Medtech
When AI Meets Medtech: 5 Startups Bringing Intelligence to Care
DealBio tracks early-stage AI medtech startups across Europe and North America. These 5 are bringing machine intelligence into surgery, imaging and hospital operations.
- AI Health
- Medical Devices
- Medical Imaging
- Surgical Technology
AI in healthcare is moving closer to the physical point of care. Instead of operating only as a software layer around records or conversations, some startups are embedding AI into devices and workflows that already shape clinical decisions.
The common opportunity is practical intelligence at the point of care: using vision, imaging and automation to help clinicians and hospital staff see, verify and execute important tasks inside workflows they already use.
At a Glance
- Clee MedicalSwitzerland2024Real-time tissue imaging in brain surgery
- SPCTRNetherlands2025Intraoperative tumor-margin assessment
- Surgitec RoboticsFrance2023Robotic platform for bone surgery
- OculumCanada2024AI virtual staining in eye surgery
- enamentisGermany2024AI vision for sterile processing
Building real-time tissue imaging and AI guidance for minimally invasive brain surgery.
- Country
Switzerland- Founded
- 2024
- Sector
- Medtech
- Funding stage
- Seed or earlier
- Founders
Why Clee Medical stands out
Clee Medical combines real-time tissue imaging with AI to help neurosurgeons distinguish tissue and blood flow as they advance toward deep brain targets. Neuro Access was used in 11 neurosurgical procedures during the startup’s first year.
CTO Abed Hammoud previously helped build two surgical-navigation startups that were later acquired, giving the team direct experience in translating navigation technology into clinical systems.
What Clee Medical is building
Neuro Access is a narrow, single-use probe that travels along the surgical track and combines optical coherence tomography with software that classifies tissue and detects blood flow.
The system is designed to complement existing stereotactic navigation rather than replace it, adding micrometer-scale information directly ahead of the instrument during procedures including deep-tumor biopsy.
02
SPCTR
Using light and AI to tell surgeons during an operation if a tumor was fully removed.
- Country
Netherlands- Founded
- 2025
- Sector
- Medtech
- Funding stage
- Seed or earlier
- Founders
Why SPCTR stands out
SPCTR is trying to move breast-cancer margin assessment into the operating room. It has raised €350,000 from Future Tech Ventures and angel investors and is running a first-in-human study across three Dutch hospitals.
CEO Wido Heeman previously took another surgical-imaging technology from prototype to first-in-human studies, while CTO Rowan Timmermans brings software-product experience at scale.
What SPCTR is building
SPCTRone analyzes light reflected from removed tissue and uses AI trained against pathology to classify whether a surgical margin appears cancer-free while the patient is still in surgery.
The device is designed to work without injected dyes or an additional specialist in the operating room, starting with breast-conserving surgery and later expanding to other solid tumors.
Developing robotic systems for AI-assisted bone surgery.
- Country
France- Founded
- 2023
- Sector
- Medtech
- Funding stage
- Seed or earlier
Why Surgitec Robotics stands out
Surgitec Robotics has raised more than €8 million and filed a patent application covering contactless robot-to-patient alignment using medical imaging.
Two founders helped build and deploy the ROSA surgical robot, giving the team experience in robotic guidance, navigation and hospital deployment.
What Surgitec Robotics is building
Surge One is being developed as a shared robotic platform for hard-tissue procedures across neurosurgery, spine, orthopedics, maxillofacial surgery and ENT.
Its alignment system uses medical imaging and projected laser geometry to register the robot with the patient's anatomy without attaching a physical marker to bone.
04
Oculum
Using AI virtual staining to make transparent eye tissue visible during surgery.
- Country
Canada- Founded
- 2024
- Sector
- Medtech
- Funding stage
- Seed or earlier
- Founders
Why Oculum stands out
Oculum is developing a dye-free alternative for visualising nearly transparent retinal tissue during surgery. Its second clinical study is underway at Sunnybrook, and the startup has also received a $25,000 Tech@RBC Momentum Grant.
Founder Olga Klushina previously worked in medical-imaging test engineering and was selected for Sunnybrook's Medventions Innovation Fellowship before founding Oculum.
What Oculum is building
Oculum is building a modular add-on for surgical microscopes that applies AI-powered virtual staining to the live microscope image.
The system is designed to highlight transparent retinal tissue inside the surgeon's existing view, replacing a chemical staining step without requiring hospitals to replace their microscope.
Building AI vision and robotics for hospital sterile-processing workflows.
- Country
Germany- Founded
- 2024
- Sector
- Medtech
- Funding stage
- Seed or earlier
Why enamentis stands out
Cir.Log is already live at three hospitals in Germany and Austria and integrates directly with NEXUS EuroSDS sterile-processing software. enamentis also leads a €2.87 million federally funded SteriBot consortium.
The startup is applying computer vision to a high-volume hospital workflow where every tray requires accurate instrument identification, counting and verification.
What enamentis is building
Cir.Log is an AI camera mounted above existing sterile-processing workstations. It identifies, counts and documents surgical instruments without requiring tags or markers and checks trays against pack lists.
enamentis is extending the same computer-vision layer into Steri.Bot robotics for broader automation of repetitive sterile-processing tasks.
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AI medtech is becoming part of the clinical workflow
What connects these startups is that AI is being embedded at the point where a physical clinical task becomes a decision: whether tissue is safe to traverse, whether a tumor margin is clear, whether a robot is aligned, whether transparent anatomy is visible or whether a surgical tray is complete.
For investors, that changes the adoption question. The value is not AI in isolation but whether the system can improve accuracy, speed or consistency inside equipment and routines hospitals already trust. Startups that strengthen an established workflow may have a clearer route to clinical use than products that require a new data source, new interface and new behavior all at once.
Methodology
DealBio selected these startups from its database of early-stage health and longevity startups, focusing on medtech businesses where AI is embedded directly into a clinical or hospital workflow. The selection spans imaging, surgery, robotics and sterile processing rather than general-purpose health software.
DealBio builds its Startup Briefs using publicly available company materials, ecosystem sources, market references and professional profiles.