Norra Is Solving a $15 Billion Waste Problem That Nobody in Tech Is Paying Attention To

The Macro: Nursing Facilities Are Hemorrhaging Money on Equipment Nobody Can Find

I did not know this was a $15 billion problem until I started looking into it. Skilled nursing facilities in the United States spend an astonishing amount of money on medical equipment that is lost, broken, redundant, or rented when it should have been purchased. Hospital beds, oxygen concentrators, wheelchairs, patient lifts. These are not cheap items, and nursing facilities manage hundreds of them across sprawling buildings with overworked staff and almost no technology infrastructure.

The typical nursing facility tracks equipment on paper or in a spreadsheet that is out of date the moment someone fills it in. When a nurse needs a wheelchair, they walk around looking for one. When a concentrator breaks, nobody notices until a patient complains. When a rental contract expires, the facility keeps paying because nobody flagged the renewal date. When a piece of equipment goes missing, someone orders a replacement. The original shows up a week later in a storage closet. This happens every day, at every facility, and the costs compound quietly into billions.

Healthcare operations technology has gotten significant venture investment in the last five years, but almost all of it has gone to hospitals and health systems. Nursing facilities are the forgotten corner of healthcare tech. The margins are thinner, the IT budgets are smaller, the staff is less technical, and the sales cycles are slower. Most enterprise SaaS companies look at skilled nursing and decide the market is not worth the effort.

That is a mistake. There are over 15,000 skilled nursing facilities in the United States. They collectively manage millions of pieces of equipment. And the regulatory environment, CMS inspections, state surveys, HIPAA compliance, creates constant pressure to track and maintain equipment properly. The facilities know they have a problem. They just have not had a solution that fits their budget and their workflow.

Asset tracking technology exists in other industries. Manufacturing uses RFID and IoT sensors extensively. Logistics companies track every package in real time. Construction sites are starting to deploy equipment trackers. But nursing facilities present a unique set of constraints. The trackers need to work indoors across large buildings. The interface needs to be simple enough for CNAs and LPNs who are already overwhelmed. The system needs to integrate with existing maintenance workflows rather than creating new ones. And the whole thing needs to be HIPAA compliant because the equipment is attached to patients.

The Micro: NASA Engineers Who Spent 1,000 Hours Watching Nurses Work

Norra is an AI-powered equipment operations platform for nursing facilities. The system uses proprietary physical trackers to create a digital twin of every piece of equipment in a facility. It tracks location and usage in real time, routes maintenance tasks to staff, flags overdue servicing, predicts equipment failures before they happen, and generates audit reports with a single click. The platform automates purchasing workflows by identifying when rental equipment should be purchased outright and when owned equipment is being underutilized.

Ben Rubin is CEO and cofounder. He has a Computer Science and Mathematics degree from Rice University. He previously built astronaut operations software at NASA and spent over 1,000 hours observing hospital and nursing facility operations. Yining Zhang is cofounder and also comes from NASA, where she worked on astronaut operations software with Ben. She then built applied AI solutions at MD Anderson Cancer Center.

The NASA background is unusual for a healthcare startup, but it makes more sense than it first appears. Astronaut operations software is fundamentally about tracking equipment, managing maintenance schedules, and keeping complex systems running with limited personnel in high-stakes environments. That is exactly what a nursing facility needs, scaled down from the International Space Station to a 200-bed building. The 1,000 hours of in-facility observation is equally important. Most enterprise software fails in nursing facilities because it was designed by people who have never set foot in one.

They are based in San Francisco and came through Y Combinator’s Fall 2025 batch. The product is live and already showing real results. A case study with Paragon Health NY reports $450,000 in savings within eight weeks, a 67 percent reduction in daily rental costs, and a 60 percent reduction in new rental orders monthly. Those are not incremental improvements. Those are the kind of numbers that make a CFO return your call.

The competitive landscape is thin. CenTrak does real-time location services for hospitals but focuses on patient and staff tracking rather than equipment operations. Cognosos does asset tracking for healthcare. STANLEY Healthcare, now part of Securitas, has been in the space for years but targets large health systems. None of them are building an AI-native platform specifically for skilled nursing facilities. Norra is targeting a segment that the bigger players have ignored, which is often how the best vertical SaaS companies get started.

The HIPAA and SOC 2 certifications are important for an early-stage company. Healthcare buyers will not even take a meeting without those certifications, and getting them early shows the team understands the sales environment they are operating in.

The Verdict

I think Norra is building exactly the kind of product that tends to win in vertical SaaS. Unsexy market, real pain, measurable ROI, and a team that has done the hard work of understanding the customer before writing a line of code. The $450,000 savings case study is the kind of proof point that sells itself in board meetings and conference presentations.

The risk is sales cycle length. Skilled nursing facilities are not known for fast procurement. Budgets are tight, decision-making is distributed, and change management is difficult when your staff is already stretched thin. Even with compelling ROI data, Norra could face 6 to 12 month sales cycles that strain the company’s runway.

At 30 days, I want to see how many facilities are in the pipeline and what the conversion rate looks like from demo to deployment. At 60 days, the question is whether the physical trackers are reliable in real-world conditions. Indoor tracking in large buildings with metal equipment, concrete walls, and RF interference is a hard technical problem, and tracker reliability will make or break the product. At 90 days, I want to see expansion data. Does the first facility in a chain lead to deployment across the rest of the chain? If Norra can demonstrate a land-and-expand pattern within multi-facility operators, the growth trajectory changes from linear to exponential. This is a $15 billion problem being solved by people who spent years at NASA and MD Anderson. I am paying attention even if the rest of tech is not.