AI firm HUMXN offers free plumbing and HVAC service in Minnesota to train robots

MINNEAPOLIS, Minn. — October 6, 2026 — HUMXN, an AI data and training company, today announced the launch of a new program that will pay for qualifying home-service appointments in exchange for the opportunity to turn real-world skilled labor into training data for artificial intelligence and robotics. Through partnerships with home-service companies in Minneapolis, Chicago, and Miami, HUMXN is subsidizing select plumbing, electrical, HVAC, air-duct cleaning and carpet-cleaning appointments at no cost to participating homeowners. The program is built around a simple idea: as AI moves from computers into the physical world, robotics companies need large amounts of high-quality data showing how skilled professionals actually perform real tasks. A plumber diagnosing a leak, an electrician tracing a fault or an HVAC technician troubleshooting a system can generate valuable examples of human perception, decision-making, tool use and physical problem-solving. HUMXN is helping turn those everyday jobs into structured datasets for AI and robotics development. “The next generation of AI is going to need more than text and images from the internet,” said Thomas Unise, founder of HUMXN. “Robots need to understand how skilled people interact with the physical world. Home-service technicians perform millions of highly technical tasks every day. We are creating a way for homeowners and service companies to benefit financially from the value of that expertise.” Turning Real Work Into Robotics Training Data Under the program, participating technicians complete normal service calls while using wearable capture technology designed to document the work from the technician’s perspective. HUMXN then works to transform those professional demonstrations into training datasets that can be used by AI and robotics organizations developing systems capable of understanding and eventually performing physical-world tasks. The approach allows HUMXN to collect something that is difficult to reproduce inside a laboratory: large numbers of authentic skilled-work examples across different homes, equipment types, problems, technicians and environments. A service call can show not only the finished repair, but the process behind it — what the technician examines, what they test, which tools they choose, how they respond when conditions change and how they determine that a job has been completed successfully. For robotics developers, that sequence can be far more useful than a simple instructional video or written manual. Why HUMXN Is Paying for the Service HUMXN’s model introduces a new source of value into the traditional home-service transaction. Normally, a homeowner pays a contractor to complete a job. Under HUMXN’s program, the professional work can also contribute to a commercially valuable AI training dataset. That additional value allows HUMXN to subsidize qualifying appointments. The result is a three-sided model: Homeowners receive qualifying services at no cost. Home-service companies are paid for the work. AI and robotics companies gain access to difficult-to-source real-world training data. HUMXN believes the model could create a new way for skilled trades and ordinary households to participate directly in the rapidly growing AI economy. Starting in three Major U.S. Markets The initial program is being rolled out through participating service providers in: Minneapolis Chicago Miami HUMXN plans to expand into additional markets and skilled-service categories as demand for physical-world training data grows. The geographic diversity of the program is intentional. Different cities expose AI systems to different climates, building types, equipment, service conditions and real-world edge cases. An HVAC technician working in Miami may encounter very different systems and problems than one working in Minneapolis. A plumbing job in an older Chicago property may differ substantially from one in Miami. For AI and robotics training, those differences are valuable. Building the Data Layer for Physical AI HUMXN works with companies, experts and operators to source and develop specialized datasets for AI training and evaluation. The company focuses on data that is difficult to obtain from public sources, including expert workflows, operational data and real-world human demonstrations. The home-service program represents an expansion of that model into physical AI and robotics. “There are millions of skilled workers performing incredibly complex tasks every day, but very little of that expertise exists in a format that AI systems can learn from,” Unise said. “We want to build the infrastructure that connects that knowledge with the companies building the next generation of intelligent machines while making sure the people creating the value participate in the economics.” As robotics companies race to build systems capable of operating outside controlled environments, HUMXN expects demand for real-world task data to increase across industries including home services, construction, manufacturing, logistics, automotive repair and other skilled trades. For homeowners, however, the proposition is much simpler: Need a plumber, electrician or HVAC technician? HUMXN may pay the bill. About HUMXN HUMXN is an AI data and training company that helps AI and robotics organizations source difficult-to-obtain, high-value training data. HUMXN works with businesses, domain experts and real-world operators to develop specialized datasets, expert networks and evaluation programs for advanced AI systems. Learn more at humxn.io. Media Contact HUMXN press@humxn.io humxn.io