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Ready to grow top-shelf?
Higher yields.
Consistent quality.
AROYA® is the premier cannabis production platform, combining innovative hardware and software to deliver actionable insights that help you improve profitability per square foot per year—predictably, and at scale.
We power the cannabis industry’s top-shelf producers.
See how STIIIZY used AROYA’s data-driven cannabis production strategies to overcome challenges and create beautiful, dense, and fragrant flower that customers love again and again. Explore their success story.
Production is more than cultivation.
Operationalize cannabis production and transform how profits are generated. Growing plants is one part of the puzzle, turning harvested plants into saleable flower takes much more than a talented grower. Cannabis production consists of three main steps: planning, cultivation and post-harvest processing.
The AROYA platform tracks and analyzes your operations to provide a detailed snapshot into what’s going on with your grow on any given day. Because when it comes to ensuring consistent product quality, streamlined operations, and increased profitability—data is key.
Data-driven insights. Real-time visibility. AROYA delivers precise data on rootzone, climate, task management, compliance and more to your phone, laptop, or tablet. Now you can understand and improve the whole cannabis production process from seed to shipment.
Drive consistent, scalable success with features like crop steering, alerts, drying, recipes, compliance, predictive analytics—and much more.
AROYA in numbers:
More reasons why top producers choose AROYA.
SOCII compliance
As an organization that thrives on data, we get the importance of protecting what you’ve worked so hard for.
Unlimited users
No limits on the number of AROYA users. Share data with anyone on your team.
Fast install
Sensors pull data directly into the software, so everyone from the grow room to the execs can sync within 2hr install time.
Easy integration
Our hardware-agnostic open API allows you to receive and process data from multiple sources.