“Plant biologists are extremely interested in how this works when we present our data at conferences. Most people have never once considered applying this technology in this way”
Rachel Egger, Principal Scientist at Syngenta
“A lot of what we do is theoretical or principles based. To be involved in something that could be commercialized, impacting agriculture so positively, was really exciting for us”
Allen Garner, Purdue University School of Nuclear Engineering
“...we pre-trained the AgroNT on approximately 10.5 million genomic sequences comprising trillions of base pairs. The data set of 48 species included genomes of row crops, fruits, legumes, vegetables and species important for industry and research, so that it could learn the language of plant DNA.”
Gurnek Singh, Head of Business Development for Applications and Life Sciences, Bio AI at InstaDeep
“When we met InstaDeep, they had a mature AI Platform and were truly focused on agriculture. I was impressed that they knew the value of their algorithms, our data and the partnership. That made it easy to put together a collaboration with them.”
Joe Clarke, Syngenta Fellow in Genomics
“Our ambition is to efficiently integrate large DNA fragments into specific genomic locations. By making trait expression and trait introgression paths more predictable, targeted insertion will accelerate R&D, delivering more innovative solutions to farmers, faster.”
Brenden Barco, Senior Scientist, Crop Trait and Technology Discovery
Genome editing can enable the development of crops that are more sustainable, higher yielding while using less inputs, and agronomically beneficial to farmers. Explore the Syngenta proprietary technology that we are sharing via research purpose licenses to accelerate innovation through collaboration in agriculture.