Akara AI: Air Traffic Control for Operating Rooms

Akara AI: The Operating Room Sensor Fixing What Surgeons Can't

Operating rooms generate 40 to 60 percent of a hospital's total revenue. They're also where hospitals lose the most time. Two to four hours of OR time disappears every single day — not because of the surgeries themselves, but because of coordination gaps in between. Manual scheduling, unclear room readiness, and guesswork about turnover all add up to billions lost annually. Akara built an AI operating room sensor that fixes exactly that.

Founded in Dublin by Conor McGinn and a research team from Trinity College Dublin, Akara tracks surgical workflows in real time using thermal imaging. The sensor installs in under an hour. It requires no cameras, no EHR integration, and no upfront capital. Heat signatures do the rest — telling the system who is in the room, what stage a process is at, and what needs to happen next.

US hospitals lose an estimated $2 billion annually from AI operating room inefficiencies alone. Akara targets that number directly.

How the AI Operating Room Sensor Hospital Efficiency System Works

The platform runs quietly in the background from the moment it's placed. It tracks occupancy, staff movement, equipment readiness, and case progress through thermal imaging. Importantly, it captures none of that visually. No faces. No patient identifiers. No HIPAA exposure. Heat patterns replace cameras entirely, giving teams full visibility without privacy risk.

The AI layer then does what no whiteboard can. It predicts bottlenecks before they happen. Furthermore, it sends real-time alerts to staff and generates precise scheduling data that makes the next case's start time something teams can actually rely on. Consequently, pilot programs have shown turnover time between surgeries reduced by up to 30%.

From NHS Validation to Cedars-Sinai

Akara didn't launch into US hospitals first. Instead, it started with the NHS, one of the most rigorous clinical environments in the world. That vetting gave Akara something most healthcare startups don't have on arrival in America: credibility that a CMO already recognizes.

The US entry followed. Cedars-Sinai's ambulatory surgery division adopted the AI operating room sensor, with five more US hospitals planned. Moreover, TIME magazine named Akara's AI Sensor to its 2025 Best Inventions list, recognizing its potential to reclaim lost OR time at scale. Conor McGinn described the system simply: think of it as an air traffic controller for the operating room. Surgeons still fly the planes. Akara makes sure the runway is always ready.

Why AI Operating Room Hospital Efficiency Can't Wait

The staffing crisis makes timing critical. Up to 40% of nurses could leave the workforce by 2030. Burnout, understaffing, and administrative overload are the primary drivers. Therefore, every minute a nurse spends tracking room status manually is a minute that accelerates that departure.

A single robot improves one step in the OR. In contrast, a sensing and coordination layer improves every step simultaneously. That's the distinction separating Akara from companies selling hospitals new equipment. The OR already has the equipment. What it's missing is the system that makes everything inside it run on time.