Platform
Accessible on any device—compatible with any system.
A platform that no one uses doesn’t help anyone. tensoryze reduces complexity, runs on everyday devices, is built on open standards, and provides your teams with the interfaces they need to build their own applications.
Onboarding
On-the-job training
Operators, shift supervisors, maintenance technicians, and administrators can find the instructions they need right away with just a few clicks. Training videos and interactive walkthroughs in German, tailored to specific roles, are available directly on the platform—no separate training portal, no additional login required.
- Training videos for each role and use case—concise and in German
- Interactive step-by-step instructions right in the UI
- Included and updated with every update
Mobile
With tablet on the shopfloor. On the phone while traveling.
The key features—line status, alarms, shift log, and live stream—can be accessed just as easily on mobile devices as on a desktop. The user interfaces are designed for use while wearing gloves, on the go, and in noisy environments: large touch areas, clear contrasts, and short navigation paths.
- Notifications for Alerts and Tickets
- Voice input for hands-free situations
- Offline tolerance for unstable Wi-Fi areas in the hall
Responsibility
Open architecture—so you can remain independent.
We know what it means to commit to a provider. Choosing a production data platform is a long-term decision—and we want you to be able to reconsider that decision at any time.
Industry Standards
The established standard for each layer: OPC UA and Sparkplug B for machines, MQTT and REST for IT integration, and MCP for AI agents and LLMs. No proprietary protocols, no lock-in to a specific vendor’s stack—existing tools can continue to be used.
Open-source components
Key components include established open-source software. You can see what’s running—and, if necessary, continue to operate it yourself.
No hidden costs
Your data belongs to you. Machine data, reports, and platform configurations can be exported at any time—no special project, no extra charge.
For Developers
A foundation for your own applications.
Anything users can do in the UI is also available programmatically. Your developers and data scientists use the same functions to automate routine tasks in scripts, build their own applications on the platform, or connect to external systems directly.
All platform features. Directly accessible via API and SDK.
REST API
Every feature of the platform is accessible as an HTTP endpoint. Stable, well-documented interfaces for your teams and external systems.
- Versioned REST API with the OpenAPI 3.x specification
- Swagger UI for interactive testing right in the browser
- Authentication via OAuth 2.0 tokens or OIDC
Python SDK
Official Python SDK for data access, model training, and platform automation. Direct access to the unified namespace, data products, and the model lifecycle—from the notebook to the production pipeline.
- Packages for platform access, data integration, and ML pipelines, with examples and tutorials in the documentation
- Compatible with notebooks—ready to use in Jupyter Notebook and VS Code
- Typed Clients with Auto-Complete
Streaming & Webhooks
Event-driven integration via MQTT, webhooks, and server-sent events. External systems respond to alarms, shift changes, or model results—without polling.
- Server-Sent Events for UI and Service Streams
- MQTT Bridge for Event-Driven Integrations
- Webhooks with Signed Payloads for External Systems