WILMINGTON, Del. - TelAve -- Aortem today announced the launch of DartCloudFunctions, a fully managed serverless infrastructure platform built specifically for Flutter and Dart development teams.

DartCloudFunctions enables developers to build, deploy, and scale backend workloads using Dart across major cloud providers including Amazon Web Services (AWS), Google Cloud Platform (GCP), and Microsoft Azure.

The platform is designed to reduce the operational complexity commonly faced by Flutter and Dart teams that are often forced to adopt additional backend languages and tooling for cloud infrastructure workflows.

"With DartCloudFunctions, developers can now build frontend and backend systems using a more unified Dart-first workflow," said Aortem. "The goal is to simplify backend infrastructure, reduce context switching, and improve developer productivity for modern engineering teams."

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Key platform capabilities include:

• Serverless Dart function deployment
• Autoscaling infrastructure management
• Multi-cloud deployment support
• API handler and webhook execution
• Scheduled job support
• Cloud-native operational workflows
• Integrated developer tooling for Flutter and Dart ecosystems

DartCloudFunctions is part of Aortem's broader developer infrastructure ecosystem, which includes IntelliToggle, DartStream, DartCodeAI, and TechniDox.

The launch reflects growing demand for backend tooling purpose-built for Dart developers as Flutter adoption continues to expand across startups and enterprise engineering teams.

Developers interested in early access can learn more at:
https://www.aortem.io/press/dartcloudfunctions-launch

About Aortem

Aortem builds developer infrastructure and cloud-native tooling for Flutter and Dart teams. The company's ecosystem includes serverless infrastructure, feature management, AI-assisted engineering tools, backend frameworks, and developer automation platforms designed to help teams ship software faster and more efficiently.

Media Contact:
Aortem Inc.
press@aortem.io
https://www.aortem.io