C360 helps payors, providers, and suppliers analyze massive amounts of clinical, claims, pharma trial, EMR, and sensor data to clarify and optimize decisions about how best to care for patients and reduce the overall cost of care.


Predictive Maintenance

Aggregate petabyte-scale data from sensors, devices, enterprise systems, and operational systems to generate accurate predictions of asset failure.

Our Predictive Maintenance provides planners and operators with comprehensive insight into asset risk, enabling them to maintain higher levels of asset availability, deliver services-based differentiation, and reduce maintenance costs.

Energy Management

Reduce energy costs and improve building operations through real-time tracking, analytics, and optimization.

Our Energy Management uses machine learning techniques to enable accurate forecasting, benchmarking, building optimization, demand response, and anomaly detection to lower costs, improve operations, and meet energy-efficiency goals.

Sensor Health

Ensure the operational health and optimal deployment of IoT sensor devices with machine learning.

Our Sensor Health uses advanced AI/machine learning to predict sensor failures and identify sensor and network health issues with a high degree of precision.

Use Cases

Clinical Workforce Optimization

Improve patient experience while reducing operational costs with AI-enabled nurse and staff scheduling.

Early Chronic Disease Detection

Identify highest-risk patients for life-threatening diseases.

Patient Engagement

Enhance medication adherence and lifestyle changes with customized treatment and messaging.

Case Studies

Transform Your Enterprise