Ingest measurements from data acquisition (DAQ) and industrial automation (PLCs) equipmeent with LabVIEW and Python APIs
Leverage pre-defined data models and schemas for storing industrial automation and automated test meaurements
Dynamically define data streams and pipelines for analytics including data cleansing, aggregation and anomaly detection
Build application-specific machine learning and deep learning models using best-in-class algorithms and frameworks
Interactively query, process and visualize near real-time and historic measurements with Jupyter Notebook
Develop custom application dashboard with simple REST APIs and your preferred front-end framework
Standard (On Premise) |
Enterpise (On Premise) |
Hosted (Public Cloud) |
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Support Tickets | |||
Email / Chat | |||
Phone Support | |||
Remote Troubleshooting | |||
Platform Training | - | ||
System Monitoring | - | ||
Consulting Services | - | ||
Response Time | < 24 hrs | < 8 hrs | < 8 hrs |
Evaluate Now | Evaluate Now | Evaluate Now |