Crosser Nodes
The Real-time Engine
Built for the Industry
Based on our in-house developed real-time analytics engine, the Crosser Node software allows you to collect any data source, build automated workflows to transform, analyze, and act on the data and integrate it using pre-built modules and connectors.
Collect Any Data
Collect streaming and batch data using any Protocol, any PLC/OT system or any Enterprise System. Select from the rich and ever-growing library of standard modules or use the open SDK to easily build your custom collector module.
Enterprise Ready
Process the data in the edge and take actions locally based on advanced business rules or your own ML model or code. Run local triggers with millisecond latency. Connect to Cloud Providers or your own datacenter for storage and historical analysis or integrate the streaming data with your Enterprise systems in real-time.
Real-time Power with In-Memory processing
The Crosser real-time runtime is built with C# on top of .NET Core and delivered in a Docker Container for maximum agility and flexibility.
- Deployed in a Docker container and runs on any Linux, Windows or Unix-enabled server or gateway.
- Run the container on a virtual machine (VM)
- Lightweight, only 200MB in footprint
- Built on .NET core
- Real-time processing of any data
- Millisecond latency
- High performance that scales with the hardware to over 100.000 messages per second
- In-Memory processing
Bring Your Own AI - Edge ML Ops Made Easy
There are many great ML frameworks and solutions in the market and our strategy is to let you choose.
The Node is designed to host different 3rd party frameworks and we currently support all Python based frameworks. Do you have another framework that you’d like to run in the Node as part of a Flow? Let us know.
Examples of Python frameworks supported:
- TensorFlow
- Scikit-learn
- Keras
- PyTorch
Real-time Streaming Analytics
Industrial machine data, IoT devices, enterprise transactions, events. Process your data in real-time.
- Ingestion and Processing of streaming and batch data
- Enrich, add metadata. Clean, prepare and normalize the data
- Move data continuously to your cloud storage / data lake
- Make your Big Data small with advanced filtering, aggregation and compression
- Detect outliers and anomalies in real-time with standard or custom algorithms
- Run your own ML models
Real-time Integration & Automation. Remove Data Silos
Leverage the Crosser Node for Hybrid Integration & Automation between on-premise data sources and cloud systems and services. Integrate with Intelligent Workflows.
- Collect data from any protocol, PLC, Hardware or system
- Streaming or Batch Data from databases
- Receives or retrieves data
- Build in MQTT broker and HTTP server
- IoT, OT and Enterprise Integration
- Any SaaS or Cloud Application
- Rich library of Connectors
Real-time Automation Workflows - Build Invisible Apps
Bots? Robot Process Automation? Not for us. We call it what it is:
Intelligent Workflows that empower processes across systems and platforms. Liberating people from doing repetitive, work-intense and time-consuming tasks:
- Collect data from any data source
- Build Flows with an easy drag-and-drop studio
- Configure business rules, conditions and triggers
- Add your ML model if needed
- Integrate with pre-built connectors
Total Flexibility with Hybrid Architecture and Microservices
Deploy the Crosser Node Docker container anywhere.
- Design the Flows in Crosser Cloud
- Orchestration, OTA updates and mass-configuration through Crosser Cloud
- Deploy the Crosser Node in the Edge, On-Premise or in any Cloud
- Leverages the advantages of Docker containers and microservices
