Clea Studio AI

AI Development & Training

Clea Studio AI is a no-code development environment that transforms IoT data into functional intelligence. Using intuitive visual blocks, teams can design and deploy AI-powered services to edge devices without custom coding.

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Acting as the application design layer, Studio AI translates operational needs into deployable edge workflows and AI-driven services, bridging the gap between raw telemetry and actionable on-device intelligence.

Clea Studio AI

Feature Availability

Scale your infrastructure with the right feature set for your needs.

FeatureStarterSmallProEnterpriseDedicated
No-code builderCreate AI pipelines without code
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Model deploymentDeploy models to the edge
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Model versioningModel version management
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Pipeline orchestrationMulti-step AI workflow
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Edge inference mgmtDistributed inference management
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Multi-model orchestrationMultiple coordinated templates
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MonitoringPerformance models
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STUDIO AI

Built-in Core Features

Accelerate your AI deployment from months to days.

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Visual Pipeline Builder

Drag-and-drop interface to create complex data processing and AI inference pipelines visually.

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Pre-trained Model Library

Access a curated catalog of industry-ready AI models optimized for edge hardware deployment.

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Edge Workflow Export

Seamlessly export designed pipelines to connected devices via Edgehog for immediate local execution.

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Real-time Monitoring

Visualize the performance and accuracy of your AI models running in the field from a centralized dashboard.

Why choose Clea for AI Development

01

Democratized AI

Enable domain experts to build AI solutions without needing deep data science or software engineering backgrounds.

02

Rapid Prototyping

Go from idea to functional edge prototype in hours, drastically reducing time-to-market for smart features.

03

Hardware Agnostic

Design your logic once and deploy it anywhere. Studio AI ensures consistent behavior and performance across all supported edge devices and architectures.

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Master the Intelligence Lifecycle

Studio AI manages the entire journey from raw data to intelligent edge behavior.

1

Data Intake

Connecting to Astarte telemetry streams as the primary source of truth.

2

Pipeline Design

Designing the logic for filtering, transformation, and decision-making.

3

Model Selection

Choosing and configuring the most suitable AI models for the task.

4

Edge Deployment

Deploying the intelligence package to the fleet via secure channels.

5

Continuous Tuning

Iteratively improving model accuracy based on real-world field feedback.

Ready to build intelligent edge services?

Join the no-code revolution and start creating with Studio AI today.

AI Development & Training | Clea Studio AI