Top AI Tools for

💻 Embedded Systems Engineer (10 ai tools)

  • Blaize
    Blaize Intelligence at the edge of everywhere.

    Blaize provides AI edge computing solutions, including hardware platforms and a code-free software suite, designed for efficient and flexible deployment of AI applications across various markets.

    • Contact for Pricing
  • Open Voice OS
    Open Voice OS A community-driven open-source voice AI platform for custom voice-controlled interfaces

    Open Voice OS is an open-source voice AI platform that enables developers to create custom voice-controlled interfaces with privacy-focused features, NLP capabilities, and a customizable UI. It supports multiple platforms and devices, making it ideal for DIY smart speaker projects.

    • Free
  • Wavify
    Wavify Unlock edge inference: cloud-level performance at your fingertips

    Wavify is a platform for on-device speech AI, enabling software engineers to embed features like speech recognition and wake word detection into any software.

    • Freemium
    • From 150$
  • GGML
    GGML AI at the Edge

    GGML is a tensor library for machine learning, enabling large models and high performance on commodity hardware. It's designed for efficient on-device inference.

    • Free
  • Please Code Generator
    Please Code Generator Automated code generation for embedded systems made simple

    A specialized AI-powered code generator for Arduino and ESP32 electronic boards that helps developers create error-free, compatible code through a guided 6-step process.

    • Freemium
  • openvoiceos.com
    openvoiceos.com Community-driven open-source voice AI platform for custom voice-controlled interfaces

    Open Voice OS is an open-source voice AI platform that enables developers to create custom voice-controlled interfaces with NLP capabilities, focusing on privacy, security, and multi-platform compatibility.

    • Free
  • Neuton TinyML
    Neuton TinyML Make Edge Devices Intelligent

    Neuton TinyML is a no-code automated platform that builds extremely compact neural networks for microcontrollers and sensors, enabling AI capabilities on edge devices with models as small as 5KB.

    • Freemium
  • Aptos
    Aptos Streamlining Model Development, Deployment, and Management for Edge ML

    Aptos is a no-code MLOps toolchain designed to optimize and deploy machine learning models for low-power edge devices. It simplifies edge AI development and enhances model efficiency.

    • Contact for Pricing
  • Qualcomm AI Hub
    Qualcomm AI Hub The platform for on-device AI: Any model, any device, any runtime. Deploy within minutes.

    Qualcomm AI Hub is a comprehensive platform for deploying and optimizing AI models on Qualcomm devices, offering seamless integration with various runtimes and support for multiple industries including mobile, compute, automotive, and IoT.

    • Contact for Pricing
  • Fluent.ai
    Fluent.ai Voice enabling the world's devices

    Fluent.ai provides unique speech-to-intent technology offering offline, noise-robust speech recognition that supports any language and accent.

    • Contact for Pricing
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