Innovate at scale with IoT and Data Science
Develop your IoT solutions on one collaborative platform
In 3 Steps to Your Own IoT Product
Step 1
Everything begins with the right tool. You bring your experts—from engineer to data scientist— in one place.
Speed up IoT development: Make processes transparent and minimize communication gaps. The IoT and AI platform takes care of the technical details, you focus on your solution.
Step 2
Create the long-term foundation for the iterative development of IoT solutions.
Bring your machines and sensors to the platform from any location. Develop IoT applications. Make these available as packages in real-time on any number of IoT devices to collect initial device data.
Step 3
Train your models in the cloud and roll them out as IoT apps on your edge devices in just a few steps.
Use custom apps to collect data from IoT devices and other sources. Manage these on a comfortable data platform designed for the needs of engineers and data scientists.
Use cases
Cases in Mobile AIoT
Collaboration
For Everyone Working with Data
The IoT and data science platform that fosters a culture of collaboration
Managers
👍 Distribute access rights and keep track of the progress of your projects on a unified data analytics platform.
👍 Benefit from simplified reusability and automation.
👍 Save resources and costs with IoT data analytics and machine learning.
Engineers
👍 Work with the programming environments and protocols of your choice to make data available to data scientists.
👍 Monitor and manage IPCs and applications from a central location.
👍 Use the devices, industrial PCs, and sensors that convince you—the platform is hardware-agnostic.
Business analysts
👍 Integrate sensor data into the tools of your choice and enrich them with additional data using a single analytics platform.
👍 Develop custom queries on data models using PostgreSQL or Python.
👍 Generate analyses and live presentations quickly and easily. Provide data scientists and managers with customized dashboards.
Data scientists
👍 Develop deep learning and ML models in data science workbooks with native PostgreSQL or Python based on the data collected by engineers.
👍 Make ML models available to engineers for use on the IoT device.
👍 Create automations quickly and easily, from covering your IoT edge analytics to building an entire IoT system.
