tinyML Sponsors

Aizip develops artificial intelligence (AI) models for application in the market of the Internet of Things (IoT), i.e., tinyML. Based in Silicon Valley, Aizip provides tinyML models with superior performance, quick turnaround time, and excellent ROI.

The extensive product portfolio at Aizip consists of Aizip Intelligent Vision (AIV), Aizip Intelligent Audio (AIA), Aizip Intelligent Time-Series (AIT), and Aizip Intelligent Module (AIM). Aizip’s robust models handle sophisticated real-world scenarios and are shipping in volume. These models support a comprehensive array of hardware platforms, including MCU, RISC-V, NPU, CPU, DSP, and Linux, among others.

With deep domain expertise covering the full stack of AI system design from data and algorithm, to embedded system and hardware design, Aizip provides the best-in-class AI solutions for the IoT market. The total solutions from Aizip have been delivered to its global customers to make the world intelligent and sustainable.

Analog Devices, Inc. operates at the center of the modern digital economy, converting real-world phenomena into actionable insight with its comprehensive suite of analog and mixed-signal, power management, radio frequency (RF), and digital and sensor technologies. ADI serves 125,000 customers worldwide with more than 75,000 products in the industrial, communications, automotive, and consumer markets. ADI is headquartered in Wilmington, MA. Visit https://www.analog.com

AONDevices (AON) is a fabless semiconductor company founded in 2018, headquartered in Irvine, CA.

AON specializes in developing ultra-low power, high accuracy AI processors that enable unprecedented sensing capabilities in battery powered “always on” devices. Its processors enable natural human-machine interface at the device level without compromising battery life or sending any data to the cloud, thus improving user experience and assuring privacy. When featured in devices, such as phones, headsets, wearables, game controllers, toys, vehicles, or in smart home appliances, AON’s technology enables constant sensing to detect multiple concurrent events, such as voice commands, baby cry, gunshot, etc., while also detecting specific motion patterns, such as walking or falling.

AON’s technology and expertise combine AI algorithms and a proprietary neural network architecture with a deep domain understanding of voice, audio, and other sensory algorithms to yield turn-key solutions, optimized for specific product applications.

Arm technology is defining the future of computing. Our energy-efficient processor designs and software platforms have enabled advanced computing in more than 230 billion chips and our technologies securely power products from the sensor to the smartphone and the supercomputer. Together with 1,000+ technology partners, we are enabling artificial intelligence to work everywhere, and in cybersecurity, we are delivering the foundation for trust in the digital world – from chip to cloud. The future is being built on Arm.

BrainChip is a global technology company that has developed a revolutionary advanced neural networking processor that brings artificial intelligence to the edge in a way that existing technologies are not capable of. The solution is a high-performance, ultra-low power, and enables a wide array of edge capabilities that include continuous learning and inference. By mimicking brain processing BrainChip has pioneered an event domain neural network processor, called Akida™, which is both scalable and flexible to address the requirements in edge devices. At the edge, sensor inputs are analyzed at the point of acquisition rather than transmission to the cloud or a datacenter. The Akida neural processor is designed to provide a complete ultra-low power Edge AI network processor for vision, audio, and smart transducer applications. The reduction in system latency provides faster response and a more power-efficient system that can help reduce the large carbon footprint of datacenters.

Dedan Kimathi University of Technology (DeKUT) was established under the University’s Act 2012 by the Government of Kenya in December 2012.  It is a Public University that focuses on Quality, Education, Research, Innovation, Technology Development and Transfer.  The University is a successor of Kimathi University College of Technology (KUCT), a constituent college of Jomo Kenyatt University of Agriculture and Technology (JKUAT).  Before KUCT, the University was an institute going by the name Kimathi Institute of Technology (KIT) establishe3d by the community with the focus of building on education and technology to better the society; a heritage the University has held to this point and lives by.

Deeplite is enabling AI for everyday life. Deeplite uses AI to automatically make other AI models smaller, faster, and more energy-efficient creating highly compact, high-performance deep neural networks (“DNNs”). The AI can run at the ‘edge’ in vehicles, cameras, sensors, drones, phones and many other devices you use every day. 

 To enable this, Deeplite provides its automated optimization software engine “Deeplite Neutrino”. Neutrino is focused on faster-time-to-market for machine vision AI applications such as image classification, object detection and segmentation. These computer vision applications can now be operational within hours or days rather than months. 

 To compliment Deeplite Neutrino™, Deeplite will be launching its second product in the coming months called DeepliteRT (“DLRT”). This product will make machine vision AI applications even smaller and faster, without compromising accuracy. DLRT will enable an innovative way to run ultra-low bit quantized models on commodity hardware while at the same time keep the accuracy loss as minimal as possible. 

Edge Impulse is the leading development platform for edge machine learning used by over 40,000 developers across 65,000 projects worldwide.

Edge Impulse provides the ultimate development experience for tinyML on embedded devices for sensors, audio, and computer vision, at scale. It enables the deployment of highly-optimized ML on hardware ranging from MCUs to CPUs and custom AI accelerators.

With Edge Impulse, developers, engineers, and domain experts are equipped with the tool they need to solve their real-world problems using edge ML. The company specializes in smarter edge solutions for industrial, logistics, consumer, and health, with enterprises building applications for predictive maintenance, asset tracking and monitoring, and human and animal sensing.

emza is an Israeli company dedicated to the development of visual sensors that include machine-vision algorithms and specific architectures to enable always-on visual sensing

Our visual sensors are applicable to a variety of markets and functions – from face recognition on notebooks, intruder’s detection in smart home security systems, through count of people in smart buildings to people awareness and profiling, for connected home appliances.

emza was acquired by HiMax Technologies (NASDAQ: HIMX) in April 2018, a supplier and fabless manufacturer of display drivers and other semiconductor products.  With the acquisition, emza is positioned to deliver IoT solutions which integrate Himax’s CMOS technology and ASIC designs with emza’s computer vision machine learning (ML) algorithms.

Everynet operates nation-wide LoRaWAN® networks dedicated to the ultra-low cost and low-power connectivity for battery powered sensors. Everynet’s connectivity enables use of up to 99% of sensor data that is currently being discarded due to cost or power constraints. Carrier grade network coverage is immediately available in Asia, EMEA and the Americas. Everynet streamlines sensor data acquisition at scale across any industry to enable enterprise-grade solutions at zero upfront capital expenditure. For more information please visit www.everynet.com.

Founded in 2021, Fotahub is a technology startup with the focus on building collaborative, Cloud-based, secured and Silicon vendor-neutral OTA service platform and solutions.

Building AIoT and TinyML systems means creating innovation and value. To ensure that value over time, those systems must be updatable. Fotahub guarantees easy deployment and over-the-air update of trained AI models on edge devices. It also keeps track of firmware versions and creates releases regardless of the location of the physical devices. This is crucial in the edge AI and TinyML workflows and fits perfectly within the TinyML MLOPS (Machine Learning Operations) scope. Indeed, Fotahub contributes to easing the burden of long-term maintenance, and ultimately improving the model’s performance in the field.


FotaHub helps dramatically reduce time, costs and effort to get AIoT and TinyML systems ready and allows them to evolve over the whole product lifetime.


Meet GreenWaves Technologies.

tinyML Summit. Panel discussion. March 23 at 12:00 PM Pacific Time
Martin Croome, VP of Marketing at GreenWaves, will be talking about “A real application of tinyML in Intelligent Building Sensors”.

GreenWaves Technologies is a fabless semiconductor start-up designing embedded processors for interpreting and transforming rich data sources such as images, sounds and more in highly power-constrained devices such as hearables, wearables and IoT sensors.

Our second generation GAP9 processor enables state of the art digital signal processing features like adaptive active noise cancellation, spatial sound, and AI based voice enhancement in hearable devices such as Truly Wireless Stereo earbuds.
GAP8 – our first generation product in production now enabling a new generation of IoT Sensors.

The company is headquartered just outside Grenoble, France.

Grovety is a software design house with an intense background of 30 years in embedded firmware, SDKs, drivers, protocols, all the way down to low-level programming. With a team of 40 highly capable engineers and architects experienced in solving the most complex tasks in dozens of international projects, the Grovety team specializes in NN accelerators and other special-purpose chips (MCU / DSP / FPGA / TPU), staying focused on LLVM and TVM frameworks.

For Arm-based AI chipmakers
– TVM and LLVM adaptation for efficient AI tasks performance on your hardware platform

For Arm-based AI chips users
– Optimize your neural network inference for a needed hardware platform.
– Execution infrastructure deployment.
– Neural network optimization for a target processor.
– OTA updates infrastructure design.
– Neural network and hardware platform selection for optimal performance/cost ratio.
– Remote Continuous Integration on the real hardware set-up and support.


Imagimob is a startup driving innovation at the forefront of Edge AI and tinyML enabling the intelligent products of the future. Based in Stockholm, Sweden, the company has been serving global customers within the automotive, manufacturing, healthcare, and lifestyle industries since 2013. In 2020, Imagimob launched SaaS Imagimob AI for the end-to-end development of Edge AI applications for devices with constrained resources. Imagimob AI guides and empowers users throughout the entire development journey. Dedicated to staying on top of the latest research, the Imagimob team is always thinking new and thinking big.

Here at Infineon, we combine entrepreneurial success with responsible action to make life easier, safer, and greener. Barely visible, semiconductors have become an indispensable part of everyday life. We play a key role in shaping a better future – with microelectronics that link the real and the digital world. Our semiconductors enable efficient energy management, smart mobility, as well as secure, seamless communications in an increasingly connected world.

Infineon designs, develops, manufactures and markets a broad range of semiconductors and system solutions. The focus of its activities is on automotive and industrial electronics, communication and information technologies, IoT, sensor technology and security. The product range comprises standard components, software, customer-specific solutions for devices and systems, as well as specific components for digital, analog, and mixed-signal applications.

itemis AG is an independent IoT-software and IT consulting company for the development of smart products and services. It offers their customers from a wide range of industries individual solutions for enterprise applications as well as software tools for the development of embedded systems to generally simplify digitization and accelerate the go-to-market of their customers. In doing so, itemis closes the gap between product and software development with its portfolio:

This portfolio consists of the following unique IoT solutions familiy, YAKINDU with ist solutions Security Analyst, Traceability, and Statechart Tools. Other pillars of the itemis offerings are IoT-solutions engineering, cloud and enterprise consulting for efficient software development projects, and advanced system engineering.

Klika Tech is a global IoT and cloud-native product and solutions development company headquartered in the U.S. with operations and offices across North America, Europe and Asia. We co-create end-to-end hardware, embedded, and cloud solutions for a range of industries including smart home / building / city platforms, connected healthcare, smart retail, connected agriculture, asset tracking and logistics, automotive / smart mobility, and edge to cloud integrations. Klika Tech is an Advanced Consulting and IoT Competency Partner in the AWS Partner Network (APN) with AWS Service Delivery designations for AWS IoT Core Services, AWS IoT Greengrass, Amazon API Gateway, AWS CloudFormation, and AWS Lambda. For more information visit www.klika-tech.com

Nota AI is a tech startup with a focus on optimizing AI models with its main platform, NetsPresso (https://www.netspresso.ai/), and develops diverse edge AI solutions including an intelligent transportation system and a low-powered driver monitoring system.
Nota’s NetsPresso is a proprietary hardware-aware AI model optimization platform that automates the development process for lightweight computer vision AI models. NetsPresso significantly reduces the time and resources that are required to develop an AI model and optimizes the model for target hardware to enable deployment in production. NetsPresso consists of the following modules: Model Search, Compression Toolkit, and Model Packaging.
Nota is an NVIDIA Inception Premier Member and Arm AI Ecosystem partner.

NXP Semiconductors N.V. (NASDAQ: NXPI) enables secure connections for a smarter world, advancing solutions that make lives easier, better, and safer. As the world leader in secure connectivity solutions for embedded applications, NXP is driving innovation in the automotive, industrial & IoT, mobile, and communication infrastructure markets. Built on more than 60 years of combined experience and expertise, the company has approximately 29,000 employees in more than 30 countries and posted revenue of $8.61 billion in 2020. Find out more at NXP Semiconductors.

An early stage of spin-off from MIT, OmniML is co-founded by MIT EECS professor Song Han and a team of world-leading experts on creating efficient deep learning models for edge devices. Well-funded by industry-leading investors, OmniML is passionate to bridge the huge gap between AI applications and diverse edge devices by building an automatic machine learning operating platform which is equipped with the best hardware-aware AutoML technology.

Prophesee is the inventor of the world’s most advanced neuromorphic vision systems.

The company developed a breakthrough Event-Based Vision approach to machine vision. This new vision category allows for significant reductions of power, latency, and data processing requirements to reveal what was invisible to traditional frame-based sensors until now. Prophesee’s patented Metavision® sensors and algorithms mimic how the human eye and brain work to dramatically improve efficiency in areas such as autonomous vehicles, industrial automation, IoT, mobile, and AR/VR. Prophesee is based in Paris, with local offices in Grenoble, Shanghai, Tokyo, and Silicon Valley.

The company is driven by a team of more than 100 visionary engineers, holds more than 50 international patents, and is backed by leading international equity and corporate investors including 360 Capital Partners, European Investment Bank, iBionext, Inno-Chip, Intel Capital, Renault Group, Robert Bosch Venture Capital, Sinovation, Supernova Invest, Xiaomi.

Learn more: www.prophesee.ai.

Qeexo automates end-to-end machine learning model development for edge devices (e.g. Cortex M0-M4 class MCUs). Its Qeexo AutoML platform allows users to collect, clean, and visualize sensor data to automatically build machine learning models using various algorithms. Solutions built with Qeexo AutoML enable ultra-low latency, ultra-low power consumption, and small-memory-footprint applications which can even run on a Cortex-M0+!

Qeexo AutoML supports machine learning engineering from prototype to production for applications in industrial, IoT, wearables, automotive, mobile, and more.

In addition to launching Qeexo AutoML last June, Qeexo provides machine learning, signal processing, sensor fusion, and embedded computing solutions. Since 2012, Qeexo has commercialized multiple machine learning applications with the world’s leading device manufacturers. Globally, over 400 million devices are equipped with machine learning solutions built by Qeexo.

AI is transforming everything. We are making AI ubiquitous.

Today, more intelligence is moving to end devices, and mobile is becoming the pervasive AI platform. Building on the smartphone foundation and the scale of mobile, Qualcomm envisions making AI ubiquitous—expanding beyond mobile and powering other end devices, machines, vehicles, and things. We are inventing, developing, and commercializing power-efficient on-device AI, edge cloud AI, and 5G to make this a reality.

Reality AI’s product development environment is designed for Edge AI / Tiny ML using sensors. Tools that generate TinyML models without code have become commonplace, but there is much more that machine learning can do for your product. We offer AI-driven technology to help select the best instrumentation, components, and placement options- and to build, optimize and deploy ML models in your product’s firmware. Pre-built Edge AI sensing modules are available or our Reality AI Tools® platform allows you to build your own solution. Whether you are looking for a way to make vehicles safer, detect anomalies, predict maintenance needs, or any other sensor-based use case, we have you covered from data readiness to real-world deployment.

Reexen is a rising leader in the field of on-device edge computing for consumer and industrial markets, especially in use cases that need low power and high energy efficiency. Reexen’s core expertise includes analog/mixed-signal and digital ASIC design, signal processing, and deep learning algorithms, as well as development of high-end AIoTs applications.

The mixed-signal computing chips solve problems of latency and high energy consumption in A/D conversion and data-intensive DSP by directly processing the sensory signals in real-time in analog representation as well as by processing the data in memory blocks with mixed-signal circuitry breaking the “memory wall” bottleneck in conventional Von Neumann Architectures. Moreover, the processing precision of our chips can be adjusted and customized for different application scenarios, such as voice detection and recognition, visual detection and recognition etc., which is an important technological breakthrough suitable for future passive/battery-powered wireless AIoTs.

Renesas Electronics delivers trusted embedded design innovation with complete semiconductor solutions that enable billions of connected, intelligent devices to enhance the way people work and live. A global leader in microcontrollers, analog, power, and SoC products, Renesas provides comprehensive solutions for a broad range of automotive, industrial, infrastructure, and IoT applications that help shape a limitless future.

Seeed is the IoT hardware enabler providing products and services that empower millions of global developers to swiftly realize their products and scale up their innovations. By partnering with technology providers from hardware to the cloud, Seeed offers a wide array of ready-to-deploy devices that are highly compatible with TinyML framework and ready to be integrated with existing development platforms for machine learning on edge devices.


SensiML pioneered software tools for the development of TinyML code for IoT sensor applications. SensiML Analytics Toolkit automates AI and code generation and addresses one of the most common causes of failure in AI projects by supporting data collection and labeling. SensiML provides an end-to-end AI development platform from point-and-click UI model creation to control of the model build and test workflow. With provided examples spanning applications from agricultural machine monitoring to consumer IoT wake word detection, SensiML enables developers to build production-grade smart sensor devices.

Silicon Labs provides silicon, software and solutions for a smarter, more connected world. Our technologies are shaping the future of the Internet of Things, Internet infrastructure, industrial automation, consumer and automotive markets. Our engineering team creates products focused on performance, energy savings, connectivity, and simplicity.

Sony Semiconductor Solutions Corporation is a wholly-owned subsidiary of Sony Group Corporation and the global leader in image sensors. We strive to provide advanced imaging technologies that bring greater convenience and joy to people’s lives. In addition, we also work to develop and bring to market new kinds of sensing technologies with the aim of offering various solutions that will take the visual and recognition capabilities of both human and machines to greater heights.

Visit us at: https://www.sony-semicon.co.jp/e/

View our Corporate slogan “Sense the Wonder”: https://www.sony-semicon.co.jp/e/company/vision

At ST, we are 46,000 creators and makers of semiconductor technologies mastering the semiconductor supply chain with state-of-the-art manufacturing facilities. An independent device manufacturer, we work with more than 100,000 customers and thousands of partners to design and build products, solutions, and ecosystems that address their challenges and opportunities, and the need to support a more sustainable world. Our technologies enable smarter mobility, more efficient power and energy management, and the wide-scale deployment of the Internet of Things and 5G technology. Further information can be found at www.st.com.

Stream Analyze…

Synaptics (Nasdaq: SYNA) is changing the way humans engage with connected devices and data, engineering exceptional experiences throughout the home, at work, in the car, and on the go. Synaptics is the partner of choice for the world’s most innovative intelligent system providers who are integrating multiple experiential technologies into platforms that make our digital lives more productive, insightful, secure, and enjoyable. These customers combine Synaptics’ differentiated technologies in touch, display, and biometrics with a new generation of advanced connectivity and AI-enhanced video, vision, audio, speech, and security processing. Follow Synaptics on LinkedIn, Twitter, and Facebook, or visit synaptics.com.

SynSense builds sensing and inference hardware for ultra-low-power (sub-mW) embedded, mobile and edge devices. We design systems for real-time always-on smart sensing, for audio, vision, bio-signals, and more.

Syntiant Corp. is a provider of tinyML solutions making edge AI a reality for always-on applications in battery-powered devices. The company’s award-winning Neural Decision ProcessorsTM (NDP) bring a highly accurate, ultra-low-power AI interface to always-on image, voice, audio and sensor applications across a wide range of consumer and industrial use cases, including earbuds, wearables, medical devices, mobile phones, laptops, smart home, smart appliances, industrial IoT and automobiles. Its Syntiant® NDP120 processor has been named  “Best Product of the Year” by the tinyML Foundation.

Syntiant’s Core architecture enables machine learning workloads normally run on high-powered application processors or on cloud servers to be performed in the low-power, always-on domain. Designed by applying a co-design hardware/software methodology, Syntiant’s purpose-built devices offer 100x efficiency improvement while providing a 10x increase in throughput compared to current low-power MCU solutions, enabling larger neural networks at significantly lower power. 

XMOS was formed in 2005, when a small team assembled to create a fast and flexible microcontroller that would enable designers to respond quickly to diversifying market demand. The first (XS1) and second (xcore-200) generation processors combined software-based I/O capability with digital signal processing (DSP) and control processing. Thus establishing the XMOS reputation in the audio sector.

The company vision then shifted towards AI. Caught between two very different technical and commercial models, Graphcore was formed to focus on server-side AI while XMOS continued the quest towards embedded intelligence (edge-AI). Most recently, XMOS enabled voice applications to become mainstream by releasing the XVF3510 providing a far-field 2-microphone voice interface. This was followed up with the xcore.ai processor for the AIoT that integrates AI, DSP, control, and I/O.