. Just towers that see your operation, AI that understands what it's seeing, and experts who close the loop from observation to action.

For operators: from data to ROI in a quarter. For the AI ecosystem: the real-world data substrate that makes models stop being demos.

## What you get — one system, not five vendors

- **Safety & Compliance** — Hazard detection, PPE, compliance, incident alerts. Continuous, every zone, every shift.
- **Progress & Productivity** — Continuous task identification, workflow mapping, deviation detection. No clipboards.
- **Workforce Intelligence** — Who's where, what they're doing, whether the shift is staffed. Automatically. No wearables.
- **Automation Roadmap** — 24/7 scoring of every task for automation potential. Where to invest, with the data to prove it.
- **Expert Support** — A specialist already watching through the same cameras when something goes wrong.

Five problems. Five vendors. Five contracts. Or one platform from the same deployment.

## How it works — sensors → ROI in a quarter

1. **Deploy** — We drop towers on your site. No wiring, no integration, no disruption. Less than a day.
2. **Observe** — AI watches your operation 24/7. Alerts, reports, and insights start immediately.
3. **Act** — We show you exactly where you're losing time and money. You decide what to fix. We help you fix it.
4. **Compound** — Every site, every shift, every problem solved teaches the system. Month 6, it predicts what Month 1 only flagged.

## The longer it runs, the more it knows

Week 1, it catches things you'd miss on a walk-through. Month 3, it predicts problems before they happen. Month 6, it knows your operation better than anyone on your team — and never takes a day off.

Everything learns from everything: safety data sharpens productivity insights, workforce patterns improve automation scoring. One system, so it all compounds.

## Industries we serve

- [Construction](/construction) — Stop finding problems at punch list.
- [Manufacturing](/manufacturing) — See your entire operation. Fix what matters.
- [Senior Care](/senior-care) — Better care, lower costs, complete transparency.
- [Quick-Service Restaurants](/qsr) — One system from drive-thru to kitchen.

## For the AI ecosystem

Building physical AI? You're downstream of us.

- [Data Exchange](/data-exchange) — Real-world spatial data from active facilities. Structured for robotics teams, world-model labs, and digital-twin platforms. The substrate sim doesn't have.
- [For Agents](/agents) — An MCP and API surface so your agent can query a physical environment, scan a site, and pull deployment recommendations. Onboarding design partners now.

## Social proof

> "If I could track where every machine was and what it was doing every day, I'd cut 25% of my operating expenses."
> — Heavy civil operator running nearly 1,000 pieces of equipment across five states

Currently working with general contractors, heavy civil operators, and manufacturing facilities across the US.

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Stop buying tools. Start closing the loop. Talk to our team: [Contact](/contact) · sales@titusos.ai