SensiML – Making Sensor Data Sensible

Going far beyond traditional simple switches or value/threshold sensors, smart sensors provide much richer insight using the complex high-fidelity signals originating from accelerometer, gyroscopic, electrode, vibration, thermal imaging, optical, audio, and pressure / strain sensor inputs. But they do not stop there as these high data rate raw signals would otherwise quickly overwhelm downstream networks with massive amounts of redundant or useless data.

Instead, smart sensors locally process their physical raw sensor signals using techniques such as pattern recognition and machine learning to provide only information of value to upstream nodes in the network. Their role can often make or break the entire IoT application where bandwidth limitations, security/data privacy, latency, local real-time response, battery life, and wireless endpoint considerations are key factors.

Creating smart sensors that run efficiently and provide accurate meaningful insights can provide substantial IoT product benefits but is highly challenging in terms of required time, cost, and team skillsets. The time has come for a smart development toolkit that breaks down these barriers allowing all device builders big and small to truly innovate with smart sensors without the burden and constraints of hand-coding algorithms.

Algorithm Creation at the Speed of Capture

If you can capture what you seek to detect, SensiML's machine learning optimizer can automatically generate a predictive algorithm. Inordinate time and energy spent in iterative coding, testing, and re-coding can now be focused on extending algorithm capabilities making your smart device truly smart.

Sensor Analytics At The Extreme Edge

SensiML creates optimized algorithms that execute locally on the embedded sensor node, not a gateway or in the cloud. Thus, your applications benefit from true real-time processing where the sensing take place.

Rapid Prototyping and Proof-of-Concept Validation

With tools that address the entire workflow for data-driven algorithm design, SensiML Analytics Studio can streamline all aspects including initial prototyping and proof-of-concept work. Our tools allow developers to quickly test sensor applications on hardware in a matter of days or weeks rather than months.

Smarter Sensing Through Continuous Learning

Get your devices out of the lab and into the hands of customers sooner with ongoing learning mechanisms that allow you expand model sophistication over time through crowd-sourced data feedback and regular updates. Your users can enjoy more engaging products as they contribute to solving their own corner case exceptions.

An end-to-end software suite that provides developers a straightforward process for developing pattern matching sensor algorithms using machine learning technology. Each component handles specific steps in the process to progress from initial raw sensor data collection using your prototype hardware, to automated signal processing and feature engineering, to embedded algorithm optimization, validation and testing, and post-ship algorithm updates and continuous learning enhancements.

SensiML Data Capture Lab

A client tool available on Windows PC and Android mobile platforms, SensiML DCL enables convenient and efficient data collection, data cleansing, labeling, and metadata annotation of your sensor application datasets.

SensiML Analytics Studio

A server-based ML data compiler that uses your sensor data to deliver device-optimized algorithm code that runs on low-cost sensor MCUs. SensiML Analytics Sutdio takes the guesswork, time, and risk out of your projects. Pick your target device, your required accuracy, representative data, and let SensiML Analytics Studio figure out...

SensiML Test App

Once your embedded code has been generated, SensiML Test App can be used to quickly and efficiently validate the proper behavior, accuracy, and performance of your algorithm empirically on actual sensor hardware.

SensiML API

Providing a straightforward interface to utilize and extend your SensiML algorithms, our API also provides the means to channel new data discoveries from users back to your modeling pipeline for continuous learning and functional improvement for your devices.

Beyond our standard product platform offerings, SensiML offers custom services to help developers maximize their productivity and further reduce development resource needs and risk.

Enterprise Level Support

One-on-one classroom training, direct technical support from SensiML developers, weekly technical project support calls

Custom Engineering Services

Turnkey algorithms with customer supplied data, Consultation services (test design, data, collection integration)

Custom Development

Custom product feature requests, Extension to non-supported embedded platforms

SMART SENSORS: VITAL TO HIGH PERFORMANCE IoT NETWORKS

SensiML TRANSFORMS HOW SMART SENSOR ALGORITHMS GET BUILT

SensiML Analytics Toolkit: The solution to building smart sensor algorithms quickly and easily

Industrial Use Cases

Agricultural Use Cases

Commercial Use Cases

Wearable Use Cases