hospital-operations
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Clarium and the expensive art of waiting
A missing medical supply can set an entire hospital chasing answers. Clarium connects the data, the substitutes and the people who can get care moving again.
PerfectServe knows who is actually on call
A hospital can have every specialist it needs and still struggle to reach one. PerfectServe connects the schedule to the message - and makes a surprisingly expensive game of phone tag easier to retire.
TeleTracking and the hospital beds hiding in plain sight
A hospital can run out of room while an empty bed waits upstairs. TeleTracking has spent three decades chasing the small delays that make capacity disappear - and now it is teaching software to anticipate them.
The Hospital Had Enough Pumps. It Just Couldn't Find Them.
AeroScout discovered that a hospital can own enough equipment and still be short of it. Its answer was to let ordinary Wi-Fi tell staff where the missing machines had gone.
The Bill Begins Before the Bill
A hospital can deliver the right care and still tell the wrong financial story. AKASA wants its AI to read the chart before the bill is written - and catch what busy humans miss.
The $50 Million-a-Day Data Habit That Made Kodiak the CFO Layer for 2,400 Hospitals
Kodiak spent two decades turning hospital finance's least glamorous chores into a data network. Its lesson for enterprise builders is simple: standardize the ugly workflow first, then let automation and benchmarks compound.
The Nurse Staffing Spreadsheet That Told a Hospital It Needed 9.6 More Nurses
Heidi Morin was told to cut staff. Her own calculator found the unit was 9.6 nurses short. Parity grew from that argument into a system designed to make clinical reality legible to hospital finance teams.
The Hospital's Most Important Robot Might Be a Locked Drawer
Omnicell began with a father watching nurses hunt for supplies in a hospital. Three decades later, it is trying to make every medication drawer, robot and pharmacy workflow behave like one connected system.
Kontakt.io
Kontakt.io is an AI-powered real-time location system (RTLS) and care-operations platform for hospitals. Starting in 2013 as a Krakow Bluetooth-beacon maker, it now combines IoT sensors, wearable tags and cloud AI to track the location, status and flow of patients, staff and equipment across health systems - helping hospitals cut wasted time, find assets, protect staff and orchestrate care around each patient's journey. It has deployed 4M+ IoT devices, serves 32,000+ end users, and raised a $47.5M Series C led by Goldman Sachs in 2024.
Vitalize
Vitalize is a San Francisco health-tech company building an AI platform that helps hospitals and health systems optimize labor - unifying staffing, scheduling, patient flow, and capacity in one system. Founded by Veeraj Shah, Sanketh Andhavarapu, and Nikhil DSouza and shaped in Y Combinator's W23 batch, the company began as a mental-health support tool for burned-out clinicians and evolved into the operational backbone that decides who works where and when, cutting manual scheduling time by roughly 70% and reaching demonstrated ROI in under 90 days.
Apella
Apella is a San Francisco-based healthcare AI company using ambient video, computer vision and machine learning to run hospitals' operating rooms better - automatically detecting up to 14 surgical case events, forecasting case durations, and writing structured data back to the EHR so surgical teams can serve more patients without staying late.
Qventus, Inc
Qventus builds AI 'teammates' that automate the messy operational work inside hospitals - from surgical scheduling to discharge planning - helping health systems unlock capacity, cut excess days, and grow revenue without adding staff.