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Life Sciences Life Sciences

Computer Vision AI for Life Sciences

Shorten your Pipeline

Computer Vision AI helps automate image analysis processes in life sciences, making them more efficient, faster, accurate and repeatable. It shortens the pipeline from research to medicine and contributes to better and innovative healthcare.

 

High Security
Your data remains safe at all times.
Full Traceability
Trace all activity in the platform.
Full Integration
Integrate the platform into your existing technology.
Easy Deployment
Streamline classification, quantification, and reporting.

What can Robovision AI do for Life Sciences?

Our user-friendly Robovision AI platform can automate the analysis of in vitro experiments, in vivo experiments, and clinical research data. The platform allows you to build your own AI models and helps you create and deploy the AI pipeline you need. 

A secure environment for international teams

You manage your data and create annotations in a secure environment. Host your AI models on your local servers or work in a reliable private cloud, for guaranteed confidentiality and efficient cooperation with team members, regardless of their location. 

 

 

Added value for device suppliers

As a manufacturer of high-performance microscopes, scanners, or other imaging solutions that support drug development in (bio)pharmaceutical companies and CROs, integrating a high-quality AI solution brings substantial added value to your clients

Image analysis automation with the Robovision AI platform accelerates workflows and ensures accurate, consistent data, providing a solid foundation for research and development. The platform seamlessly integrates with your existing technology.

 

 

Read our Healthcare Cases
Client Lung damage on CT scans
Industry Healthcare
During the COVID-19 pandemic, Robovision teamed up with several partners to create an AI model for fast quantification of lung damage.
View success story
Client National Institutes of Health (USA)
Industry Healthcare
AI application makes it easier for radiologists to identify specific organs and detect anomalies.
View success story