DataRobot integration that reaches the systems other tools can't.
Connect DataRobot to every OT, IoT, app + operational system your models run on. Feed its automated ML and prediction server with live operational features, and push predictions into the systems that act.
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Live demo · Claude querying DataRobot + ops via Rayven MCP
Trusted by 240+ teams across Australia + globally
DataRobot is brilliant at what it does. Useless at everything else your data + AI needs to touch.
AutoML trains on batch snapshots, the Prediction Server scores on inputs that trail operations, and predictions land in a table nobody wired back into the systems that act.
The integration tool you've already tried probably can't fix it.
App-to-app. Useful, until it isn't.
Connectors for DataRobot, Slack + a thousand other cloud apps. Cheap + fast for the easy half of integration. Where they hit a wall:
- Real-time OT, IoT and SCADA data that should feed DataRobot training and scoring
- ERP, work-order and operational apps that DataRobot predictions should drive
- Operational databases and lakes holding the source features
- Streaming event sources that should call the Prediction Server in real-time
OT, IoT, ERP, apps + operations. One platform.
The integration platform built for what other tools can't (or won't) reach - plus an AI data fabric, MCP server + app builder layered on top.
- DataRobot + every ERP, database and enterprise data system
- OT/IoT, ERP, apps, databases, streaming + custom-built connectors.
- Files, legacy SQL, FTP + custom-built connectors
- Real-time bidirectional sync, tier-aware + rate-limit-safe
- AI Data Fabric, MCP, automation + custom apps included
DataRobot + Rayven: AI, automation + tools that reach every system you run.
5 examples of what Rayven customers run on DataRobot + integrated systems. Built in weeks, not months.
Feed models live data
Real-time OT, IoT, SCADA and app data streams into DataRobot for training and scoring, so automated ML models learn from current operations rather than snapshots.
Predictions become actions
DataRobot Prediction Server outputs post to ERP, work orders and operational apps in real-time, turning a prediction into a task.
Event-triggered scoring
State changes and threshold breaches call the DataRobot Prediction Server in real-time with live features attached, so scores fire on real events.
Live drift monitoring
Live operational data feeds DataRobot monitoring so accuracy and drift are tracked against current operations, not a validation set.
Surface predictions to teams
Predictions and drift alerts surface in operational dashboards, field apps and portals where operations and engineering teams act on them.
Integration is the start with Rayven.
Here's what comes with it.
Rayven isn't just a DataRobot connector. It's the operational software platform underneath - so once DataRobot is connected, four more capabilities come online by default.
AI-ready data layer (AI Data Fabric)
DataRobot data joined with ERP, IoT + legacy - contextualised, unified and structured so AI models, agents and tools can use it without ETL prep work.
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Live AI access (Rayven MCP)
Claude, ChatGPT + Gemini get live, governed access to DataRobot and every other connected system. Your AI stops guessing - cites real DataRobot records + numbers.
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Automation + AI agents
Workflows + AI agents act on DataRobot data without human intervention - escalate at-risk accounts, trigger operational work, auto-update forecasts, draft customer comms.
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Custom apps + portals
Unified customer portals, ops dashboards, mobile field apps, partner portals - built on top of integrated DataRobot data. No separate BI tool, no separate dev stack.
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All on top of your existing stack. No rip + replace. DataRobot stays DataRobot. Rayven works on what you've already built. Specifically tuned for DataRobot Prediction Server scoring, live actuals for monitoring and prediction writeback.
Rayven is a five-layer platform ALL your integrations + much more
can run on.
Integration is one layer of Rayven. Data, execution, presentation + governance are the other four - all delivered as one platform on one commercial.
Pick the right tool for your stack.
DataRobot integration looks different at every scale. Honest comparison of the four common paths - Rayven only wins on some of them.
The integration is the easy bit.
The platform + team behind it is the difference.
Platform + team. One commercial.
Not five vendors stitched together. Rayven is the platform AND the Australia-based expert team that scopes, builds + supports it. One commercial. No licence stacking, no finger-pointing.
Built for DataRobot's Prediction Server model.
Rayven streams live operational data into DataRobot for training and calls the Prediction Server in real-time with API-token auth. Predictions write back to ERP, work orders and apps as records, and live actuals feed monitoring, so a DataRobot score drives an operational action and drift is caught early.
We stay after go-live.
No handoff. No disappearing. Rayven is a long-term partner when your DataRobot evolves, your stack changes, or you push further. 24/7 support. Same team, same platform, same commercial.
Hosted your way, where you need.
Deploy as cloud, private cloud + on-premise - in Australia, the US, the UK, or anywhere else your DataRobot data needs to live. Your residency, your rules, your local compliance environment.
The questions DataRobot admins, RevOps + IT ask first.
If you're evaluating Rayven for DataRobot integration, these are the things worth knowing before booking a call.
The 30-minute call covers
- Your DataRobot + connected stack today
- What's reachable + which systems to bring in first
- Live walkthrough of Rayven against your scenario
- Time, scope + delivery estimate
- Honest read on whether Rayven's the right fit
What is DataRobot integration?
DataRobot integration connects DataRobot to your operational stack - OT, IoT, ERP, apps and databases - so models train on live data and predictions reach the systems that act. Rayven delivers it as part of an AI data fabric, not a single-purpose connector.
How does Rayven connect DataRobot to other systems?
Rayven uses the DataRobot REST API and Prediction Server endpoints with API-token auth to stream operational data in and write predictions back to targets. See the Rayven Platform for how the layers fit.
What data can Rayven feed DataRobot?
Real-time OT, IoT, SCADA, ERP, app and database data via 1,228+ connectors, OPC-UA, MQTT, CDC and API, plus data warehouse and lake history. Training and scoring stay fresh against live operations.
Does Rayven replace DataRobot?
No. Rayven is not an ML platform and does not replace DataRobot - it is the real-time AI data fabric that feeds its models live features and operationalises their predictions. Your models and scoring stay in DataRobot.
What are common DataRobot integration use cases?
Live training data, event-triggered scoring, live drift monitoring and pushing predictions into ERP and operational apps. See the automations above for specifics.
What are the technical specifics of DataRobot integration with Rayven?
Rayven integrates DataRobot through its REST API and Prediction Server endpoints with API-token authentication, respecting per-deployment scoping and real-time endpoint concurrency limits. Automated ML, deployments, real-time and batch prediction, and MLOps monitoring are handled as first-class flows. Live operational data - OT, IoT, SCADA, ERP and app events - streams in for training features and scoring via 1,228+ connectors, OPC-UA, MQTT, CDC and API, so models never learn or score on stale snapshots. Prediction outputs write back to operational targets like ERP, work orders and dashboards with field-level mapping. Live actuals feed monitoring so accuracy and drift track current operations, and historical context comes from connected data warehouses and lakes. Validated against DataRobot Prediction Server real-time and batch endpoints, Rayven stays the AI data fabric around DataRobot - it never becomes or replaces your model platform.
DataRobot + AI integration.
In weeks, not months.
Book a 30-minute call. Walk away with a tailored plan - what's reachable, what to bring in first, time + scope.