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Machine Learning Software

Easy-to-use Machine Learning software for real-time predictive analytics.

Rayven is an easy-to-use, low-/no-code Machine Learning platform. Our solution enables anyone to build and deploy models using the best inbuilt no-code Machine Learning tools so that they can unlock actionable, predictive insights, simply.

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Empower yourself to harness Machine Learning. Enable Your business to predict the future.

The Rayven Platform features comprehensive Machine Learning software built into it, enabling anyone to turn your real-time data into forecasts + deliver predictive insights in the moment using drag-and-drop.

Our platform’s predictive power lets you leverage real-time predictive analytics across all your existing data sources and tools, and build complete apps that enable users - and machines - to reduce risk, lower costs + drive self-optimising operations simply.

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User-Friendly, Interface.

Rayven has an intuitive drag-and-drop interface, enabling users to create/import, test + deploy any Python-based model without coding.

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Seamless Integation.

Rayven can integrate with all your existing systems + data sources, enabling you to deliver predictive analytics for anything and everything.

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Batch + Real-Time Predictive Analytics.

Deploy trained models into streaming data to deliver real-time predictive insights, or use it to create a Digital Twin to test optimisations before deploying.

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Low-Cost Scalability + Flexibility.

Rayven's designed to handle varying data volumes + complexities, so your use of Machine Learning can scale alongside your needs.

Bring your own model: Rayven supports any Python-based predictive analytics model, including from:

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Use all your data sources to generate + visualize
predictive insights -
even in real-time.

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Radlogo
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Google-Cloud-60
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Rayven's Machine Learning software features: dig deeper into your data, faster using easy-to-use tools.

Our Machine Learning software comes pre-built into the Rayven Platform and gives anyone the ability to dig deeper into their data and add accurate predictive analytics to custom apps, their existing BI tools - anything.

AI-Dynamix-Screen-MoveRayven’s Machine Learning software features an intuitive drag-and-drop interface, allowing anyone to build, test + deploy machine learning models without needing extensive coding skills.

Whilst experienced Data Scientists can access, edit, or code themselves; the no-code setup Rayven capabilities enables teams to work faster, making Machine Learning accessible across all levels of technical expertise. This ease of use empowers more people in your organisation to experiment with predictive analytics and unlock insights quickly.

Rayven-ESGLive-5-MetricsRayven enables you to deploy Machine Learning models on live data streams, providing real-time predictive analytics that can be visualized immediately on customisable dashboards.

This capability allows teams to make proactive decisions based on the latest data, improving responsiveness and agility in business operations. With real-time insights, your team can stay ahead of trends and respond to changes as they happen.

Workflow-Big-ChainOur platform integrates easily with all your existing data sources, tools + systems, from IoT devices to ERP platforms. Rayven also supports Python-based algorithm imports, so you can bring your custom models onto the platform effortlessly.

This interoperability ensures that your machine learning models can leverage data from every part of your operation, creating a unified, effective data environment.

Explore our ready-to-use software integration connectors or custom integrations.

ipad-Device-Mgmt-1b-600sRayven combines Machine Learning with advanced data management, transformationsecurity capabilities.

Our platform, therefore, enables you to cleanse, validate + secure data before, during, and after processing; ensuring accuracy.

This all-in-one toolkit enables businesses to confidently handle data, while gaining the most value from predictive analytics.

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With Rayven’s workflow builder, you can configure custom workflows that incorporate Machine Learning models and use the insights that their delivering to automate processes.

The visual, drag-and-drop setup lets you create and adjust workflows as needed, linking predictive insights with automated actions across your systems. This flexibility allows your team to maximise the impact of machine learning by embedding it directly into your operations.

Explore our platform's inbuilt workflow automation software capabilities.

GenAI-Screenshot-Jun-24Rayven’s Generative AI capabilities allow you to take Machine Learning even further.

Use conversational analytics built into your custom app interfaces to explore forecasts, generate insights + recommendations, or even add automated actions based on complex data analysis.

This feature helps teams explore new possibilities within their data, delivering advanced decision support that adds significant value to business strategies and operational improvements.

Learn more about Rayven's Generative AI capabilities.

Q1-24-New-DeploymentRayven’s Machine Learning software and the entire platform is built to scale with your business, handling data volumes of any size and complexity.

Whether you’re working with small datasets or are a global enterprise, Rayven adapts to your needs, growing alongside your business. This scalability ensures that as your operations expand, you can rely on Rayven to maintain high performance and responsiveness.

Learn more about Rayven's deployment options + architecture.

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Dig deeper into your data using our easy-to-use, inbuilt Machine Learning software.

ML-DiagramThe Rayven Platform's Machine Learning software enables you to not only create, train + deploy any Python-based algorithm into your custom apps via our workflow builder, but also to model and test them against each other to see which works best - all via an easy-to-use drag-and-drop interface.

Our Machine Learning software comes pre-built enables non-developers and Data Scientists alike to harness its power, simply.

1: Prepare your data.

Select training data from your wider solution and apply ready-to-go filters and normalisers that are natively available within our Machine Learning software.

2: Create, import + train.

Anyone can use our Machine Learning software's drag-and-drop interface to create an algorithm from scratch or import another Python-based model, before running iterative training.

3: Deploy + predict.

Deploy your trained model to streaming data in the workflow builder with a single click and visualise the results in your dashboard for real-time future insights.

Rayven has free + low-cost options, making it affordable for every business.

Need help with Machine Learning? We can help you to deploy predictive analytics in days.

Getting your Machine Learning model looking at past data and suggesting optimisations is one thing, but training it to tell you what’s about to happen in real-time based on how you’re operating at that moment can be another.

We can help you to define your goals, build a repository, create algorithms - all the way through to deploying and fine-tuning your model. We can help you to deliver a bigger ROI, faster.

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Build or import your own
algorithms,
simply

Train, test, compare, deploy
+ scale use,
rapidly

Use with real-time data to deliver
instant predictive analytics

Create self-optimising
workflows, faster

Rayven Machine Learning Software FAQs:

A built-in toolkit for training, evaluating, and deploying ML in real-time - tightly integrated with Rayven's data pipelines, semantic layer, and workflow automations.

Feature engineering, training, validation, hyper-parameter tuning, batch/online inference, drift detection, retraining, and A/B or canary deployment.

Yes - import models or call external endpoints. You can also train inside Rayven using managed runtimes and push models to governed inference endpoints.

Pipelines feed live features to models with millisecond execution; outputs can update tables, trigger automations, call APIs, or alert operators.

Yes - latency, throughput, error rate, feature/data drift, predictive quality, and business KPIs with alerts and rollback/disable policies.

RBAC, secrets management, audit logs, dataset/version lineage, approval gates, and environment isolation across dev/stage/prod.

Absolutely - model outputs can drive workflows, call other models/LLMs, invoke agents, or publish to endpoints and webhooks.

SaaS, private cloud, on-premise, or at the Edge - with identical governance and controls.