Industrial Data as a Service
Delivering real-time high-quality data for AI and digital twins
What is Industrial DaaS?
Projects involving industrial data may use up to 80% of their time on data preparation. Turning noisy and complex data into high quality event data is tedious.
Industrial Data-as-a-Service (DaaS) delivers high quality event-based data from your industrial time-series data. Prescient's IDaaS approach enables some of the largest industrial companies to do more data science and DataOps.
Collect and process data from all locations
Our data workflows are modular, graphical, and hierarchical. They scale horizontally, vertically, and geographically to support your massive data needs. Best of all, you get to see exactly how your data gets processed through the graphical steps.
Less data volume when we process data locally at the data source. No need to send it all to the cloud.
Less data consumption when deploying our data engines. No need to deploy containers for every little iteration.
Supports popular modern existing edge data architecture like Azure IoT Hub and AWS Greengrass.
A typical solution takes 1 month to build, speeding up your data transformation. Start seeing results.
Horizontal, vertical, and geographical scaling
A distributed data engine that scales with the size and complexity of your data. Handles massive number of data tags in OSI PI and Snowflake.
Visually explainable workflows that scale
Why use data scripts when you can use visual workflows? Our low-code approach makes it faster to build, easier to understand, and scales better with complexity.
"Prescient Designer enables engineers to work on complex edge data projects. It bridges the gap between OT and IT and turns complex edge solutions into child's play."
Kurt Braun | Sr. Application Engineer IIoT @ WAGO
Design your solution with us.
Have a unique question on how Prescient Designer can enable your edge data transformation?