Powering the future of cannabis production with Bloom AI

Our patented machine learning algorithm sees cannabis for what it is.

The most advanced computer vision system, designed to supercharge cannabis production

Backed by a global cannabis dataset

Our intelligent software can be utilized in every aspect of your grow operation.

Our mission

AI Powered Cannabis

At Bloom, we focus on creating value for our customers by automating mundane, complex tasks in the commercial cannabis industry. Automation has revolutionized industries that once relied heavily on human power, and we believe cannabis cultivators should not have to rely solely on traditional methods or conventional machines to harvest their product. With Bloom technology, cultivators can reduce labor costs while creating a higher quality of cannabis.

Machine learning as a service

Cannabis growers face various challenges as the industry matures. Let Bloom help you by providing the intelligence and automation to transform your operations.

Increase Margins

Reduce Labor

Deliver Consistency

Optimize Crops

Improve Safety

Create Flexibility

Ready to put AI to work?

Contact us today to learn how to eradicate complex repetitive tasks, eliminate risks in your grow operation, and maximize the value of your flower.




"Woburn, Mass.-based Bloom Automation has cut itself a niche automating the cannabis harvesting process. The startup designed human-collaborative robotic trimming technology and is reportedly in discussions with at least one 'Big Cannabis' player, according to The Buzz."




"With cannabis processing expenses estimated at more than 20% of total cultivation costs, the faster AI may save Bloom’s clients millions in the coming years."



Cannabis Business Executive

“Gowa anticipates other cannabis applications for the AI, including automated defoliation in multi-tier grow rooms, harvest-weight prediction, and foliage density assessment to mitigate micro-climates that breed pathogens.”



Robotics Tomorrow

“Bloom Automation's system requires little attention from the operator, allowing personnel to perform additional tasks while the machine runs.”