01
Store, ingest and manage data from multiple sources at speed and scale.
02
Facilitate AI simulation and modeling, back test hypotheses and deploy predictive analytics at scale.
03
Combine historical temporal vector data with real-time data streams.
04
Get insights to machine operators, data scientists and energy grid practitioners faster.
05
Generate analytics at the edge with low-cost compute resource to maximize space.