Pain-point 1:
Data is siloed + can't be collated or analysed together.
Achieve a unified, real-time view of all your data.
In the intricate world of industrial operations, data often exists in silos, hindering the flow of information and the ability to make swift, informed decisions. The challenge for modern industries is not just in gathering data, but in uniting and analysing in it real-time, giving them the chance to do something with the insights provided by it before the opportunity to optimise has been lost.
Integrated data, AI + IoT platforms solve this by implementing an extreme approach to interoperability, enabling you to ETL and analyse data from anywhere and then share insights across connected systems in real-time.
Business
Symptoms:
Inefficiency in Operations: Lack of a unified data view results in redundant and cumbersome processes, delayed responses to operational issues, and missed opportunities for optimisation.
Impaired Decision-Making: Decisions are based on incomplete or outdated information, which leads to suboptimal outcomes and missed market opportunities.
Difficulty in Scaling + Developing Operations: Siloed data makes it challenging to scale operations or implement new technologies effectively.
How our integrated data, AI + IoT platform solves it.
The Rayven platform can connect with any hardware capable of sending data to the cloud. We can also extract data from closed systems using custom scripts or software solutions to achieve full integration.
How we integrate different data sources:
Hardware with TCP/IP Capabilities: Devices and machines equipped with TCP/IP can easily connect to the platform over the internet.
Gateways: IoT gateways can seamlessly integrate with our platform, aggregating data from multiple sources and sending it to the cloud for analysis.
Systems with APIs: The Rayven platform can connect with any system that offers an API, allowing for the exchange of data between different software applications and hardware devices.
Support for Various Protocols + Standards: The platform supports a variety of communication protocols and standards beyond TCP/IP, such as MQTT, AMQP, Modbus, and SNMP. This broad support ensures compatibility with a wide range of industrial devices and systems.
Cloud Integration: Integration with cloud services (like AWS S3 and AWS Kinesis) enables the Rayven platform to handle large-scale data storage and processing.
Custom Scripts: For systems that are locked or have unique comms needs, we allow you to develop and deploy custom scripts. This enables us to integrate:
- Proprietary or Closed Systems
- Legacy Systems
- Complex Integration Requirements
This custom scripting ability also enables us to:
- Add Enhanced Functionality: Custom scripts can also be used to add or enhance functionalities in existing systems, thereby extending their capabilities and lifespan in the context of modern IoT applications.
- Overcome Security or Protocol Barriers: Some systems have strict security protocols or use uncommon communication standards. Custom scripting allows us to safely and effectively integrate with these systems without compromising operational integrity or security.
Advanced Features:
Device Lifecycle Management
Covers the entire device lifecycle including software updates, diagnostics, provisioning, and decommissioning.
Data Security + Compliance
The platform emphasises robust protocols for securing data in transit and at rest, along with stringent device authentication and authorisation - all whilst adhering to standards.
Scalability +
Adaptability
The platform is designed to scale, accommodating an increasing number of devices and data streams, which is essential for growing industrial operations or roll-out at multiple sites.
FTP
Support
In scenarios where direct connectivity is not feasible, the platform accommodates data acquisition via FTP, allowing manual uploads of data files and expanding its adaptability.
Step 1: Integrate + Ingest Data
Our platform has 20+ different connectors (nodes) that are easy to configure and enable you to connect data feeds and systems.
Connecting at a deeper, protocol-level than a simple plug-in, our platform's approach enables bidirectional data flow in the native protocol of each connected device in various formats, including JSON, XML, CSV, plain text, and more.
Easily integrate:
SaaS + Cloud Systems
IoT Devices + Sensors
Data Lakes + Warehouses
On-Premise Systems
Proprietary Tools
Third-Party Data Feeds
Business Systems
Operational Technologies
Step 2: Process + Normalise
Following ingestion, data undergoes processing which includes validation, normalisation, and potentially transformation, aligning it with a standardised format for analysis and storage.
Step 3: Store + Access
The processed data is then stored in scalable and secure databases or data lakes, which is adaptable for cloud or on-premises setups. This data can then be accessed by your other tools and analytics platforms, as well as via data visualizations, dashboards and solutions built on the Rayven integrated data, AI + IoT platform.
Equipped for complex data analytics, the platform enables functionalities like trend analysis, predictive maintenance, and real-time monitoring.
Skip the theory + speak to an expert.
Save time and chat directly with one of our experts to discover how integrated data, AI + IoT platforms can solve your pain-points.
Speak to our team
Rayven is ultra-interoperable middleware, as well as a complete toolkit for creating world-leading integration, real-time data + IoT solutions.
Our platform enables you to combine and analyse data from anywhere in real-time - no matter the format.
It comes with ready-to-go connectors for 20+ data protocols, complete data and industry 4.0 toolkits, as well as simple drag-and-drop interfaces for creating tailored data visualisations, building unique dashboards and applications that fit your business perfectly, and creating custom workflows, automations, and machine learning algorithms.