Case Study: Inari Agriculture accelerates AI-driven seed design with Crayon

Inari Agriculture unlocks the full potential of seeds with AI-powered platform

Inari Agriculture, a company focused on using AI for seed design, faced significant challenges with its AI research. Their machine learning experiments were inconsistent and hampered by complex, fragmented data, which increased compute costs and slowed down scientific progress. To address this, they partnered with Crayon to build a new data and machine learning platform on AWS.

Crayon designed and implemented a governed platform that imposed end-to-end consistency on data and workflows. The solution utilized tools like Databricks, Airflow, and MLFlow to automate processes and provide preconfigured environments. This allowed Inari’s scientists to onboard projects in minutes and run experiments up to 10 times faster, dramatically reducing compute costs and accelerating the validation of ideas for intellectual property.

Inari Agriculture

Alex Frieden

Director of Engineering