Our Technology Stack for Ag Biologicals R&D
Access assets and technology you can’t find anywhere else. At our world-class facilities in Boston and West Sacramento, we’ve assembled assets and capabilities tailored to open innovation in agriculture.
Access assets and technology you can’t find anywhere else. At our world-class facilities in Boston and West Sacramento, we’ve assembled assets and capabilities tailored to open innovation in agriculture.
Discovery
Our team has curated >300,000 strains from agronomically relevant sources and amassed a 2.7B+ metagenomic database. Our computational biologists can mine these libraries to nominate strains and proteins that match your product concept.
We’ve characterized a subset of these strains in vitro and in planta for their nutrient use efficiency and crop protection activity. These validated leads offer advanced starting points for your next product.
Discovery
Separate the signal from the noise with our screening & selection assay cascades. We’ve developed and validated assays to help partners choose treatments that are more likely to succeed in the field. These in vitro, growth chamber, and greenhouse assays span a range of crop nutrition and crop protection targets for row and specialty crops.
Development
Our fermentation and formulation experts are co-located with our 3,000L pilot plant and greenhouses in West Sacramento, CA. Together, these teams concentrate and stabilize biological-based active ingredients, create baseline formulation prototypes for field testing, and support transfer to pilot scale. We deliver on a range of product concepts - liquid suspensions, dry format formulations, foliar and seed treatment formulations, and adjuvants to enhance bioactives.
Development
The approach we take to optimizing your strain will depend on your path to regulatory approval in your target geography for registration. Our team has proprietary tools to screen massive, mutagenesis-based libraries in a single run, so you can leverage non-GM approaches effectively. We can also take genetic engineering approaches that combine machine learning guided pathway design and high-throughput screening to quickly achieve your target performance.