See more, see better, provide superior care.

Accelerate diagnostic processes and provide targeted effective treatments by letting AI do the work for you. Machine learning can process information faster than we do and can enhance human-led clinical decision making by providing accurate contextualized information quickly to the right experts. The diagnostic process can be accelerated ensuring patients have access to the right treatments quickly. Robovision AI is a data-driven machine vision AI platform that enables both AI scientists and healthcare professionals with powerful AI capabilities to provide superior care.

Why leaders in Healthcare choose Robovision


Our platform has been built from the ground up to intuitive and easy-to-use. Whether your are conducting research or diagnostic a patient, Robovision AI lets you focus on your field of expertise while we make all the AI processes easy.


Training and re-training algorithms on the edge allows for quick adaptation and continuous fine-tuning of accuracy. Robovision AI breaks the dependency on AI teams/companies or on (software) updates from traditional healthcare solution providers.


Our platform allows for many ways to scale your healthcare business, from remote annotation solutions, to automated image analysis and diagnostics to deployment across many devices, locations and skill levels. Scale your intelligence, scale your care.

Want to discuss your Deep Learning case? talk to our team

Capture Intelligence

Available algorithms

Algorithms to perform cell analysis, segment organs and tumors or monitor patients with cameras for their safety and revalidation, our platform comes with pre-built pipelines to enable your healthcare organizations with powerful AI capabilities from day 1.

Pose detection


Brain Metastasis

Covid 19

Informed predictive healthcare

Medical imaging

There is a steady increase in demand for cross-sectional
imaging (CT and MRI) while at the same time there is a shortage of trained, experienced radiologists to report on these images. Hospitals cannot recruit and train radiologists fast enough to keep up with demand. Applying machine learning on large datasets can compare individual cases to global datasets to provide insights on diagnosis, disease trajectory and treatment options allowing care professionals to focus on those who
need it most.

  • Augmentation of intelligence (Radiologists assisted by AI)
  • Improved accuracy and efficiency in workflow (automated analysis in images)
  • Improve patient services & patient safety (faster scanning; reduced radiation)
  • Economic advantages (increasing capacity; reducing costs)
Decrease time to discovery

Life sciences

From accelerating drug discovery to streamlining clinical trials, the applications in life sciences have huge potential to vastly improve healthcare, automating image analysis experiments allow for testing greater numbers of hypotheses. Start augmenting your researchers with powerful AI capabilities.

An example:
cancer cell analysis

VitroScan applies a systematic approach to test drugs targeting the relevant cancer pathways. Data acquired in trials for multiple solid tumors from patients are the basis for correlate drug sensitivity, and genetic analysis with clinical outcome. When examining the outcome of a drug cocktail, laboratory technicians use Robovision AI to quantify the volume of cancer cells, speeding up clinical trial significantly.

AI assisted quality of care and life

Patient monitoring

Healthcare aimed at improving the quality of life from revalidation to independent living can be greatly improved by discreetly monitoring in various ways. By using camera’s we can discreetly analyze patients behavior and detect emergency situations. We can track and measure revalidation progress through analyzing movements and how these change over time.