AI & Machine Learning Operationalization (MLOps) Software
Developer of a health data management and analytics platform designed to uncover insights from disparate silos of benefit and risk data. The company's platform integrates and validates all data sources into a single secure cloud space to help users gain control of their data and generate a 360-degree view of their population, enabling clients to use the total rewards and risk data differently to manage and mitigate business and population risk easily.
- Revenue
- $4.1M
- Customers
- -
- Year founded
- 2014
- Funding
- $25M
- Team size
- 100
- Location
- United States