neuralSPOT®; is an open-source, real-time, OS-agnostic SDK for Ambiq’s Apollo SoCs, designed to simplify edge AI development on ultra-low-power devices. With integrated support for TFLM, heliaRT™, and heliaAOT™, neuralSPOT enables developers to build, optimize, and deploy high-performance AI applications faster across wearables, healthcare devices, smart home products, and industrial IoT systems.
neuralSPOT SDK
Edge AI Application Prototyping Library Simplifies the embedded development Frees AI Developers to focus on AI
neuralSPOT Autodeploy
Easy AI-to-firmware conversion Sophisticated Profiler and Validator Zero friction AI experimentation
Optimized AI Runtimes
neuralSPOT makes choosing a runtime easy by seamlessly integrating LiteRT, heliaRT and heliaAOT
Browse our Design Resources which includes product briefs, datasheets, selector guides, family brochures, white papers, quick start guides, and more to help you learn more about products.
Browse our Design Resources which includes product briefs, datasheets, selector guides, family brochures, white papers, quick start guides, and more to help you learn more about products.
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neuralSPOT® supports Ambiq Apollo generations 3 through 5, including Apollo3, Apollo4, and Apollo510 series SoCs. Support is continuously expanded to future Apollo generations as new devices are introduced.
neuralSPOT® provides first-class support for TensorFlow Lite for Microcontrollers (TFLM), heliaRT™, and heliaAOT™, allowing developers to choose the AI inference runtime that best matches their model size, performance, latency, memory footprint, and deployment requirements.
neuralSPOT® powers several application-focused AI development kits, including:
neuralSPOT® includes ready-to-use AI pipelines for keyword spotting, speech-to-intent, speech enhancement, and speaker identification. These capabilities enable battery-powered devices to perform voice processing locally, reducing latency, improving privacy, and minimizing cloud dependence.
Yes. neuralSPOT® is a fully open-source, OS-agnostic SDK that developers can inspect, modify, and extend. It is designed for real-time edge AI on ultra-low-power embedded systems and supports customization for production applications.
No. neuralSPOT® runs on supported Ambiq Apollo SoCs and development boards. Developers can prototype, profile, optimize, and deploy AI models directly on Ambiq hardware using plug-and-play PC integration and the included development tools.
Yes. neuralSPOT® is designed for on-device AI inference, allowing machine learning models to execute directly on Ambiq Apollo SoCs without requiring cloud connectivity. Running AI at the edge reduces latency, improves privacy, lowers power consumption, and enables reliable operation even when internet access is unavailable.
