Carrier-Grade Data Platform for 65M+ Connected Devices

Accelerating AI Model Development and Edge Hardware Validation with Flex83
‍

About the Client

‍An Industrial OEM developing AI-enabled products for connected industrial environments required a faster and more efficient way to build, validate, and deploy AI models on edge devices. As AI initiatives expanded, the engineering team needed an enterprise-ready platform that could simplify development while supporting scalable deployment across industrial applications.

Business Challenges

The client encountered several challenges while developing AI-powered edge solutions:

• Multiple disconnected tools made AI model development, hardware validation, and deployment complex.
• Evaluating AI model performance alongside hardware efficiency and power consumption required significant manual effort.
• Building enterprise-grade AIoT applications demanded extensive platform engineering before application development could begin.
• Scaling from proof of concept to production increased integration complexity and delayed project timelines.

The Solution

To simplify AI development and accelerate deployment, the client adopted IoT83's Smart Cloud-Edge Convergence Platform, developed in partnership with Renesas and powered by the Flex83 Application Enablement Platform (AEP).

The unified environment enabled engineers to:

• Access the Renesas AI Virtual Lab through a simple self-service registration.
• Develop AI/ML models using pre-built templates or intuitive no-code workflows.
• Deploy models directly to Renesas RZ/V Series MPUs for real-world testing.
• Evaluate AI model accuracy, hardware performance, and power consumption within a single workflow.
• Leverage enterprise-ready capabilities including secure connectivity, data management, AI/ML workflows, APIs, and cloud-agnostic deployment.

Platform Capabilities

Unified AI Development
Develop and validate AI/ML models using low-code workflows or API-driven development.

Cloud-to-Edge Deployment
Deploy AI models directly to supported hardware for real-world validation.

Enterprise Application Enablement
Access integrated connectivity, data management, analytics, and AI/ML capabilities from one platform.

Flexible Enterprise Deployment
Support scalable deployments through multi-tenant architecture and cloud-agnostic infrastructure.

Business Outcomes

With Flex83, the client was able to:

• Streamline AI model development and edge hardware evaluation through a unified development environment.
• Reduce development complexity by replacing multiple disconnected tools with a single platform.
• Accelerate AI application development using reusable platform services, low-code workflows, and API-based extensibility.
• Build applications designed for enterprise-scale deployment without creating platform infrastructure from scratch.
• Improve engineering productivity while reducing the effort required to move from development to deployment.

Why Flex83

Flex83 combines connectivity, data management, AI/ML development, and enterprise deployment into a single Application Enablement Platform. By replacing fragmented development workflows with an integrated cloud-to-edge environment, organizations can accelerate innovation, simplify deployment, and build enterprise-ready AIoT applications with confidence.