Internet of Things
Optimize IoT Business Processes to Scale with Affordable Machine Learning
Real-time sensor monitoring technology as an On-Prem or SaaS solution. See IoT behavior in real-time and reliability alert to changes in performance monitoring.
Utilize real-time streaming data to analyze behavior, create algorithms to find patterns in data, and create predictive models to forecast expected future performance. Create dashboards, graphs, and worksheets. Then share them across teams to unify internal knowledge and facilitate communication.
Detect anomalies in time series data from IoT devices and sensors in real-time. Anomalies are detected through abnormal behavior represented in spikes, dips, positive or negative trends, or any other type of outliers to the norm. Anomaly alerts can be either set manually or automatically detected by Circonus with alerts sent to actionable parties.
Use data analytics inside of Circonus to make decisions that directly impact organizational spend and operation costs. Accurately predict and foresee device failure, remaining life of an equipment, equipment end-of-life dates, and root causes of systemic failure. Take the knowledge learned to enable optimization of operational and maintenance costs.
Ingest millions of events from sensors to analyze, monitor, and improve manufacturing, operational safety, reliability, and user experience. Data driven decisions help craft products and create desirable and disruptive technologies across multiple industries and verticals.