The device cloud helps the platform remain adaptive to changes in industrial standards, communication protocols, and vendor-specific application protocols for sensors and gateways. It has an extensive device management layer handling the entire lifecycle of devices connected to the platform. 

Device lifecycles also include an authentication process, which allows the Datalkz to identify stray devices and keep them out. The authentication mechanism supports the latest token-based standards for new generation gateways and sensors, as well as manual workflows for legacy field gateways and sensors.

The platform enables domain experts to directly coordinate and provide impactful guidance and tuning into the system using APIs and ML play, a machine learning studio that trains data sets using live data from the assets.

Identity management within Datalkz ensures simple handling of user/device identities. It provides the capability to integrate with existing organizational identity databases or third party identity stores.

Building applications is made easy via managed service offerings. Alongside standard product offerings (Building Talkz, Machine Talkz), customer specific developments can be smoothly developed atop existing functionalities, thanks to the modular API architecture.

Collaborative development and customization of products is fully enabled. All APIs in the platform are managed through the API gateway, which aids security management, access throttling, and standardizing the access of APIs by developers (both internal and community). Datalkz uses state of the art API management standards.