tinyML Sponsors

We Are A Mobility AI Company
We envision a world where everything is connected and moves autonomously through a self-managing urban transportation operating system. To achieve our mission of making everything autonomous and frictionless, we are developing optimized SDV (software-defined vehicle) solutions based on AI and software.

Our SDV technology delivers cutting-edge performance through continuous vehicle updates, prioritizing user-centric and safety-first mobility. Additionally, we are developing a data platform for smart mobility services, with the aim of enhancing the efficiency, safety, and sustainability of fleets. Beyond research, we are leading the commercialization of autonomous mobility with our mobility platform, TAP!, which enables passengers to hail a diverse range of autonomous vehicles. To further enhance user-optimized mobility, we are applying our SDV technologies to our in-house built autonomous electric shuttle, offering safer and more innovative mobility experiences.

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. (NASDAQ: ADI) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, and software technologies into solutions that help drive advancements in digitized factories, mobility, and digital healthcare, combat climate change, and reliably connect humans and the world. With reported revenues of more than $12 billion in FY22 and approximately 25,000 people globally working alongside 125,000 global customers and more than 75,000 products

Arduino is the leading open-source hardware and software company in the world. Born to provide an easy-to-use platform for anyone making interactive projects, Arduino has reached a growing community and adapted to new needs and challenges, branching out into products for IoT, wearables, 3D printing, and embedded environments. As of today, the Arduino community includes approximately 30 million active users. With the Pro Business Unit, Arduino supports companies that are interested in going beyond the concept and rapid prototyping phase, to start mass production with the support of a qualified industrial partner and high-performance technological solutions.

Arm technology is defining the future of computing. Our energy-efficient processor designs and software platforms have enabled advanced computing in more than 240 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 the worldwide leader in on-chip edge AI processing and learning technology, that enables faster, efficient, secure, and customizable intelligent devices untethered from the cloud. The company’s first-to-market neuromorphic processor, AkidaTM, mimics the human brain, the most efficient computer known, to analyze only essential sensor inputs at the point of acquisition, executing only necessary operations and therefore, processing data with unparalleled efficiency and precision. This supports a distributed intelligence approach keeping machine learning local to the chip, independent of the cloud, dramatically reducing latency, while simultaneously improving privacy and data security.

The Akida neural processor is designed to provide a complete ultra-low power Edge AI network processor for vision, audio, smart transducers, vital signs and, broadly, any sensor application.
BrainChip’s scalable solutions, that can be used standalone or integrated into systems on chip to execute today’s models and future networks directly in hardware, empowering the market to create much more intelligent, cost-effective devices and services universally deployable across real-world applications in connected cars, healthcare, consumer electronics, industrial IoT, smart-agriculture and more, including use in a space mission and the most stringent conditions.

BrainChip is the foundation for cost-effective, fan-less, portable, real-time Edge AI systems that can offload the cloud, reducing the rapid growth in carbon footprint of datacenters. In addition, Akida’s unique capability to learn locally on device also reduces retraining of models in the cloud whose skyrocketing cost is a barrier to the growth of AIoT.

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.

Efficient is developing the world’s most energy-efficient general-purpose computer processor.  Efficient’s patented technology uses 100x less energy than state-of-the-art commercially available ultra-low-power processors and is programmable using standard high-level programming languages and AI/ML frameworks.  This level of efficiency makes perpetual, pervasive intelligence possible: run AI/ML continuously on a AA battery for 5-10 years.  Our platform’s unprecedented level of efficiency enables IoT devices to intelligently capture and curate the first-party data driving the next major AI/ML revolution.

GreenWaves is a fabless semiconductor company founded in 2014 and based in Grenoble, France. We design and market ultra low power processors for energyconstrained products such as hearables, wearables, IoT & medical monitoring products.

GreenWaves’ system-on-chips enable companies to develop and bring to market products with new to world features enabled by state of the art machine learning and digital signal processing techniques. Our leading edge development tools enable audio and machine learning developers to productively harness the power of GAP processors.

GreenWaves GAP9 processor powers features such as neural network based noise removal and adaptive noise cancellation, multi-channel spatial sound and listening enhancement technologies in next generation earbuds and headphones with market leading energy efficiency.

Grovety is an embedded AI software expert 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 60 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 AI chipmakers
– TVM and LLVM adaptation for specific chip for the best AI tasks performance
For AI accelerators users
– AI-Powered Devices Development
– Optimizing neural network inferences for any hardware platform (power consumption, compression, and performance)
– Neural network design and implementation
– Execution infrastructure deployment
– OTA updates infrastructure design
– Neural network and hardware platform selection to solve your task with the best performance/cost ratio
– Remote Continuous Integration on the real hardware set-up and support

Himax, a leading supplier and fabless manufacturer of display drivers and other semiconductor products such as edge AI processors and always-on image sensors, provides semiconductor solutions specialized in computer vision for consumer electronics brands worldwide. Our design and engineering expertise, combined with our focus on customer service and close relationships with semiconductor manufacturing service providers, has contributed to our success.

Facilitated by Arm Cortex M55 CPU and Ethos U55 NPU, the new generation of Himax low-power endpoint AI chip, compared to its previous generation chip, the inference speed is increased by 32 times, and the energy efficiency is increased by 50 times. It makes it possible to execute more complex models and obtain more accurate inference results while maintaining the original power consumption performance.

WiseEye solutions have been proven in notebook computers and many other applications, including smart meter reading, security monitoring, smart office, smart home, medical assistance, and other fields. With the mass production of a new generation of chips, WiseEye visual AI sensors will be further expanded to meet the needs of more battery-powered smart devices.

IBM discovers, designs, and develops advanced information technology, including AI and machine learning, and translates that into value for their clients through their consulting services

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.

Innatera develops neuromorphic intelligence for sensors. Its pioneering Spiking Neural Processor mimics the mechanisms that the brain uses for sensory perception. With a radically energy-energy efficient computing architecture, these chips allow sensor data to be processed within a sub-milliwatt power envelope, and with sub-millisecond latencies. Innatera’s processors are a critical enabler for intelligent sensing applications in the consumer, IoT, industrial, and automotive markets.

Nota AI (Nota Inc.) is a tech startup specializing in AI model optimization. We aim to bring the benefits of AI to everyone and everywhere, democratizing its use across industries and applications. Our main product is NetsPresso, a hardware-aware AI model optimization platform. NetsPresso enables application of AI solutions for a diverse range of industries including intelligent transportation systems and driver monitoring system. Nota AI partners with market leaders including ARM, NVIDIA, Samsung SDS, LG CNS, Microsoft, and AWS.

NXP Semiconductors N.V. (NASDAQ: NXPI) enables a smarter, safer and more sustainable world through innovation. As the world leader in secure connectivity solutions for embedded applications, NXP is pushing boundaries 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 31,000 employees in more than 30 countries and posted revenue of $11.06 billion in 2021.

PIMIC is an AI semiconductor and solution company focused on new hardware architecture with analog processing-in-memory technology. This architecture can dramatically increase computing by 50x while reducing power consumption by 20x. Our solution can apply to numerous AI inference applications. Our first product will achieve speech recognition processing under 40uW, at one-twentieth the power of today’s best solution.

PIMIC’s advanced hardware architecture enables machine learning without relying on cloud computing. By utilizing in-memory computing and standard CMOS processes, PIMIC’s analog in-memory compute processors can directly process neural network layers resulting in improved performance and with greater ROI. PIMIC solutions can provide always-on processing for voice, audio, image, and time-series applications in a range of industrial and consumer domains. With the ability to run for years on a coin-cell battery, PIMIC’s solutions are cost-effective and provide low latency solutions while ensuring privacy and security at tera operations per second (TOPs).

POLYN Technology is a fabless semiconductor company, supplying high-performance Neuromorphic Analog Signal Processing (NASP) technology and application-specific ultra-low-power Tiny AI neuromorphic analog chips. NASP is ideal for raw sensor data pre-processing.

POLYN’s Neural-Net-To-Chip automation tools support the fast and cost-effective development of tailored solutions performing AI computations on-device. The technology and products enable a wide range of edge AI applications with power consumption, accuracy, size and cloud connectivity constraints, like wearables, hearables, Industry 4.0, Connected Health 4.0, Smart Home and more.

Qeexo is the first company to automate end-to-end machine learning for embedded edge devices (Cortex M0-M4 class). Qeexo was originally founded as an ML application company delivering applications to the smartphone market. Qeexo created an automation process and tooling (AutoML tool) to scale AI/ML application deployment due to high demand from multiple phone projects.  Qeexo’s one-click, fully-automated Qeexo AutoML platform allows customers to leverage sensor data to rapidly build machine learning solutions for highly constrained environments with applications in industrial, IoT, wearables, automotive, mobile, and more. Over 300 million devices worldwide are equipped with AI built on Qeexo AutoML. Delivering high performance, solutions built with Qeexo AutoML are optimized to have ultra-low latency, ultra-low power consumption, and an incredibly small memory footprint.

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.

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.

At Schneider Electric, we are committed to solving real-world problems to create a sustainable, digitized, new electric future.

We combine our long-standing manufacturing and domain expertise with cutting-edge innovation in AI, machine learning, and deep learning to empower smarter decision-making, agility, and decarbonization. We are transforming energy management and industrial automation with artificial intelligence technologies to create a more sustainable world.”


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 is pureplay IoT fabless semiconductor company focused on wireless connectivity delivered through silicon and software platforms. We offer multiple wireless protocol solutions, as well as advanced security and AI/ML integrations right to the tiny edge. As a pure play IoT company, Silicon Labs develops key technologies to enable and grow applications at the tiny edge space, such as Low-power MCU architectures optimized for longer life of battery powered devices.​ We support solutions for multiple protocols and continue to drive adoption of newer protocols like Matter and Amazon Sidewalk.​​ Silicon Labs also invests heavily in IoT security for our products. We are the first in our space to obtain PSA3 certification on our IoT security solution called secure vault. Our integrated hardware and software platform, intuitive development tools, unmatched ecosystem and robust support make us the ideal long-term partner in building advanced industrial, commercial, home and life applications.

Sony Semiconductor Solutions Corporation (“Sony”) is a wholly-owned subsidiary of Sony Group Corporation and global leader in image sensors.

Sony has recently developed and released AITRIOS™, a new edge AI sensing platform. Combined with the Sony’s unique IMX500 intelligent vision sensor, the AITRIOS platform makes it possible to streamline the development and implementation of AI camera-driven and other sensing solutions. The first step in the service entails providing a one-stop environment that offers various features that will make it easy for partnering solution providers such as AI developers, application developers, camera manufacturers/module integrators, and system integrators to build solutions spanning from edge to cloud.

View AITRIOS : https://www.aitrios.sony-semicon.com/en/

SqueezeBits is building an ecosystem for designing, training, and deploying highly compressed Neural Networks. We provide software stacks for building and computing energy-efficient, light-weight and fast deep learning models on various hardware platforms from edge devices to cloud GPUs.

Many open-sourced libraries support INT8 quantization and inference for faster computation. However, we are not satisfied with INT8 precision. We further compress both weights and activations of AI models to **sub-4-bit** precisions. We have broken down the technical barriers to sub-4-bit quantization with our novel AI model compression techniques and inference engine. Our AI model compression algorithm finds the optimal precision of each layer in a given AI model, reducing inference latency while maintaining model accuracy. Our inference engine enables efficient sub-4-bit computation on various platforms from Arm CPUs to GPUs.

At ST, we are more than 50,000 creators and makers of semiconductor technologies mastering the semiconductor supply chain with state-of-the-art manufacturing facilities. An integrated device manufacturer, we work with more than 200,000 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 connectivity. ST is committed to becoming carbon neutral by 2027.

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 is a world-leading neuromorphic engineering company. SynSense provides custom-tailored, ultra-low-power silicon design solutions for industrial and consumer machine-learning inference applications. As a “full-stack” neuromorphic engineering company, SynSense delivers complete solutions, including custom IP, hardware, and software configurations to meet specific application needs. SynSense was founded in March 2017 in Zürich Switzerland, based on ground-breaking advances in neuromorphic computing hardware developed at the Institute of Neuroinformatics of the University of Zurich and the ETH Zurich.

Founded in 2017 and headquartered in Irvine, Calif., Syntiant Corp. is a leader in delivering end-to-end deep learning solutions for edge deployment. The company’s purpose-built silicon and hardware-agnostic models are being deployed globally to power edge AI speech, audio, sensor, and vision applications across a wide range of consumer and industrial use cases, from earbuds to automobiles. Syntiant’s advanced chip solutions merge deep learning with semiconductor design to produce ultra-low-power, high-performance, deep neural network processors. Syntiant also provides compute-efficient software solutions, with proprietary model architectures and hardware-specific optimizations, that enable world-leading inference speed and minimized memory footprint across a broad range of processors. The company is backed by several of the world’s leading strategic and financial investors including Intel Capital, Microsoft’s M12, Applied Ventures, Robert Bosch Venture Capital, the Amazon Alexa Fund and Atlantic Bridge Capital. More information on the company can be found by visiting www.syntiant.com or by following Syntiant on Twitter @Syntiantcorp or LinkedIn.