Technology Startup Trym Launches First Cannabis Farm Management Solution at MJBizCon Las Vegas

New software features empower cultivators to make data-driven decisions to reduce costs and improve yields

Tech startup Trym unveiled the first farm management software platform created specifically for cannabis cultivation, today at MJBizCon Las Vegas, the largest cannabis industry event in the world. With this launch, Trym builds upon its existing "internet of things" agricultural sensor offering to provide cannabis cultivators with comprehensive, actionable insights that help optimize farm operations, grow revenue, maintain consistency and increase competitive advantage. This new functionality enables cultivators to track batches from seedling through harvest while also linking to a complete history of environmental conditions, tasks, energy usage and costs.


Jon Hudnall, director of operations at DogHouse and Trym customer said, "Growing quality cannabis takes significant physical and financial investment, and small variations in how the plant is grown can have meaningful impacts on production and profits. With Trym, we're able to track key performance metrics and improve how we run our business."

With Trym's expanded feature set, cannabis cultivators can now:

remotely monitor environmental conditions, equipment data, energy usage and workforce data;
compare cost and yield between batches, rooms and facilities;
easily create, assign and track tasks; and
receive alerts of any changes or malfunctions in real-time.
"By combining data analytics and visualization software with agricultural sensor technology and operational inputs, Trym enables cannabis farmers to identify trends that lead to increased yield and profitability," said Matt Mayberry, co-founder and chief executive officer of Trym. "We're equipping cannabis cultivators with the tools they need to thrive in this rapidly evolving industry."

Visit Trym at MJBizCon, the largest cannabis industry conference in the world, in Las Vegas, Nevada November 14-16, 2018, booth #1401 and take a tour of the software.

About Trym
Founded in Novato, California in 2017, Trym draws on decades of experience creating technology products that improve operational efficiency and reduce costs. Trym spent the last seven months in private beta mode while designing the only purpose-built farm management platform for the cannabis industry. The Trym mobile app is available for download on both iOS® and Android™ devices through the App Store and Google™ Play Store, respectively. To learn more about Trym contact info@trym.io or visit www.trym.io. Follow Trym on Facebook, Instagram and LinkedIn.

iOS is a registered trademark of Cisco in the US and is used by Apple under license. Android and Google are trademarks of Google, Inc.

Featured Product

Get enhanced vision-powered systems for Auto Farming!

Get enhanced vision-powered systems for Auto Farming!

e-con Systems leads the way in Agriculture Automation, leveraging over 20 years of expertise in OEM camera design, development, and manufacturing. e-con's diverse camera range, featuring advanced capabilities and partnerships with leading sensor technology providers like Sony, onsemi, and OmniVision, is tailored for various smart farming applications such as weed detection, bug identification, crop health monitoring, and harvesting automation. The recent addition of e-con's 20MP camera captures tiny details, enhancing efficiency in crop monitoring and automated machinery guidance. e-con cameras offer versatile interfaces, exceptional low-light performance, expert ISP tuning, multi-camera support, HDR, long-distance capabilities, and customizable features, empowering agriculture automation. e-con specializes in providing AI-ready multi-camera solutions for real-time decision-making. e-con Systems has empowered numerous clients in the smart farming industry to develop and deploy futuristic agricultural systems, including agricultural robots, autonomous tractors, and drones. As NVIDIA's Elite partner, e-con Systems revolutionizes agricultural applications with deep learning algorithms for NVIDIA Jetson kits, expediting time-to-market for customers.