Collectu Core

The open Python core for your digital transformation.

AI-Powered No-Code Configuration

Data pipelines can be configured using modules. Modules abstract functionality in a generic way that would normally have to be coded manually. No programming skills are required to configure pipelines that collect, process, visualize, and store data in seconds.

You can create and edit complex data flows using natural language. Start no-code - scale with full-code flexibility.

Configure

AI Agents and MCP Integration

Design, deploy, and manage AI agents directly within Collectu. Collectu integrates LangChain-style workflows with any LLM provider.

Connect systems and register modules or pipelines as tools via the MCP server, extending agent capabilities effortlessly.

Retrofitting every system to make it AI-ready!

AI Agent

Connect Different Data Sources and Target Systems

Collect, merge and process data from OPC UA, MQTT, TCP, REST, Beckhoff ADS, Siemens S7 and more. Store results in SQL databases, Excel, or time-series systems.

Data Sources

Collectu Hub

Central repository for modules and configurations. Share knowledge, reuse best practices, and manage remote applications.

Hub

Decentralized and Portable

Runs on Windows, Linux, edge devices, or servers. Supports Docker and Podman for scalable deployment.

Decentralized

Dynamic Variables and Templating

Adjust configuration parameters at runtime based on previously collected data. Fully automated templating system.

Dynamic Variables

Connect Multiple Instances

Share data between Collectu instances to combine systems and locations seamlessly.

Instances

Mothership

Remote control of Collectu instances for updates, monitoring and configuration without firewall changes.

Mothership

Buffering

Prevents data loss by buffering unsent data and resending when connection is restored.

Buffering

Combine User Input With Other Data

Combine manual user input with automatically collected machine data via browser UI.

User Input

Direct Machine Learning

Train and deploy ML models directly in Collectu using Python frameworks.

ML

Realize Your Logic and Make it Web-enabled

Focus on your logic while Collectu handles APIs, logging, and error handling. Expose everything via REST.

Web