Company Summary

Company Overviews

At Precision AI we are on a mission to accelerate artificial intelligence based farming practices to create healthier, happier, and more profitable farms. By leveraging our advanced drones and custom-built AI technology, we can take crop production decisions from a whole field to an individual plant level. This type of decision-making transforms an industry that has been reliant on larger and broader technology for decades. The outcome of our solutions is integrated into the agricultural technology of today and helps craft the machines of tomorrow that will feed the world.

Precision AI was founded in 2017 with offices in Canada and the United States. We are scaling rapidly with an elite global team solving the agriculture challenges of farms around the world.

Rating Reviews

Rating is calculated based on 2 reviews and is evolving.

Featured Reviews

AI/ML Engineer
4.1
16 April 2026
Great place for AI/ML career growth and learning
Pros: I've really enjoyed my time here as an AI/ML Engineer. The work in artificial intelligence is genuinely exciting, and I'm constantly learning new things, which is great for career growth. My colleagues are super supportive, always ready to help out or brainstorm. We have pretty good work flexibility too, which really helps with work-life balance.
Cons: Sometimes the pace can be pretty fast, especially when we're hitting a deadline, so it can get a bit hectic. Also, I think there's room to improve some internal communication flows, especially between different project teams. It's nothing major, but a bit more clarity would be helpful.
Advice to Management: Focus on streamlining cross-team communication to ensure everyone is on the same page, especially during crunch times.
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Machine Learning Engineer
3.0
1 April 2026
Leadership has a ways to go
Pros: You learn a lot in this fast-paced AI startup environment. There's good access to senior engineers for technical guidance. Plus, the hybrid work model from our San Francisco office is pretty solid for individual contributors.
Cons: Leadership is inconsistent. Strategic direction changes often, which makes planning tough for us Machine Learning Engineer roles. Communication from the top down could be way better, it feels like we're always guessing.
Advice to Management: Work on a clearer vision and communicate changes better to the whole team. Empower team leads more and trust their decisions. Stop with the constant pivots.
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