Manage large complex plant biotechnology projects

Fuel versus Feed crops compete for the limited resources. Quantum computing could show us the way forward. 

Biotech

Super computer to super seeds, we have the ability to create data displays for insilico analysis of plants, animals and ultimately within life sciences. The Digital Twin has ignited a demonstrable interest within the biotech community. In particular, Datavault through a series of foundational findings and market analysis has focused on bio energy. A focus aided by tail winds of demand that is projected to grow 50% by 2025 with of the increase in demand predicted to originate from developing countries.

A failed trial with data assets can earn new revenue through the sale and the replication of that sale to authorized buyers. We create data refinement, DataValue, DataScore and blockchain tokenomics so that scientific data can be monetized, safety, securely and without ever being exposed to a network or being encrypted from peer-to-peer in an approved, authorized and fully compliant transaction. We also enable the productization of data assets for scientists of all types, formats and disciplines. When authorized, users can connect to data sets they are seeking or sell copies of data sets they own through our patented Information Data Exchange that requires no source data or locations to be revealed to the buyer.

Benefits of our platform

Digital Twin Institute solves for 

  • Creation of PhytoIntel Platform in Renewable Energy Sector

  • Base model development digital twins of A.thaliana and rice 

  • Gene sequencing, phenotyping and biochemical profiling 

  • Twin of Arabidopsis close relative to Oilseed Rape (Biodiesel)

  • Digital twin of Corn (Bioethanol), Digital twin Soybean (Biodiesel)

Virtual Crop Digital Twins

  • Competition of food/feed with BioFuel production arable, land, water…

  • Optimization of food/feed varieties for energy use,  yield and product quality.

  • Create higher energy density in crops (e.g. Increase unsaturated FAs)

  • Integration of all available plant information into single PhytoIntel platform  

Enter the Super Compter

Super or “Quantum”computer environments will break the 40 year research stalemate in development in novel plant traits, which has had few Global success stories after billions being invested Worldwide. 

  • The “quantum leap” provides processing and  all of the computational horsepower and the ability  to accelerate biofuel research and discovery reducing the time spent in the “R” of R&D and improves the quality of  successful development. (r&D).

Super computer enables simulation models of real-world conditions

including but not limited to agricultural pesticides, nutrients, additives, sunlight, water, and change in genetic composition (transgenic plants for research)

InSilicoTrials Utilizes AI & Simulations for Efficient Development of Superseeds

Predicting Efficacy, Reducing Clinical Trials, Aiding R&D.

How much data does it take to grow a plant? The Digital Twin of bioenergy crops can provide a data set that can inform the future of these fuel crops higher yields. All eyes on Artificial Intelligence as the informed pathway to biofuels super seed will provide for its ROI and utility.

 Super computer and  data centers with high performance computing capabilities and the management of the  environments and the approach to Quantum computing will inform a future powered by Datavault.

PhytoIntel Platform in Renewable Energy sector
DataVault’s Scientific Edge 

Experience in large scale Functional Genomics (Management investigated 10,000 plus At genes in a highly integrated industrialized Gene Function Factory)

Demonstrated ability to successfully manage large complex plant biotechnology projects with major agricultural biotechnology companies. Generated over $100 million in revenues on projects with strategic partners (Bayer Crop Science, Monsanto, Pioneer Hi Bred/DuPont)

Leveraging DV and Digital Twin Institute at BNL the  virtual twin will; 

Enable just-in-time hypothesis testing of PhytoIntel results using NextGenGFF (transient, stable high throughput expression – 100+ genes/week)

Improve learning systems for PhytoIntel Initial focus on Biodiesel (oil composition, phosphate content) using At leveraging into Brassica and soybean 

Secondary focus rice as model for corn/sugarcane/sweetgrass (C4, bioethanol)

Meeting future energy demands initiatives

We are the (COPY)

Meeting future energy demands initiatives

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