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OUR PROJECTS

  1. AGRICULTURE AND GEOSPATIAL
    Geospatial Big Data Architecture and Engineering for Analytics
    Beginning in Q4 2016 we began implementing a big data pipeline for a major biotech/agricultural services company operating in the St. Louis area. It incorporated a variety of geospatial data sources and was cloud-based.
  2. AGRICULTURE AND GEOSPATIAL
    Deep Learning for Image Analytics
    In Q3 2017 we began planning and implementing deep learning software for an early-stage startup in the St. Louis area. The software was to run on a variety of remotely sensed image sources, to include drone imagery.
  3. AGRICULTURE AND GEOSPATIAL
    Climate and Biome Model Interpretation
    We have researched the migration of plants northward and upward due to climate change in the northern hemisphere, particularly in the Arctic.
  4. BIOTECH
    3D Genome and Proteome Visualization
    We used open-source software to provide a visualization mechanism for generated genome and proteome data, providing a unique way of visualizing the underlying connections between segments of the data. You may visit the BioViewer test server at http://bioviewer.deepscience.ltd to navigate the data for yourself.
  5. BIOTECH
    Molecular Discovery
    In Q4 2018 we developed a deep reinforcement learning system for finding similarly-structured molecules to a particular molecule. We then adapted this system to find molecules with high binding affinities to a particular molecule.
  6. BIOTECH
    Implant Design to Treat Type II Diabetes
    We developed an implant design that holds promise as another step toward the treatment of type II diabetes. The details of this challenge are available here. We collaborated with a major pharmaceutical company and a partnering laboratory to implement and evaluate our design over the course of several years.
  7. BIOTECH
    Real-Time Determination of Cardiac Spheroid Internal Pressures Using Photoelastic Polydimethylsiloxane Microspheres
  8. CLEANTECH
    Efficient Process Wastewater Treatment
    We conceived of a non-reverse-osmosis method to efficiently remove salt, boron, and organic materials from industrially produced water at scale. This water may be sourced from the ground through hydraulic fracturing, or produced in an industrial process. Nonetheless, the end goal is to return the water to a condition suitable for agricultural use. The details of this particular challenge are available here.
  9. CLEANTECH
    Carbon Sequestration
    We are currently researching a sonochemical means of CO2 sequestration.
  10. CLEANTECH
    AI-Driven Aerosol Monitoring System
    In Q2 2018 we submitted plans for a system that would determine concentrations of particulate matter using input from an ultra-small NIR sensor. The system would use deep learning to compare sensor output with labeled data from an accurate sensor.
  11. CLEANTECH
    Active Pumping of Oil through a Porous Hydrophobic Matrix to Achieve Rapid and Continuous Oil/Water Separation
  12. CLEANTECH
    Cost-Effective Metering of Energy Use in an Ascending Pipes Distribution System
  13. CLEANTECH
    Replacing Optical Glass with Transparent Zirconia
  14. INFOTECH
    Artificial Intelligence-Guided Navigation in Virtual Reality
    We submitted plans for a system that would enable users to intelligently navigate a 3D environment to carry out mission objectives using AI-driven VR software. We also built out such a system and used it to navigate a virtual 3D environment.
  15. INFOTECH
    AI-Driven Moderation Helper
    We developed an AI application to monitor Facebook groups, analyze content for problematic communication (profanity, hate speech, disruption), and to report that content to a public channel for moderators to investigate.
Address

32135 Castle Ct, Ste 208
Evergreen, CO 80439
by appointment

Contacts

Phone: +1 303-800-5707