AI for Agri-Biotech

AI is poised to deliver unprecedented value across multiple domains. Within life sciences the value can only be realised when deep, domain specific sceintific expertise merges with AI experts who are domain-aware and can converse and translate with the scientists

Our Solution space

CubeBio AI seeks to identify and develop AI solutions for agri-biotech companies. We observe that many companies already own the data that possess significant commercial value, and only require targeted implementations of AI technologies to benefit from it.

AI-powered Image Analysis: AI methods allow for high-throughput phenotyping with image analysis using Convolutional Neural Networks and other approaches in greenhouse and field. Few use cases are:

Gene Editing: AI-assisted design of CRISPR-Cas9 guide RNAs enhances precision and efficiency. They provide targeted development of yield traits through breeding and gene-editing in diverse crop species. These can be disease and pest resistance, agronomic, etc.

• Processed images ingested into analytic pipelines unlock the ability to make multi-factor decisions in complex trials including multi-location, multi-season trials

• Seed production QC & QA

• Identify pests and diseases from images, enabling early intervention

Farm GPT: AI powered chatbots and virtual assistants for real-time advice on farming methods, pest control and market access in local languages.