EnAcuity
AI-powered, software-only hyperspectral surgical imaging.
| Date | Investors | Amount | Round |
|---|---|---|---|
| investor investor | €0.0 | round | |
| investor investor investor | €0.0 Valuation: €0.0 | round | |
* | $301k | Grant | |
| Total Funding | 000k | ||
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EnAcuity is a medical technology company developing an AI-powered, software-only solution for hyperspectral imaging to enhance surgical procedures. Established in early 2024 as a joint spinout from Imperial College London and University College London (UCL), the firm aims to improve safety and precision in minimally invasive surgeries, such as laparoscopies. The company was co-founded by CEO Dr. Maria Leiloglou and CTO Dr. Tobias Czempiel, building on years of research from both universities. Dr. Leiloglou's background is in physics, which she applied to medical applications during her master's and PhD at Imperial College London, focusing on improving surgical outcomes.
EnAcuity's core product is a hardware-agnostic software that upgrades standard operating room cameras with hyperspectral imaging capabilities, eliminating the need for expensive new equipment. This technology provides surgeons with real-time visualization of critical anatomical structures, tissue perfusion, and pathologies that are difficult to see with the naked eye, such as blood vessels or nerves. By highlighting these structures on-screen, the system helps prevent accidental injuries during procedures like colorectal and gallbladder surgeries. The business model is focused on making this advanced imaging more accessible and practical for surgeons to adopt. The company is considering a licensing model with hardware providers.
The company has secured significant funding, including a £1.28 million pre-seed round in 2024 led by Twin Path Ventures and a £300,840 Innovate UK Smart Grant in July 2025. These funds support the clinical validation of its technology using surgical video data from Imperial College Healthcare NHS Trust. EnAcuity is backed by a team of scientific advisors, including Professor Daniel Elson of Imperial and Professor Danail Stoyanov of UCL.
Keywords: hyperspectral imaging, surgical imaging, medical AI, laparoscopy, minimally invasive surgery, computer vision, surgical guidance, MedTech, tissue visualization, real-time imaging, surgical safety, digital surgery, AI in healthcare, operating room technology, colorectal surgery, gallbladder surgery, image-guided surgery, medical software, clinical validation, surgical data science