We add value to analytics projects in agriculture, biotech and cleantech, using the tools of big data and artificial intelligence to better understand our world.
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. It incorporated a variety of geospatial data sources and was cloud-based.
AGRICULTURE AND GEOSPATIAL Deep Learning for Image Analytics In Q3 2017 we began planning and implementing deep learning software for an early-stage startup. The software was to run on a variety of remotely sensed image sources, to include drone imagery.
BIOTECH/BIOINFORMATICS 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.
BIOTECH/PHARMACEUTICAL 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.
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.
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.
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.