# Page: /index # 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. --- Stop buying tools. Start closing the loop. Talk to our team: [Contact](/contact) · sales@titusos.ai --- # Page: /about # 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. --- # Page: /construction # Titus for Construction — Stop finding problems at punch list > The last mile from drawing → field → punch list. A misaligned rough-in caught on Day 1 is a 2-hour fix. Caught at punch list, it's a $50K tear-out. Right now, the only way you find out is when someone walks the site and happens to notice. Titus watches your entire site, 24/7. It knows your plans. It flags deviations in real time. It creates a visual record that protects everyone — GC, sub, and owner. ## Protect your subs, not just monitor them Nobody wants another surveillance system. Your subs want proof they built it right. When Titus confirms a sub built per spec and something goes wrong downstream, the data shows it wasn't their fault. Less rework cost for GCs. Less liability for subs. Everyone pulls toward the system. ## Plug into the tools you already use Connect your ProCore project and Titus automatically maps your plans to what's actually happening on site. Deviations flagged in real time. Progress tracked automatically. Daily reports generated without anyone lifting a clipboard. ## The visibility problem Productivity per construction worker is 30–40% lower than 1970 — while every other American industry tripled output. Your people work hard. Nobody can see the full picture fast enough to act on it. > "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 Monthly drone flights aren't enough. You need 24/7 eyes that never blink. ## What you get on Day 1 - Real-time progress tracking — no walk-throughs needed - Safety monitoring across every zone, every shift - Equipment tracking and trade coordination - Automatic daily and weekly reports for owner, GC, and subs - Errors caught before they compound into rework - A visual record that protects everyone on the project ## What you build toward - Full workflow optimization across trades - Digital twin of your active jobsite - Data-driven decisions on where automation makes sense - A centralized source of truth for the entire project lifecycle ## How it works — zero integration required 1. **Deploy** — Under a day per tower. No wiring, no integration, no disruption. 2. **Observe** — AI watches your site 24/7. Alerts, reports, and insights start immediately. 3. **Act** — First insights within 48 hours. Measurable ROI within the first quarter. [Contact us](/contact) — see what your site looks like with Titus. --- # Page: /manufacturing # Titus for Manufacturing — See your entire operation. Fix what matters. > The last mile from legacy equipment to operational AI — without rewiring a single machine. Your competitors are watching their floors with AI. They're finding waste you don't know you have. Every month without visibility, the gap gets wider. No wearables. No PLCs. No workflow changes. Deploy over a weekend, see results Monday morning. Everything processes on-device, on your network. Your data stays yours. ## The legacy equipment problem 70% of manufacturing equipment has no APIs, no connectivity, no way for software to understand it. You don't need to wire up a 30-year-old CNC machine. You just need to see it. Titus watches from the outside — no sensors bolted on, no PLC integration, no IT project. ## Why "smart factory" platforms failed They tried to wire up every machine. It turned into an 18-month IT nightmare before anyone saw value. We took the opposite approach. Don't touch the machines. Watch them. Get value on Day 1. ## Where it hits hardest The energy transition is pushing legacy lines harder than ever. Transformer core, magnet wire, power cable, machine shops — facilities asked to produce dramatically more on 20-year-old equipment. That stress is where visibility pays off fastest. ## Outcomes, not dashboards - Quality anomaly detection on legacy equipment — no sensors, no PLCs, no integration - Cycle time tracking by station, shift, and variant — automatic - Bottleneck identification you can act on today - Downtime root cause analysis that shows what happened, not just when - Clear picture of where automation saves money vs. where it's hype ## Build once, monitor from anywhere Every hour of observation builds a living digital replica of your facility. Walk your floor from your desk. Compare shifts side by side. **Reshoring without guesswork.** Capture how your overseas facility actually runs — not how the SOPs say it should — then replicate it here with the right automation in the right places. ## You don't run the software. We do. Our team monitors your facility and delivers weekly optimization reports — you get insights without headcount. Expert support from people who can already see what your cameras see. ## How it works 1. **Deploy** — No integration. No IT project. Your lines don't stop. 2. **Observe** — AI watches your operation 24/7. Alerts and insights from Day 1. 3. **Act** — We show you where you're losing time and money. You decide what to fix. [Contact us](/contact) — see what you're missing on your floor. --- # Page: /senior-care # Titus for Senior Care — Better care. Lower costs. Complete transparency. > The last mile between "we check on residents" and "we know they're okay." You can't hire enough caregivers. The ones you have are stretched thin. Families want proof their loved ones are safe — not just "we check on them regularly." Know the moment something goes wrong. Put staff in the right place at the right time. Give families transparency without invading anyone's privacy. ## Privacy isn't a setting. It's the architecture. No facial recognition. No stored video. Everything processes on-device — nothing leaves the room. The AI sees movement and activity, not faces and identities. This isn't surveillance. It's awareness. ## What you get - Fall detection faster than call buttons, more reliable than wearables - Staff routing and coverage optimization — right people in the right zones - Activity pattern changes that flag health concerns early - Family transparency dashboards — peace of mind without cameras in rooms - Compliance documentation that generates itself ## Built for portfolio operators We work with facility operators and portfolio owners to deploy across entire networks. Not one room at a time — your whole operation, unified under one system. ## How it works — zero integration required 1. **Deploy** — Non-invasive installation across your facility. No disruption to care. 2. **Observe** — AI monitors activity patterns 24/7 while preserving complete privacy. 3. **Act** — Faster response times, smarter staff allocation, better outcomes. [Contact us](/contact) — see how facilities are using Titus. --- # Page: /qsr # Titus for Quick-Service Restaurants — One system. From drive-thru to kitchen. > The last mile between five point-solutions and one operating picture. Drive-thru is 70% of your revenue. You've got one system for ordering, another for kitchen display, another for compliance — and none of them talk to each other. One system sees your entire operation and tells you where you're losing time and money. ## The honest pitch We're not replacing your crew with robots. We make your existing team faster, safer, and more consistent — and show you where a process change would actually pay off. ## What you get - Drive-thru queue monitoring and optimization - Kitchen bottleneck detection in real time - Order accuracy verification - Food safety compliance — glove checks, handwashing, temperature, hairnets — automatically documented - Staff allocation recommendations based on real-time demand patterns - One system instead of five point solutions ## Built for 5–50 location operators Multi-unit franchisees who feel the labor pain every day and can actually make decisions. If you're tired of stitching together tools that each solve one problem, this is for you. ## How it works — zero integration required 1. **Deploy** — Cameras installed across your location. No wiring to existing systems. No disruption. 2. **Observe** — AI monitors drive-thru, kitchen, and compliance 24/7. Alerts and insights from Day 1. 3. **Act** — Cut bottlenecks, improve accuracy, automate compliance documentation. [Contact us](/contact) — see what Titus looks like in a restaurant. --- # Page: /expert-support # Titus Expert Support — An expert is already watching > The last mile from "something's wrong" to "someone's on it." Today, when something goes wrong on your site: someone calls someone. Describes the problem over the phone. Waits for them to drive out. Hours lost. Maybe a full day. Now imagine this: something goes wrong, and a specialist who can already see your site through AI-powered cameras says, "I see it. Here's what to do." ## The problem in numbers - **800 hours** — average unplanned downtime per year - **26%** — of facilities use any kind of real-time monitoring - **Two-thirds** — can't visualize the condition of their most critical equipment You're paying for expertise that shows up after the damage is done. ## How it works 1. **Deploy** — Titus deploys the cameras. AI monitors your operation 24/7. 2. **Detect** — When something looks wrong — or when you call in — a domain expert is already watching your site. 3. **Guide** — Real-time guidance through the same cameras that monitor your operation. No phone tag. No driving out. No guessing. 4. **Learn** — Every problem solved becomes a pattern the AI recognizes next time. Problems solved once are solved everywhere across all your sites. ## Why this gets better over time Every expert interaction teaches the AI. The first month, humans handle most issues. By month six, the AI is flagging and often resolving problems before your team even notices them. But you still have experts on standby for the hard stuff. And you're still paying the same flat monthly rate — so the value just keeps going up. ## What it costs $2K–10K per month per site, depending on coverage and expertise level. No long-term contracts. Cancel anytime. Caterpillar and John Deere both run 24/7 remote monitoring centers for their biggest customers. We're making that capability available to every facility — not just the Fortune 500. [Contact us](/contact) — talk to us about Expert Support. --- # Page: /data-exchange # Titus Data Exchange — The substrate simulation doesn't have > For builders. The last mile from your model to a real factory floor. Every model trained on synthetic data eventually meets a real factory floor. That meeting is where deployments die. We capture the structured, multi-modal, continuously updated ground truth that closes the last mile from sim to real. Sourced from a live deployment footprint across construction sites, manufacturing floors, care facilities, and commercial kitchens. Spatially indexed. Temporally tracked. Semantically labeled. Delivered in formats your stack already understands. ## Why you can't skip this Synthetic data covers the easy 80%. We cover the 20% that breaks deployments. - **30-year-old conveyors.** Grease-stained labels. Unpredictable human movement. Variable lighting that changes by the hour. Synthetic data can't model what it's never seen. We capture the mess that real facilities actually are. - **Structured, not raw.** Every dataset is spatially indexed, temporally tracked, and semantically labeled. Delivered in standard formats — OpenUSD scenes, annotated point clouds, labeled video sequences, structured JSON. - **Continuously updated.** Most real-world datasets are one-time collections. Ours are continuously updated from live deployments. The data grows, evolves, and reflects how physical environments actually change. ## Who buys it - **Robotics companies** — Real-world spatial data from active facilities — the exact environments where robots will deploy. Available as OpenUSD scenes for direct import into NVIDIA Isaac Sim and Omniverse. - **World-model & digital-twin platforms** — Continuous ground-truth to stay calibrated. A persistent data stream that keeps your twin (or your latent world model) honest about how the real environment is changing. - **Insurance & risk modelers** — Pricing physical-world risk from observation data instead of claims data. Near-miss events, safety compliance rates, environmental conditions — captured continuously. - **Autonomous systems & AI researchers** — Diverse, large-scale, multi-modal training data from construction, manufacturing, and care environments. Consistent schema across all verticals — stop hand-rolling per-site collection. ## Data categories - **Construction** — Trade activity, material flow, equipment positioning, progress tracking, safety events. (OpenUSD, Point Clouds, Labeled Video, JSON) - **Manufacturing** — Machine cycles, operator workflows, material handling, quality events. (OpenUSD, Time-Series, Labeled Video, JSON) - **Facility operations** — Staff movement patterns, environmental conditions, incident detection (anonymized). (Anonymized Sequences, JSON, Aggregated Analytics) ## Data quality - **Three-tier labeling** — AI auto-labels first, human reviewers verify, precision geometric annotations added where needed. - **Consistent schema** — Same sensor platform, same labeling pipeline, same schema across all verticals. Train once, deploy everywhere. - **Continuously validated** — Labels are validated against real outcomes from the operational layer, not just annotator agreement scores. ## Formats & compatibility Delivered in standard formats: OpenUSD scenes, annotated point clouds, labeled video sequences, structured JSON. Native compatibility with NVIDIA Omniverse, Isaac Sim, and the Cosmos data-curation pipeline. ## Status Currently in private access. Onboarding the first cohort of data partners — robotics teams, world-model labs, and digital-twin platforms. [Apply for data access](/contact) · sales@titusos.ai --- # Page: /agents # 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. --- # Page: /careers # Careers — Help us make robots work everywhere Robot Houses is building the deployable sensing infrastructure that lets robots and AI actually live in the real world. Every building, factory, and facility — observable, optimizable, and automatable. ## Our philosophy Kind people who build. Big-org pedigree is a signal, not a requirement. We want builders who've shipped real systems that touch the physical world. ## Open roles - **Founding ML / Vision Engineer** — Core Platform · San Francisco / Remote. Build the perception models that make physical environments legible to AI. - **Founding Data & Infrastructure Engineer** — Core Platform · San Francisco / Remote. Design the data pipelines that process and structure spatial-temporal data at scale. - **Founding Hardware / Embedded Engineer** — Hardware · San Francisco. Build the sensor systems that capture the physical world in real-time. - **Construction Domain Lead** — Industry · San Francisco / Remote. Translate deep construction expertise into product requirements and go-to-market. - **Full-Stack Platform Engineer** — Product · San Francisco / Remote. Build the customer-facing platform that delivers perception intelligence to enterprise operators. Apply: sales@titusos.ai --- # Page: /contact # Contact — Let's talk Operators, partners, builders. Tell us what you're working on — we'll show you what we can see. Email **sales@titusos.ai** — Ethan Winchell, Founder & CEO, Robot Houses / Titus AI. Or use the [contact form](/contact). ---