Products

Intelligent Pipeline Generator

GenAI Based Development Suite

Enables easier exploration, development, optimization, debugging, and deployment through push-button solutions.

Provide production-ready frameworks that are robust and tailored to customer needs.

Facilitate quick porting across silicon vendors with minimal effort.

Achieve cost reductions of 70-90% while improving efficiency.

Accelerate development timelines by 2-3x, ensuring quicker go-to-market solutions.

A Multi-agent GenAI workflow to automate each step of Embedded software development.

Intelligent Pipeline Generator

MLops

Empowering Smart Systems for the Real World

Real-Time Decision-Making

Resilience to Network Failures

Scaling Across Thousands of Devices

Mitigating Data Drift

Protecting Privacy and Reducing Costs

Localized Processing for Efficiency

Intelligent Edge MLops

Why Intelligent IoT SDK (IIS)?

Breaking IoT Barriers: Intelligent Edge Systems Unveils Intelligent IoT SDK (IIS)

Silicon-Agnostic

Silicon-Agnostic

Write one codebase that runs on Qualcomm, Sequans, Quectel, and more.

GenAI-Powered Automation

GenAI-Powered Automation

Automatically generate system-level apps for resource-constrained microcontrollers.

Vendor Adaptation

Vendor Adaptation Layer

Deep hardware integration (memory, interrupts, power) for optimal performance.

Solution Diagram

How It Works

  • Unified API bridges application logic to hardware
  • Cross-Platform: microcontrollers, Linux SBCs, RTOS
  • Seamless Deployment: one click to multiple targets

Business Impact

Time to Market

Accelerate Time-to-Market

Eliminate rebuilds and rewrites.

Cost Reduction

Reduce Dev Costs

Minimize specialized engineering for each platform.

Future-Proof

Future-Proof

Migrate to new silicon without code rewrites.

Maintenance

Simplify Maintenance

One unified codebase, one release cycle.

GenAI-Powered Advantage

"IIS leverages Generative AI to generate system-level code, integrate sensors, optimize resource usage, and package for deployment — all automatically."

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Next: Agentic AI Evolution

Today

GenAI-powered code generation

Tomorrow

Autonomous network adaptation

On-device self-optimization

Proactive issue mitigation

Continuous learning & coordination

Technical Deep-Dive

Memory & Power Management
  • Dynamic RAM allocation and deallocation
  • Low-power sleep/wake scheduling
  • Voltage scaling integration
Interrupt & Real-Time Handling
  • Configurable interrupt priorities
  • Deterministic ISR callbacks
  • Latency monitoring tools
Protocol Implementation Details
  • Streamlined GNSS parsing
  • High-speed SPI DMA transfers
  • Robust CAN bus error handling
Timing & Synchronization
  • Precision timers and counters
  • Clock drift compensation
  • Network time protocol integration

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