- Datavault AI Inc. (DVLT, Financial) is deploying AI-driven supercomputing to optimize biofuel crops, aiming to support U.S. energy independence.
- The initiative targets improving fatty acid metabolism in canola to potentially replace 140,000 barrels of crude oil per day.
- Global biofuel demand is projected to increase by 38 billion liters from 2023 to 2028.
Datavault AI Inc. (DVLT) has announced plans to develop an AI-driven multi-modal machine learning system focused on optimizing biofuel crops. The project specifically targets increasing the efficiency of fatty acid metabolism in Brassica napus (canola) through advanced computational modeling, potentially aligning with the U.S. Environmental Protection Agency's (EPA) objective to substitute up to 140,000 barrels of crude oil per day with biofuels.
The initiative will be supported by research partnerships, including expertise from the Computing and Data Sciences Directorate at the U.S. Department of Energy’s Brookhaven National Laboratory. This collaboration aims to refine metabolic pathways in canola through comparative genomics, multi-omics data processing, and evolutionary biology.
CEO Nathaniel Bradley of Datavault AI highlights that their approach, which employs digital twins and Web 3.0 technologies, is designed to bridge the gap between research and market adoption. This strategic effort directly addresses the lengthy timelines traditionally associated with biofuel crop optimization by leveraging computational simulations that provide precise genetic modification analysis to enhance oil production.
Sonia Choi, the Chief Marketing Officer at Datavault AI and the Lead Principal Investigator for the project, emphasizes the company's role in structuring data for large-scale implementation within the renewable energy sector. With biofuel capacity investments hitting a decade high in 2022, Datavault AI sees this project as a strategic foothold in a burgeoning market poised for significant growth driven by national policies and rising demand for transport fuels.
