Paradigm4 advances scientific and engineering insights by enabling scientists and data scientists to take full advantage of the scale, resolution, and diversity of public and proprietary scientific data to accelerate their research. Our translational analytics platform is a force multiplier, powering massively scalable analytics and machine-learning on multi-modal longitudinal and population-scale data sets. Leading Life Sciences, IoT, instrument, and research institutes use Paradigm4’s REVEALTM discovery engine for collaborative, reproducible research. The company was co-founded by renowned database researcher, Turing Award laureate MIT Professor Michael Stonebraker.
LESS DATA WRANGLING. MORE ANALYSIS.
Load, clean, and verify diverse sets. Align multi-scale, time-series data.
ANALYZE WITHOUT IN-MEMORY CONSTRAINTS
Scalable, in-database analytics like covariance and PCA
EXPLORE HIGHLY-DIMENSIONAL, DIVERSE DATA
Rapid n-dimentional selects, joins, windowing, and aggregation accessible from R and Python
SCALE RESOURCES ELASTICALLY
Massively parallel processing, on-premise or in a cloud
