All types of manufacturing facilities, and analytical labs have manual visual tasks. Typically, they require low-level technicians to observe and count objects. These are notoriously wasteful tasks. Curiosity was created to automate them through a combination of robotics, computer vision and ai.

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small objects

large objects

We developed two platforms, one is based on an automated microscope for working with VERY small objects, and another on a web-camera for larger objects. The feed from either of those platform is supplied to our proprietary user interface. The UI can display the camera feed, and it can also use custom developed ai based computer vision modules. These modules can perform a variety of tasks such as:

  • object identification

  • motion tracking 

  • object counting


The "output" can have various formats such as the number of objects of each type counted by our software, the pathway of the tracked object, time when the object entered or exited the frame, and duration in the frame.

Our first prototype is geared towards an application in soil analysis labs. Our completely automated microscope solution identifies and counts soybean cyst nematode (SCN) eggs found in soil samples. SCN counting is a routine manual procedure in the lab that wastes valuable human resources, and we are excited to eliminate that inefficiency.  Learn more about it on our products page.

Our team at Curiosity specializes in automating manual visual procedures in agriculture and biophamraceutical industries. Every facility has inefficiencies in their operation, reach out to us to see how we can help you eliminate those, and save money.








1805 Collaboration Place,

Ames, Iowa, 50010

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