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SensiML – Making Sensor Data Sensible
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INTELLIGENT ENDPOINTS: THE KEY TO HIGH PERFORMANCE IoT NETWORKS

Cloud-Centric IoT Networks

Perform Most or All Analysis Centrally - Raw IoT sensor data is transmitted from endpoints to the cloud for 'Big Data' analysis and insight processing.

+ Aggregated insight across many endpoints as well as context data

+ Memory and computing power limited only by allocated data center resources

- Network traffic demand is high with rich sensors and many endpoints

- Latency is too great for many time critical applications

- No insight if network fails or throughput is sufficiently impaired

- Security and data privacy breaches require end-to-end coverage

Intelligent Endpoint IoT Networks

Efficiently Distribute Analytics - Raw IoT sensor data is first analyzed locally at the endpoint with only true insights transmitted to the cloud.

+ Aggregated insight enhanced by more efficient endpoint communication

+ Lessened cloud compute by tapping endpoint processing resources

+ Rich sensor compression to insight allows use of low-power IoT networks

+ Zero network latency with local AI insight at the endpoint

+ No network dependence with local AI insight at the endpoint

+ Partitioned security/data privacy with local AI pre-processing and filtering

The Missing Link: Practical AI Dev Tools Optimized for Endpoint Devices

SensiML TRANSFORMS HOW INTELLIGENT ENDPOINTS ARE BUILT

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.

SensiML Analytics Toolkit: The solution to building intelligent endpoint devices quickly and easily

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.

SensiML ANALYTICS TOOLKIT

An end-to-end software suite that provides developers a practical means for developing IoT sensor algorithms using AI. Each component handles specific steps to progress from initial raw sensor data collection using your prototype hardware to optimized firmware code generation, validation and testing, and post-ship algorithm updates and continuous learning enhancements.

SensiML Data Capture Lab

A full-featured client tool (Windows PC and Android Mobile) enabling rapid, efficient, and collaborative multi-user data collection, cleansing, labeling, and metadata annotation of your custom application datasets.

SensiML Analytics Studio

A powerful cloud service component that uses your labeled datasets to deliver device-optimized firmware for your chosen endpoint.  Pick a target device, required accuracy, custom dataset, and it can figure out the rest.

SensiML Test App

Used to quickly and efficiently validate final device firmware and test for the proper behavior, accuracy, and performance of your algorithm empirically on actual endpoint hardware.

SensiML API

A simplified interface to extend your SensiML algorithms and manage advanced features like edge model tuning and continuous learning updates to the cloud.

APPLICATION EXAMPLES

Industrial

Commercial

Agricultural

Wearables

Added Services

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

Contact Us

To inquire further about SensiML Endpoint Intelligence Solutions please submit a message below:

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About Us

SensiML

SensiML (say "sen-seh-mul") is a spin out from Intel Corporation offering cutting-edge software enabling IoT developers to quickly and easily generate app-specific pattern recognition code that transforms rich connected sensors into smart actionable event detectors.

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News / Events

SensiML

SensiML and Neurosense Announce Strategic Partnership for Highly Integrated Intelligent Edge Technology Platform

July 10, 2019 - SensiML Corporation, a leading developer of AI tools for building intelligent IoT endpoints, and Neurosense, a provider of highly integrated intelligent IoT SoCs, today announced a strategic partnership to provide a combined solution for developers seeking to build intelligent small form factor IoT devices.

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News / Events

SensiML

SensiML Analytics Toolkit Supports AI for Industrial IoT Predictive Maintenance Applications

May 23, 2019 - SensiML Corporation today announced that its Analytics Toolkit supports Artificial Intelligence (AI) for industrial IoT predictive maintenance applications.

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Embedded World 2019

SensiML Webinar "Machine Learning at the Edge"

May 14, 2019 - SensiML highlighted the benefits of endpoint sensor intelligence and the ease of building embedded ML algorithms using the SensiML Toolkit in this recent webinar sponsored by ARM.

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