Acoustic Event Detection
Accurate AI Sensor Algorithms For the Smallest IoT Devices
Activity Recognition
Anomaly Detection
Gesture Recognition
Keyword Spotting
Vibration Classification
AI/ML tools for the cloud are great... for cloud-centric data analytics. But such tools are NOT well suited for generating ultra compact, optimized sensor inference code for microcontrollers and edge processors.
SensiML Analytics Toolkit factors edge performance and optimization into every step of the AI/ML development pipeline from data collection to optimized code generation. In addition, our processing libraries and base models are built specifically to support sensor data and use cases. The result: ML code that in some cases can even run on 8-bit MCUs!
So don't start your project off on the wrong foot with general purpose AI tools for cloud analytics. Explore how SensiML's powerful yet straightforward IoT edge tool suite generates best-in-class ML code accuracy and efficiency.
October 10, 2024 – SensiML announces the integration of RISC-V® processor support within its comprehensive AI development tool suite. This addition offers developers unmatched flexibility in building intelligent, resource-constrained edge devices with AI/ML sensor data processing.
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October 8, 2024 – SensiML forms a strategic partnership with Efabless, a pioneer in custom SoCs development, to deliver fully open-source solutions for IoT hardware and edge AI.
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July 25, 2024 - SensiML's latest update for Data Studio includes a new Generative AI feature allowing users to rapidly create hyper-realistic synthetic speech datasets for voice applications. See our how-to article and read the details in the press release.
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June 25, 2024 - SensiML launched Piccolo AI as the industry's first full open-source AutoML tool for generating ML code for IoT edge devices. Piccolo AI is hardware agnostic and supports compact ML predictive models spanning classic ML algorithms to deep learning.
To learn more, visit the project website at https://sensiml.org.
