Client
SeedLinked
Status
On-going
Duration
6+ Years
Location
Viroqua, Wisconsin
Nico Enjalbert, CEO of SeedLinked, envisioned a groundbreaking platform for organic seeds—a space to crowdsource data on seed performance across regions, manage trials, and create a marketplace for organic seeds. Since its inception in 2019, SeedLinked has worked closely with Augment on product design and development to turn this vision into reality.
Building on its success, SeedLinked has expanded its platform with innovative AI capabilities, again partnering with Augment to deliver advanced features. These include powerful data analytics for deeper insights into seed performance and predictive models to help growers make smarter, data-driven decisions.
Through Augment’s expertise, SeedLinked has evolved into a comprehensive platform that not only connects growers and breeders but also provides actionable intelligence. Together, this collaboration continues to redefine technology in agriculture, fostering a sustainable and data-centric future for organic farming.
SeedLinked is a platform for organic seeds. They offer two main solutions:
Organic Seed Trial Manager
Trial management software to help universities and companies manage organic seed trials.
Authentication
Implemented a secure identity and access management system to protect user data and ensure safe interactions.
The two AI projects Augment built are around the following:
The SeedLinked platform was developed with a focus on modern, cloud-native architectures and a modular design to deliver seamless performance.
Elevating Organic Seed Variety Information
Using AI to enhance the descriptions of organic seed varieties. We used AI to carefully pull in curated descriptions from open source sources to enhance the seed descriptions.
AI-Powered Seed Discovery
SeedLinked has a ton of data on grower (gardeners, farmers) feedback on how certain organic seeds performed in certain locations. We built an AI agent to enhance the search and discovery experience. This will allow users to use natural language to ask questions around all of this data. For example, a grower in Madison, WI could ask, what types of tomato varieties work best in Madison. Then an AI agent will then search, gather and present the findings in an easy-to-consume format.