32135 Castle Ct, Suite 208, Evergreen, CO USA (open by appointment)
tel (303) 800-5707

Our Projects

Overview

We have applied advanced technologies and problem solving within the following areas: Biotech, Cleantech, and Infotech. Summaries of each active or past project are as follows.

  • Implant Design to Treat Type II Diabetes
    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. We collaborated with a major pharmaceutical company and a research institution to implement and evaluate our design over the course of nearly a year.
  • Geospatial Big Data Architecture and Engineering for Analytics
    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.
  • Deep Learning for Image Analytics
    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.
  • Climate and Biome Model Interpretation
    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.
  • Molecular Discovery
    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.
  • Novel, Efficient Wastewater Treatment
    Novel, Efficient 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.
  • Artificial Intelligence-Guided Navigation in Virtual Reality
    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.
  • AI-Driven Aerosol Monitoring System
    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.
  • Oil/Water Separation
    Active Pumping of Oil through a Porous Hydrophobic Matrix to Achieve Rapid and Continuous Oil/Water Separation
  • Replacing Optical Glass with Transparent Zirconia
    Replacing Optical Glass with Transparent Zirconia: Finding a Suitable High-Temperature Replacement for Glass
  • Energy Use Metering in a Distribution System
    Cost-Effective Metering of Energy Use in an Ascending Pipes Distribution System
  • Determining Internal Pressures with Microspheres
    Determining Internal Pressures with Microspheres

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. Accuracy testing is still underway.
  • 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 research institution to implement and evaluate our design over the course of nearly a year.
  • Real-Time Determination of Cardiac Spheroid Internal Pressures Using Photoelastic Polydimethylsiloxane Microspheres

Cleantech

  • Carbon Sequestration: We are currently researching a sonochemical means of CO2 sequestration.
  • 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.
  • Novel, Efficient 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.
  • 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.
  • Active Pumping of Oil through a Porous Hydrophobic Matrix to Achieve Rapid and Continuous Oil/Water Separation
  • Cost-Effective Metering of Energy Use in an Ascending Pipes Distribution System
  • Replacing Optical Glass with Transparent Zirconia

Infotech

  • 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.
  • 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.
  • 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.
  • 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.