LeanTaaS uses AI and machine learning to optimize hospital operations and improve patient access by helping hospitals and health systems get more value from existing resources like operating rooms, infusion chairs, and inpatient beds. It delivers a software-as-a-service platform that analyzes a small amount of electronic health record (EHR) data to produce predictive and prescriptive analytics. These insights guide scheduling and resource allocation, enabling hospitals to handle more cases, improve patient care, and increase revenue without extra capital or staff. Unlike broader tech solutions, LeanTaaS focuses specifically on hospital capacity and workflow optimization, providing targeted analytics and actionable recommendations for operational decisions. The company’s goal is to reduce wait times, expand patient access, and unlock capacity across health systems.
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Company Size
201-500
Company Stage
Series D
Total Funding
$238.8M
Headquarters
Santa Clara, CA
Founded
2010
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LeanTaaS buys LookDeep Health and brings computer vision into hospital patient rooms. LeanTaaS said on November 3 it acquired LookDeep Health, a computer vision company, and introduced iQueue for Virtual Care, its first product built on what it calls ambient intelligence. Terms were not disclosed. The product bundles Virtual Observation, Virtual Nursing and Virtual Medicine, and LeanTaaS says hospitals can build on compatible cameras and in-room devices already installed or deploy supported hardware. The company cited reported results from LookDeep deployments, including fall-rate reductions of more than 70%, and said LookDeep's technology was evaluated in peer-reviewed research published in Frontiers in Imaging. This story was produced through MarketScale. See how Healthcare teams put it to work with Executive Thought Leadership. By MarketScale Newsroom · November 3, 2026 · Leantaas Lookdeep Health Iqueue Virtual Care Key takeaways LeanTaaS acquired LookDeep Health and launched iQueue for Virtual Care, combining Virtual Observation, Virtual Nursing and Virtual Medicine; acquisition terms were not disclosed. Hospitals can build on compatible cameras and in-room devices already in place or deploy supported hardware, according to LeanTaaS, which did not name camera vendors. LeanTaaS reported results from LookDeep deployments including fall-rate reductions of more than 70% and twice as much nursing contact, figures that are the company's own and not tied to named health systems. Free workspace Turn your Healthcare expertise into content. Record interviews, organize footage, and write with AI on a free trial of the MarketScale platform for qualifying companies. No demo required, no credit card. LeanTaaS, the hospital capacity and patient-flow software company, said on November 3 it has acquired LookDeep Health, a computer vision company, and introduced iQueue for Virtual Care, its first product built on what it calls ambient intelligence. The product was unveiled at the Transform Executive Summit, held alongside Becker's CEO + CFO Roundtable. Terms of the acquisition were not disclosed. The pitch is that the electronic health record and conventional hospital systems miss, or receive late, much of what happens in a patient room. LeanTaaS says the new product keeps continuous awareness across enrolled rooms, so a patient trying to stand without assistance, or one who has not been out of bed for many hours, becomes a prioritized task routed to the right person through iQueue. Three services on one platform. iQueue for Virtual Care bundles three offerings. Virtual Observation combines continuous AI monitoring with tools for observation teams to cover more patients, flag potential safety concerns, engage and redirect patients, and escalate to bedside staff. Virtual Nursing provides remote support for admissions, rounding, patient education and discharge preparation, prioritized by what is happening in each room. Virtual Medicine connects patients with remote physicians and specialists and gives clinicians insight into each patient between visits. LeanTaaS said hospitals can build on compatible cameras and in-room devices already installed or deploy supported hardware as needed, an approach it says preserves existing investments. It did not name camera vendors or models. Citing LookDeep's deployment experience, the company reported results across different deployments and operating models that include fall-rate reductions of more than 70%, twice as much nursing contact, an 80% reduction in medication errors and 3x cost savings compared with traditional virtual sitting. Those figures are the company's own and are not tied to named health systems in the announcement. LookDeep's technology was evaluated in peer-reviewed research published in Frontiers in Imaging, which LookDeep says measured its vision AI on real-world video from 11 hospitals and more than 1,000 patient-days. LookDeep's site also says the company is SOC 2 certified. What the executives said. Mohan Giridharadas, founder and chief executive of LeanTaaS, said computer vision is the next phase of iQueue becoming the central nervous system of the hospital. Narinder Singh, LookDeep's former chief executive and co-founder, joins LeanTaaS as senior vice president of ambient intelligence. He said nurses and physicians cannot be in every room at every moment, and that too often technology has added to their work instead of taking it away. LeanTaaS says its software is used by nearly 200 health systems across more than 1,200 hospitals, centers and clinics. The company is headquartered in Santa Clara, California, with an office in Charlotte, North Carolina, and is majority owned by Bain Capital. It previously acquired Hospital IQ and, according to a separate release, the care-transition platform Aidin. It says it plans to extend ambient intelligence into its capacity, patient flow and care coordination products. What it means for hospitals and the technology teams that serve them. The question for hospital IT, clinical engineering and the AV integrators who install room cameras is whether existing hardware becomes clinical infrastructure. The answer will turn on workflow integration with nursing and observation teams, interoperability with the EHR and nurse-call systems, how video and derived data are handled under privacy rules, and whether staff time savings can be measured on the units where the system runs. Hospitals evaluating the product will want deployment references and the study methodology behind the reported outcomes. Featured companies Your experts belong here Every story in MarketScale Healthcare starts with a company putting its clinicians, service-line leaders, and field engineers on the record. Buyers are already reading this topic. The only question is whose experts they find. Service-line buyers vet vendors quietly, and your clinicians become the proof they find while doing it.
LeanTaaS has acquired LookDeep Health, an ambient computer vision company, to bring in-room vision AI into its iQueue hospital capacity platform. The company announced the deal at the Transform Executive Summit, alongside the launch of iQueue for Virtual Care. The software uses existing in-room cameras to spot events such as unassisted patient exits and prolonged bed immobility, which electronic health records often log hours late. It turns these signals into nursing tasks, bed turns, and remote care support. LeanTaaS says LookDeep's models cut patient falls by more than 70% and, with remote dual-nurse verification, medication errors by 80%. Health systems also saved threefold compared with third-party virtual sitting agencies. "Computer vision is the next phase of iQueue becoming the central nervous system of the hospital," said chief executive officer Mohan Giridharadas.
Ambient intelligence is learning to see: Here's what that means for the hospital floor. By: Molly Gamble Hospitals have long run on things nobody wrote down. A patient who has not sat up since breakfast, an incision started 20 minutes late, or an infusion chair no nurse has approached in most of an hour. These moments shape discharges, OR schedules and safety every day. They fade as quickly as they happen. Ambient intelligence is the effort to catch them. Health systems already know the listening half, with ambient AI now in a growing number of exam rooms. The next half is vision - software that watches the care environment and turns what it sees into measurable, timely information for the people running the floor. LeanTaaS is the latest operations company to lean into the latter. The Santa Clara, Calif.-based company, whose iQueue platform manages capacity, staffing and patient flow for nearly 200 health systems across more than 1,200 hospitals and clinics, debuts iQueue for Virtual Care on Nov. 3 at the Transform Executive Summit, held alongside Becker's CEO + CFO Roundtable. The product builds on LookDeep Health, a computer vision company LeanTaaS acquired two months ago. The launch is one data point in a broader shift. Operational software is moving from recording what happened to noticing what's happening, then anticipating what comes next. From passive record to active signal. The EHR captures the hospital in retrospect. Timestamps are entered after the fact, often from memory. Falls are documented once they have occurred. Mobility, the single best predictor of whether a patient goes home tomorrow, lives in a nurse's head until someone asks. LeanTaaS Founder and CEO Mohan Giridharadas put the gap in logistics terms. UPS moved packages efficiently for a century before barcode readers, he told Becker's. When readers arrived, UPS absorbed them and could suddenly see every package in flight and every overloaded van - but the reader did not make the company. "The barcode provider cannot create a logistics company - but every logistics company has barcode readers" he said. In a similar manner, LeanTaaS sees the camera as a sensor that can enhance its operational optimization. The question now is how additional information shows up on a unit. The old virtual sitting model involved a wall of thumbnails, "like the doorman in a high-rise building," Mr. Giridharadas said - one sip of coffee and something gets missed. LookDeep's software watches rooms and surfaces the events that need a human, letting one observer cover 20 to 50-plus patients. In virtual nursing, the system notices a patient has woken and delivers the pre-op reminder, or spots a coffee cup beside someone who is not supposed to eat or drink. For discharge planning, a patient who has not moved today is unlikely to leave tomorrow. The team knows that the same afternoon, not at tomorrow's huddle. LookDeep's deployments have reported fall reductions of more than 70%, twice as much nursing contact, an 80% drop in medication errors and threefold cost savings compared with traditional virtual sitting, according to LeanTaaS, across varied sites and operating models. Its technology has been evaluated in peer-reviewed research published in Frontiers in Imaging. Narinder Singh, LookDeep's co-founder and former CEO, joins LeanTaaS as senior vice president of ambient intelligence. He frames the product around the people who are already in the building rather than the cameras. "Nurses and physicians cannot be in every room at every moment, and too often technology has added to their work instead of taking it away," he said in a statement. "Ambient intelligence keeps watch when they can't be there." What leaders should expect. For health systems deciding whether and when to put eyes in the room, two points from LeanTaaS' approach are worth weighing. The first is that hardware will not lock systems in. No hospital, Mr. Giridharadas said, will let its roadmap be set by whichever vendor hung the first camera; iQueue for Virtual Care runs on cameras hospitals already own over open protocols such as RTSP. "It's your environment, it's your hospital, it's your patient, it's your staff," he said. That should give health systems the leverage to demand an open standard. The second is that operational and clinical quality are about to share a border. LeanTaaS spent a decade on time and cost - wait times cut in half, idle OR blocks filled - and left clinical outcomes to clinicians by design. Mr. Giridharadas draws the line simply: "Satisfaction is driven by clinical outcomes. Dissatisfaction is driven by poor operational outcomes." Cameras put an operations vendor in the room where both happen. He describes the move as "tiptoeing into clinical quality," and the choice of verb is telling; the company wants the signal, not the clinician's seat. None of this requires a health system to change its strategy. It changes what counts as evidence. A patient who has not moved, an OR that started late, a chair no one has checked - these were always happening; now they can be seen, counted and, increasingly, predicted. The companies already running the hospital's operations, LeanTaaS among them, intend to be the ones holding the count. Becker's 3rd Annual Fall Chief Pharmacy Officer Summit is the top tier event that the people leading the future of pharmacy convene. This 3-day event is built specifically for Chief Pharmacy Officers and senior pharmacy leaders. The sessions examine the workforce, financial and clinical priorities shaping pharmacy today. Becker's is where candid discussions flourish and new ideas thrive. 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LeanTaaS, a healthcare capacity management software provider, is adding ambient intelligence to its iQueue platform. The first product, iQueue for Virtual Care, was introduced on November 3, 2026, at the Transform Executive Summit. It uses vision AI to monitor enrolled patient rooms, spot changes in activity, flag safety concerns early, and coordinate a response. It covers virtual observation, virtual nursing, and virtual medicine. To speed the effort, LeanTaaS acquired LookDeep Health, whose computer vision technology was evaluated in peer-reviewed research. Reported results across deployments include a more than 70% drop in fall rates and an 80% drop in medication errors. Health systems can use existing compatible cameras or install supported hardware. LeanTaaS plans to extend ambient intelligence to other iQueue products.
How Baptist Health in Arkansas reduced ER boarding. The health system is getting patients out of the emergency room and into hospital rooms more quickly. It's a common problem at many hospitals: patients staying in the emergency department, waiting for hours, or days, for a room. Baptist Health in Arkansas, which operates 12 hospitals, has been finding success in reducing congestion in the emergency room,. With the use of predictive AI and the buy-in from doctors, nurses, and other staff, Baptist Health has decreased boarding by about 525 patients each month, says Greg Brown, associate system vice president for Baptist Health, Arkansas. Brown oversees the patient command center that's helping move patients through the emergency department more quickly and improving throughput across the system. In an interview with Chief Healthcare Executive(R), Brown says the system is getting patients the care they need more quickly and improving the ability to take in more transfers. "I think every hospital probably in the country struggles with ED boarding," Brown says. "You know, I think one of the challenges that we have to really think about is ED boarding is really not an ED problem for the majority of cases. It really has to do with bottlenecks, inefficient processes, lack of flow within the medical-surgical and the ICU units to help relieve some of that pressure." Brown acknowledges that it has taken some work, but the results are encouraging. "The proof is in the outcomes," Brown says. "We can go across and we can look at all of our outcomes from our discharge processing time to our orders before 9:00, to the hours and the time when the patients that are going through our discharge lounge, the number of boarders decreased," he says. "All of those things we can take to our leaders across the system and say, here is proof of the execution and the work you've done. And it just makes a world of difference, because at the end of the day, it's all about the patient." 'Information that is actionable' Baptist Health partnered with LeanTaaS, a healthcare technology company, to help improve the patient flow in the emergency department and across the hospital. The health system is utilizing AI-powered predictive analytics to identify patients that could be ready for discharge early, helping make more beds available for those waiting in the emergency room. Now, the system is seeing more discharge orders coming in before 9 a.m., allowing most patients to be discharged by 11 a.m. "It gives us that capacity when we know that patients are really going to start coming into our hospital in the afternoon hours," Brown says. He says it's not just about giving staff more information, but providing more actionable data for frontline teams to overcome barriers. "We've been able to recoup without building brick and mortar, without doing anything significantly around improvements of the infrastructure," Brown says. "But really it's about improving processes that give us what we call bed time back to our emergency department to decrease the number of boarding hours and the number of boarding patients." In addition to identifying patients that could be candidates for early discharge, Brown says Baptist Health is using data to see if there are patients who may have barriers that could be addressed to ensure the patient can be discharged promptly and safely. "It's not just getting information for information's sake; it's really providing information that is actionable in the moment," Brown says. "I think that's where we've seen probably the biggest opportunity for us to be very successful." 'The culture shift' While Brown says technology is providing more useful insights, he says the culture change within the system has also been an essential factor in the gains Baptist Health is seeing. He says part of the motivation is to help staff understand that larger health systems such as Baptist Health are seeing more patient transfers from smaller hospitals, a trend he expects to continue. But he also stresses that the system is asking staff to work smarter. "Instead of asking our folks to work harder, which I think historically has been the norm across healthcare... It's really about how do we remove friction and barriers and make that process much easier for us to navigate," Brown says. "And so it's really not working harder, it's working more efficiently. And when your team sees that and they can feel that pressure relief and it allows us to do more with less, then I think that culture changes on its own over time.' "The culture shift and really understanding how we get the information to the providers, and then for them to trust that information that we're providing them, has been a key for us," he says. Baptist Health rolled out the system-wide tool slowly, beginning with a couple of hospitals. The system looked at metrics and also ensured that there was sufficient support from staff. Staff came in with suggestions for improvements. "It really wasn't fully, we're pushing information, pushing, pushing," he says. "It became a partnership between all the parties that were involved in looking at, how can we truly make this better?" "It really became a true partnership from all aspects across our healthcare system," he says. Create a strong governance plan Doctors and nurses played a critical part in the development of the new system, Brown says. He says physicians, nursing leaders, frontline nurses and hospitalists had built strong relationships, which enabled the process to be more successful. While key leaders were brought into the process early, Brown says the involvement of nurses at the beginning was critical. "The nursing staff within our hospital, they're at the tip of the spear, as they say. They are the ones that really help make or break a new process," Brown says. "It wasn't an initiative that we developed kind of in secret and then just kind of threw out to the teams," he adds. When asked about advice for other health systems undertaking similar programs, Brown cites the value of perseverance and patience. "Anytime you institute a new process that is going to maybe change the way that you've always done things is uncomfortable," he says. He says the most important guidance he would offer is to create a good governance structure including leaders of different components of the system, including doctors, nurses, the IT department, laboratory, radiology, and environmental services. "Those are the ones that are going to make you successful and to really get those processes in place," Brown says. "It's really just to be patient in the process, to be open and transparent," he says. "And allow input from all components of your system to help you make it better. Because all of those in that governance structure are the ones that are really going to set the vision for your system for the years to come."
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Industries
Company Size
201-500
Company Stage
Series D
Total Funding
$238.8M
Headquarters
Santa Clara, CA
Founded
2010
Find jobs on Simplify and start your career today
Don't see your dream role? Check out thousands of other roles on Simplify.Browse all jobs