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Edge AI · AutoML · Sensor Intelligence

Ship smarter IoT products.
Powered by edge AI.

Automated ML pipeline. Optimized firmware. Runs on any MCU.

SensiML AI-guided workflow: sensor data to AI model to embedded firmware on MCU

Cloud AI tools aren't built for the edge

General-purpose ML frameworks ignore the unique constraints of sensor data, tight memory budgets, and microcontrollers. SensiML was purpose-built to solve exactly this.

IoT sensor applications: wearables, industrial, smart city, and healthcare

✓ With SensiML

AutoML automates data labeling, feature extraction, and model optimization end-to-end. Ship deployment-ready code that runs efficiently on edge processors from 64-bit MPUs down to 8-bit MCUs — with best-in-class accuracy.

✗ Without SensiML

Months of manual dataset manipulation, feature engineering, and edge model optimization. Cloud frameworks generate bloated models. Engineers spend more time fighting tools than building products. Inference accuracy suffers at the edge.

Describe the algorithm you need. Let SensiML agents build it.

SensiML AI Assist uses expert agent workers to automate the edge ML development pipeline from dataset preparation and labeling through AutoML model selection, firmware generation, and device validation. You stay in control while SensiML handles the ML infrastructure.

No data science team required. No hand-built ML pipeline. No cloud dependency at runtime.

1

Data Agent prepares your sensor dataset

Import real sensor captures, generate synthetic examples, segment events, and label training/test data through a guided chat workflow.

2

AutoML Agent finds the best model

SensiML tests algorithm, feature, and classifier combinations against your target accuracy, latency, memory, and power constraints.

3

Firmware Agent creates embedded code

Generate optimized C/C++ inference code packaged for your selected MCU, processor, compiler, and embedded OS.

4

Validation Agent helps prove it works

Validate models, review performance on live device data, and iterate as new field data arrives.

Built for the sensor applications that matter

SensiML powers recognition tasks across many edge AI use cases where cloud-dependent AI simply isn't an option.

🎧

Acoustic event detection

Detect machine faults, glass breakage, infant cries, or custom sounds on battery-powered devices.

🏃

Activity recognition

Classify movement, gait cycles, ergonomics, and exercise types from wearable or embedded motion sensors.

Anomaly detection

Catch equipment faults before they fail. Enable predictive maintenance across machinery and infrastructure.

Gesture recognition

Add intuitive gesture control to automotive, industrial machinery, and smart consumer devices.

🎤

Keyword spotting

Deploy custom wake words and voice commands on ultra-low-power devices without cloud connectivity.

Vibration classification

Monitor transportation, heavy machinery, and infrastructure for vibration signatures that signal failure.

Industry Leading AutoML platform purpose-built for edge sensors

Not adapted from cloud tools — designed from the ground up for microcontrollers and real-world sensor data.

Runs on any hardware

From 8-bit MCUs to ARM Cortex-M, RISC-V, ESP32, AI accelerators, and larger edge processors. Supports 20+ silicon platforms including Arm, Espressif, Infineon, Intel, Microchip, NXP, Nordic, and ST.

Full pipeline automation

AutoML handles feature engineering, model selection, hyperparameter tuning, and firmware generation — eliminating months of manual work.

📦

Deployment-ready output

Knowledge Packs output optimized C/C++ code tailored to your device — not generic Python notebooks you have to convert yourself.

📈

Sensor-native algorithms

Algorithm libraries built specifically for time-series sensor data — not repurposed from image or NLP models that don't fit your use case.

🔓

Open-source option

Piccolo AI offers the industry's first open-source AutoML for edge IoT — hardware-agnostic and freely available on GitHub.

Latest AI features

Analytics Studio AI Assist provides a natural chat interface to automate model building using expert agents. Data Studio's GenAI voice tool creates hyper-realistic synthetic speech datasets — dramatically accelerating voice model development.

Ready to ship smarter sensor products?

Start free with Piccolo AI or unlock the full Analytics Toolkit.

SensiML
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