
Data Virtualization Software
Developer of data processing and edge analytics software designed to deliver powerful real-time business and operational insights. The company's software uses machine learning and edge computing to process streaming data as it is generated in real-time at the edge without needing a message broker or central databases. Software combines and analyses data sources, builds a digital twin model or each source and finds critical events, anomalies and correlations in order to reduce data volumes, enabling businesses and governments to reduce, analyze, learn and predict from 'gray' edge data.
- Revenue
- $10.7M
- Customers
- -
- Year founded
- 2015
- Funding
- $25.4M
- Team size
- 36
- Location
- United States