Carelens.ai

CareLens.ai is an AI-powered ambient intelligence platform designed specifically for ambulatory surgery centers (ASCs) that automatically measures, analyzes, and optimizes surgical operations, quality, and safety using computer vision and edge AI. The platform addresses a fundamental operational challenge in outpatient surgery: while ASCs are responsible for more than 80% of U.S. surgical procedures across more than 12,000 facilities, the majority of operational data inside operating rooms is still manually tracked, incomplete, or unavailable in real time. This leads to inefficient turnover times, delayed case starts, staffing inefficiencies, and elevated compliance and safety risks. 

CareLens solves this problem using a camera-based ambient AI system that continuously observes surgical workflows and automatically converts real-world activity into structured operational data. Smart cameras installed in operating rooms capture visual and audio signals which are processed locally on NVIDIA Jetson edge compute hardware, enabling real-time detection of surgical milestones such as patient entry, incision start, procedure completion, room cleaning, and turnover readiness. These events are converted into structured metrics that feed real-time operational dashboards, analytics, and AI-driven recommendations. 

The platform enables surgical centers to objectively measure key performance indicators such as OR utilization, turnover time, surgical start delays, staffing performance, infection-prevention compliance, and instrument workflow efficiency. These insights are delivered through live operational status boards, detailed utilization analytics dashboards, and an emerging  “Agentic Insight” AI layer that allows clinicians and administrators to query operational data and identify patterns affecting surgical performance. 

CareLens is delivered through a SaaS subscription model priced per operating room, with an estimated annual contract value of approximately $9,600 per OR per year. With roughly 37,000 operating rooms across U.S. ambulatory surgery centers, the immediate addressable market for ASC operational intelligence is estimated at roughly $355 million in annual software revenue, with a broader surgical intelligence market exceeding $2 billion when expanded across specialties and care settings. 

The company is led by Founder and CEO Ted Spooner, a former Vice President of Digital Health at Zimmer Biomet where he built multiple FDA-cleared digital and mixed-reality surgical platforms including Mymobility, ROSA MR, OptiVu Shoulder. Spooner previously was CEO &  Founder of RespondWell, a digital rehab & patient engagement platform before being acquired by Zimmer Biomet. His career includes partnerships with Apple, Microsoft, Lenovo, and Philips, as well as the development of large-scale clinical data programs integrating robotics, digital therapeutics, and surgical outcomes research. 

The broader CareLens leadership team combines expertise in clinical surgery, computer vision systems, enterprise SaaS deployment, and healthcare commercialization. Advisors include David Jevsevar, MD, a practicing orthopedic surgeon and CEO of OrthoVirginia, while the engineering platform is led by CTO Till Bay, whose background includes the development of regulated computer-vision surgical navigation systems. 

CareLens is currently operating in pilot environments with ambulatory surgical centers, including deployments such as Sheridan Community Hospital and Westpark ASC, where the system has already demonstrated measurable improvements in operational performance. In one example, CareLens data enabled staff to reduce OR turnover time from approximately 40 minutes to 23 minutes, demonstrating how objective operational data can directly increase case throughput and revenue. 

The company operates in an emerging category of surgical ambient intelligence platforms, where few direct competitors currently exist. Existing solutions such as SIS, ModMed, Epic, and other practice-management systems track scheduling and documentation but do not collect real-world behavioral data from the operating room environment. Emerging companies like Apella and VitVio focus primarily on large hospital systems or rely on complex hardware deployments that are difficult to scale into ASCs. CareLens differentiates itself through a low-cost, camera-based ambient sensing architecture optimized specifically for outpatient surgery centers and through its unique combination of structured workflow data and AI-driven operational insight. 

Looking forward, CareLens is building a multimodal surgical data platform combining room-scale computer vision with procedure-scale wearable capture (e.g., smart glasses). This layered dataset will not only optimize surgical operations today but also create the foundational behavioral training data required for future AI-assisted surgical robotics and automated clinical workflows, positioning CareLens as a long-term intelligence layer for the operating room.