Most AI projects fail not because of the model - but because the data beneath it is fragmented, stale, and siloed. The Rayven Platform delivers an AI data fabric: a connected, real-time, unified data layer your AI can run on from day one.
Not because the models are bad. Not because the budget ran out. Because the data beneath the AI is fragmented, siloed, and stale - and no one built the foundation first.
Every AI model needs clean, connected, real-time data to give accurate, business-specific answers. Most businesses don’t have that. They have data scattered across a dozen systems, updated on different schedules, formatted inconsistently, with no live connection between any of them. The model isn’t the problem. The foundation is.
A senior Rayven engineer reviews your current stack, identifies exactly where the data gaps are blocking AI, and maps the fastest path from where you are now to a working AI data fabric - at no cost and no commitment.
Integration, Data, Execution, Presentation + Governance - scored against what your AI use cases actually need.
Fragmented sources, stale pipelines, governance gaps - named, prioritised, and shown in plain language.
Not a generic AI roadmap. A specific starting point matched to your data sources, systems, and sector.
Not a sales handoff. The person you speak with is the person who builds. Ask anything.
5/5 across 140+ verified reviews · 240+ deployments live
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The Rayven Platform delivers the AI data fabric through five unified layers - each doing a distinct job, all working as one. There is nothing to stitch together. Nothing to manage separately. You get a single, governed, real-time foundation from day one.
600+ pre-built connectors cover the full stack - ERP, SCADA, PLCs, IoT sensors, REST APIs, flat files, data streams. A custom connector builder handles anything not pre-built. Every connection is bidirectional and real-time, so data flows in and decisions flow back out.
Every connected source lands in a unified, real-time data platform - structured and governed from the moment it arrives. No preparation pipeline to build separately. No data engineering overhead. AI-ready data is the default output, not a project milestone.
10 native AI capabilities including predictive analytics, agentic AI, and logic-driven automation. The Execution layer doesn’t just analyse - it acts. Decisions are written back to connected systems in real-time, including legacy OT equipment that was never designed for AI. Existing assets get smarter without being replaced.
Custom operational apps, management portals, field data capture tools, mobile dashboards, and conversational AI interfaces - all built on the same platform. When automation warrants it, the Presentation layer is bypassed entirely and decisions execute without human involvement.
Role-based access control, end-to-end encryption, full audit logging, data residency options, and sovereign hosting capability for Australian organisations with strict data requirements. White-label deployment available across every layer. Compliant by design - not retrofitted.
Most platforms address one part of the data-to-AI problem. Rayven delivers all five stages as a single, managed layer - so there are no gaps between the stages where AI projects get stuck.
Every IT, OT, IoT, and data source connected bidirectionally. 600+ pre-built connectors. Nothing left isolated.
Real-time processing, ETL, and AI-ready structuring. One live, governed data platform. No data prep required before AI can run.
AI-led decisions and agentic automation run on live data - and write results back to your connected systems in real-time.
Intelligence reaches people through apps, portals, dashboards, and conversational AI - or executes autonomously when no human step is needed.
Enterprise security, access control, audit logging, and data residency - built into the same platform from day one. Never a bolt-on.
Most AI platforms stop at analysis - they surface an insight, then leave it to a human to act. Rayven’s Execution layer closes that loop automatically: AI decisions are written back to connected systems in real-time, with no manual step in between.
Because integration is bidirectional across all five layers, every system Rayven connects becomes part of a live, intelligent operational loop. The longer the fabric runs, the more it learns. The more it learns, the more it automates. Your existing technology stack grows smarter over time without you rebuilding it.
Having all our operational data at your fingertips gives us instant visibility of how things are performing.
Every Rayven platform deployment comes with the people who built it. That’s not a support ticket queue. It’s the engineer who ran your project, available after go-live.
The Rayven Platform arrives with 70% of what you need already built - connectors, data structure, AI capabilities, security. The remaining 30% is configured specifically for your environment. That’s how a working solution ships in two to twelve weeks, not two years.
We don’t hand off to a third party at go-live. The Rayven team manages, evolves, and extends what we build - so it grows with your business instead of becoming another technical debt problem. Most clients expand their use of the platform after seeing results.
Rayven is designed and delivered in Australia, with sovereign deployment options for organisations with strict data residency requirements. Your data stays where you need it to. On-premise, cloud, edge, and air-gapped deployments are all supported on the same platform.
Not a curated handful - 140+ reviews across independent platforms, all at 5/5. The rating reflects what our clients actually experience: a team that treats their problems as problems to solve, not scopes to defend. It’s the number we’re most proud of.
Stitching together point solutions delays AI by months and creates a data architecture no one owns. Building from scratch takes years. Rayven delivers the full AI data fabric in weeks - and keeps it running after go-live.
| Capability | Rayven AI Data Fabric Full platform + team | Build your own DIY data engineering + AI | Off-the-shelf AI Point solutions stitched together |
|---|---|---|---|
| Real-time, multi-source data integration | ✓ | ● Months of engineering | ✕ Data silos remain |
| AI-ready, governed data layer from day one | ✓ | ● Built separately, maintained separately | ✕ Vendor-defined schemas only |
| AI execution that writes back to connected systems | ✓ | ● Requires bespoke integration work | ✕ Analysis only - no closed loop |
| Legacy OT + dumb sensor support | ✓ 600+ connectors | ● Custom driver development required | ✕ Cloud-native only |
| Custom apps + operational portals | ✓ Same platform | ● Separate development project | ● Vendor UI only |
| Enterprise security + sovereign hosting | ✓ Built in from day one | ● Each layer secured separately | ● Varies by vendor |
| Time to first working solution | ✓ 2 - 12 weeks | ✕ 12 - 24+ months | ● Faster, but narrowly scoped |
| Post-delivery support + evolution | ✓ Same team. Always. | ✕ Internal resource required | ✕ Vendor roadmap dependency |
A fixed process. A fixed scope. A fixed price. You know exactly what gets built, when it ships, and who is responsible for it.
A senior Rayven engineer reviews your current stack. Integration points, data sources, AI blockers, and the fastest path to a working fabric are all mapped in a 30-minute session. No cost. No commitment.
Rayven architects your AI data fabric: which sources connect, how data is structured for AI, which AI capabilities deploy first, and what the Presentation layer delivers to your team. Fixed scope agreed before build starts.
The Rayven team builds your AI data fabric using the platform - 70% is already done. Connectors deployed, data model live, AI capabilities configured, first applications built. You review at each stage. Nothing is hidden in a black box.
Your AI data fabric is live. The Rayven team monitors, manages, and extends it - the same people who built it. Most clients expand to additional use cases within three months. Your fabric grows without you starting over.
Answer twelve questions about your current stack and get an AI readiness score across all five platform layers - Integration, Data, Execution, Presentation, and Security.
You’ll see exactly where your data foundation is strong, where the AI blockers are, and what to prioritise first. No sales call required to get the report.
Free · Takes 4 minutes · No account required
An AI data fabric is a connected, real-time, unified data layer that sits across your entire business - structured so that AI can be deployed on top of it immediately, without data preparation work. It brings together every data source you have (IT, OT, IoT, files, APIs) into a single governed platform. The Rayven Platform delivers this fabric through five integrated layers: Integration, Data, Execution, Presentation, and Security + Governance.
AI tools and data platforms each solve part of the problem. An AI tool needs clean, connected data to be useful - which most organisations don’t have without engineering effort. A data platform unifies data but doesn’t include AI execution or the apps people need to act on insights. The Rayven AI data fabric delivers all five layers in a single managed platform. There is nothing to stitch together.
A data warehouse or lake stores historical data - it is not real-time, bidirectional, or AI-execution-ready without significant additional engineering. The Rayven AI data fabric connects to your existing data warehouse as a source, combines it with live operational data, and adds the Execution layer that acts on the combined data in real-time. You keep what you have; you get the layer above it that makes it AI-capable.
No. The Rayven Platform connects to and integrates with your existing systems - ERP, SCADA, PLCs, IoT sensors, legacy OT, flat files. Integration is bidirectional, so AI decisions flow back to your existing systems. Legacy equipment that was never designed for AI becomes AI-enabled without being replaced. The AI data fabric is the intelligent layer above your current stack, not a replacement of it.
Working solutions go live in two to twelve weeks from confirmed scope. The average across all Rayven deployments is three weeks. This is possible because 70% of the platform is pre-built - connectors, data structure, AI capabilities, security. The remaining 30% is configured for your specific environment. Fixed scope and fixed price means no timeline surprises.
Yes. Rayven is Australian-built and supports sovereign deployment for organisations with strict data residency requirements. Cloud, on-premise, edge, and air-gapped deployments are all supported on the same platform. Data can stay entirely within Australia - or within a specific environment - without any platform capability being lost. Talk to us about your specific requirements at the assessment stage.
The free assessment is the fastest way to get answers specific to your environment. A senior Rayven engineer will review your stack and answer every question you have - no sales pitch attached.
Book my free assessmentA senior Rayven engineer reviews your stack, identifies your AI blockers, and maps the fastest path to a working AI data fabric - in a 30-minute session with no conditions attached.
Takes 30 seconds to request. We’ll confirm a time within one business day.
By submitting you agree to Rayven’s Privacy Policy. No spam. No pushy sales calls.