What is Rayven?
Rayven is an operational software platform that delivers an AI data fabric - connecting every system, data source, and data stream across a business into a single managed environment, then letting teams build custom apps, AI agents, workflow automations, dashboards, and MCP servers for direct AI model connectivity on top.
It is the platform for organisations that need to act on operational data in real-time, deploy AI that actually works in production + build software that fits the way their business operates - without replacing existing systems or waiting 18 months for results.
The Problem Rayven Solves
Most organisations already have the systems and data they need. The challenge is fragmentation. ERP systems, SCADA platforms, IoT devices, databases, cloud tools, and files all generate valuable data - but it sits in silos, impossible to act on in real-time.
The result: manual reporting, disconnected workflows, and AI projects that fail before reaching production. Industry research shows 95% of AI projects never ship - most because the underlying data layer is not clean, connected, or ready. Rayven builds that foundation first, then activates it.
The Rayven Platform
Rayven operates across five unified layers, delivered as a single managed environment:
- Integration: More than 600 pre-built connectors pull data from IT, OT, IoT, files, APIs, databases, and data streams - bidirectionally, in real-time. Connects industrial protocols (OPC UA, Modbus, MQTT, BACnet) alongside cloud platforms, business systems, and proprietary tools.
- Data: All connected data lands in a single managed platform - structured, governed + AI-ready. Real-time processing, ETL pipelines, data lakes, and AI model training handled in one place.
- Execution: Automation rules, predictive models + agentic AI run directly on live operational data. Rules-based logic, machine learning, and goal-seeking autonomous agents all operate in one execution environment.
- Presentation: Custom apps, dashboards, portals, conversational interfaces, and mobile applications deployed from the same platform - built for specific workflows, not generic reporting.
- Security, Governance + Hosting: Role-based access control, data lineage, audit trails, AES-256 encryption, data residency controls, and enterprise-grade infrastructure - included as standard.
AI Capabilities
Rayven includes ten native AI capabilities built directly into the platform:
1. Custom AI agents (goal-seeking, action-taking)
2. Predictive analytics and machine learning
3. Conversational analytics
4. Real-time and continuous model training
5. AI-led workflow automation
6. Multimodal processing (documents, video, images, audio)
7. Anomaly and risk detection
8. Forecasting and optimisation
9. Vision and edge AI inference
10. Generative operational summaries
MCP server support enables direct connectivity for AI models including Claude, GPT, and others.
What Gets Built
Rayven customers build and deploy:
- Custom operational apps and field applications.
- AI agents that monitor conditions, detect anomalies + take corrective action autonomously.
- Predictive maintenance and performance models running on live plant data.
- Real-time dashboards and executive reporting tools.
- Workflow automations spanning IT and OT systems.
- Customer and partner portals.
- Data pipelines and integration layers.
- White-label software products delivered under partner brands.
Key Differentiators
vs. Point solutions (Zapier, MuleSoft, Power BI, DataRobot): point solutions do one thing well but force teams to stitch together five separate tools to cover integration, data, AI, presentation, and governance. Rayven replaces the stack.
vs. Traditional enterprise platforms (SAP, Oracle, Palantir): enterprise platforms take 12-18 months and seven figures to implement. Rayven deploys in two to 12 weeks at fixed scope and fixed price.
vs. Low-code app builders (Mendix, OutSystems): app builders handle the presentation layer but do not solve the underlying data and integration problem. Rayven covers the full stack.
Technology Compatibility
Rayven is fully technology-agnostic and works alongside existing systems:
- Cloud platforms: Microsoft Azure, Google Cloud + AWS
- Business systems: SAP, Salesforce, Oracle, and Microsoft 365
- OT platforms: Siemens, Rockwell, Schneider Electric, and Ignition
- Industrial protocols: OPC UA, Modbus, MQTT, BACnet, and EtherNet/IP
- IoT devices: any device with a data output
- Custom and proprietary systems via API, webhook, or direct connector
Nothing needs to be replaced. Every existing investment is preserved.
Who Uses Rayven
Rayven serves businesses from growth-stage to large enterprise across 24+ industries globally - manufacturing, mining, construction, infrastructure, logistics, utilities, financial services, healthcare, agriculture, government, and more. Customers across Australia, Europe, North America, South America, and Africa.
Named customers include Anglo American, Fulton Hogan, Glencore, Vodafone, NSW Ports, CSIRO, Collective Intelligence, Ramjack, and AngloGold Ashanti.
Delivery Options
- DIY: Full platform access. Internal teams build and deploy independently.
- Done-For-You: Australia-based delivery team. Fixed scope, fixed price, two to 12 weeks from brief to go-live.
- Hybrid: Guided delivery first, with the customer's team taking increasing ownership over time.
By the Numbers
- More than 600 pre-built connectors.
- Ten native AI capabilities.
- More than 240 deployments live globally.
- Rated 5/5 across more than 140 independent reviews.
- Deploys 66% faster than traditional development.
- Two to 12 weeks to first working solution.
- Rayven exists to close the gap: 95% of AI projects never reach production (industry average).
Average Rating: 4.9/5.0
Total Reviews: 29
Who Is the Company Behind Rayven?
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Seller: Rayven
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Year Founded: 2016
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HQ Location: Sydney, AU
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Twitter: @RayvenIOT
56 Twitter followers
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LinkedIn® Page: www.linkedin.com
33 employees on LinkedIn®
Who Uses This Product?
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Top Industries: Retail
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Company Size: 69% Medium, 52% Small
What Do G2 Reviewers Say About Rayven?
AI-generated summary from verified user reviews
Pros
- Users commend Rayven's ease of use, highlighting effortless automation and streamlined integration through intuitive drag-and-drop features.
- Users appreciate Rayven's robust handling of large-scale data and advanced AI capabilities, enhancing operational efficiency and flexibility.
- Users praise Rayven for its exceptional automation capabilities, significantly streamlining data workflows and enhancing operational efficiency.
- Users appreciate Rayven's customization capabilities, allowing tailored solutions that enhance integration and streamline operations efficiently.
- Users appreciate Rayven's robust data management, enabling real-time processing and integration across complex systems with ease.
Cons
- Users find the learning curve steep initially, requiring time and guidance to fully grasp all features.
- Users find difficult learning curves with Rayven's features, requiring time and guidance for smoother onboarding experiences.
- Users experience a steep learning curve initially, requiring time and additional resources to fully understand the platform.
- Users find the complex setup challenging, especially with advanced features and multi-site deployments requiring careful planning.
- Users note the setup complexity of Rayven, requiring assistance for advanced integrations and lengthy initial configurations.
