what we do
We develop and deploy machine learning and artificial intelligence solutions, leveraging shape analytics approaches to enhance state-of-the-art methodologies.
Using these approaches, we help you make the most of the data you have, identify the data you want, and get the answers you need.
Our approaches provide a common language to leverage data from video, audio, motion, temperature, and other sources to improve AI models over any single modality.
We help you make the most of your data while minimizing uncertainty in your analytics pipelines. Our explainable, verifiable AI approaches remove the black box and reduce uncertainty of results in novel scenarios.
From information-conscious data compression methods to meaningful feature extraction for optimal machine learning, our signal processing approaches provide end-to-end analytics solutions for time series data.
We specialize in extracting geometric descriptors from data. Parsimonious shape descriptors enable real-world impact of machine-learning methods on high-dimensional and noisy datasets.
Whether your focus is protection against pests, environmental monitoring, or soil management our analytics approaches for UAV, rhizotron, or ‘omics data can help further your crop management program.
Distinguish normal, abnormal, and known nefarious network traffic, all without the need for decryption and violating users’ privacy.
Design and analyze robust sensor networks in the unpredictable wild, and leverage informative but compact data representations for efficient energy consumption.
Food & Beverage
From operational efficiency improvements to contamination detection, learn from the microorganisms that make your favorite beverages and foods.
Whether your data source is wearables, electronic medical records, or ‘omics data, our explainable AI approaches help researchers and practitioners turn data into knowledge.