Life Science & Pharmaceutical Solutions

CrowdAI helps life science and pharmaceutical companies automate image and video analysis to give doctors time back with their patients and accelerate time to market for life-saving drugs.

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The Fourth Industrial Revolution

The promise of Industry 4.0 and digital transformation has been put under a microscope

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Pressure to cure debilitating diseases and skyrocketing healthcare costs have created an opportunity for thoughtful deployment of automation. Manual inspection of microscopic cells in a lab, or a CT scan overview a minute before a patient meeting challenges efficiency and quality tradeoffs.

Legacy vision systems have also fallen short. It’s nearly impossible to create an IF-THEN statement for every pathology variation, cell type, or dust particle on a vaccine vial. Machine learning and computer vision help enterprises avoid the pitfalls of hard-coded rules by learning through examples instead.

  • Pharmaceuticals
  • Visual Inspections
  • Logistics
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Smart Factory

Automate production line inspections with focus on quality control for everything from pill packs to vaccine vials.

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Digital Maintenance

Increase efficiency in equipment and predictive maintenance with automated visual inspections and deterioration identification.

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Logistics AI

Create 24/7 supply chain visibility and quality control through automated monitoring and critical-junction inspections. 

We enable care

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Ready to get started?

Integrated Solutions

Our vision is to help workers on the line, or in the lab automate visual analysis that is otherwise impossible, unsafe, or expensive. CrowdAI’s team and tools help organizations understand how to assess opportunities, prepare for visual automation, and accelerate existing projects.

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Accelerate Detection

Detect early cancer signs up to 100x faster.

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Mitigate Risk

Avoid 90% more false positives through custom-built models.

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Automate Discovery

Automate image-based biomarker discovery for clinical studies.

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Optimized Data

Minimize waste and scrap with balanced, transformed data-sets.