Bluewind, an independent engineering company, provides innovative product design solutions in the fields of Electronics, Energy Efficiency, and Connected Devices.
The R&D task force consists of 20+ experienced engineers, providing full product design and covering the complete design cycle: product strategy, hardware and software design, testing, CE compliance, and production.
Founded in 1998, the company serves primary industries located throughout Europe and the USA, offering wide experience over several application fields.
Cartesiam is an expert in Artificial Intelligence at the Edge and an ISV expert in mathematics, AI and signal processing on microcontrollers.
Cartesiam, invented NanoEdge™, a revolutionary technology enabling Machine Learning and AI analysis in small footprint, low energy devices, such as STM32 microcontrollers.
This capability is unique in the market as it enables not only analysis, but also learning directly within the microcontroller and this, without the help of a complex cloud infrastructure.
Created in 2016 Cartesiam grew up regularly integrating R&D.
Products and services offered by Cartesiam
Cartesiam proposes a patented technology NanoEdge AI™, a library that uses artificial intelligence to create data models directly inside the microcontroller from data or signals acquired by sensors.
Devices equipped with it can autonomously learn from their environment, identify anomalies, and send alerts. This is the first Machine Learning Software specifically developed to entirely run on any Arm® Cortex®-M microcontroller.
NanoEdge AI Studio, a software suite that runs on Windows 10 or Ubuntu and enables users to generate as well as validate machine learning libraries for embedded systems. The program features optimizations for STM32F4 and STM32L4 series.
Cartesiam in STMicroelectronics Ecosystem
Cartesiam is a key partner for condition monitoring of multi-fan system.
This company is well positioned on artificial intelligence, in particular with their NanoEdge AI™ Studio embedded software to easily create custom machine learning library at the Edge able to learn and infer in STM32 controllers.
Cartesiam: Related Resources
Edge Impulse is the leading developer platform for embedded machine learning on STM32. Machine Learning at the very edge will enable valuable use of the 99% of sensor data that is discarded today due to cost, bandwidth or power constraints. TinyML technology is unlocking new possibilities using sensors, audio and vision in machine monitoring, asset tracking, facility management, health, safety and more.
Imagimob is a global leader in artificial intelligence products for edge devices and has developed Imagimob AI. Imagimob AI is a SaaS solution for the development of Edge AI applications. Edge AI enables small devices with intelligence and data processing capabilities, to empower you and your customers with actionable insights—in real-time.
Imagimob AI is focused on deep learning technologies and supports all types of time-series data. Based in Stockholm, Sweden, the company has been serving customers within the automotive, manufacturing, healthcare and lifestyle industries since 2013.
The experienced and visionary team that makes up Imagimob is tirelessly dedicated to staying on top of the latest research, thinking new, and thinking big.
Inventhys is a fast-growing, end-to-end IoT development services company. Our engineers design hardware, embedded software, mobile apps and cloud systems.
This unique combination of expertise ensures integrated and coherent design and project management. We help our customers from concept to mass production, including regulatory certification.
Our customers are start-ups in France and Silicon Valley, and large / very large accounts.
Our offices are in Annecy, Grenoble and San Francisco.
Mjølner Informatics is an innovative software and design consultancy. From our headquarters in Denmark, we turn ideas into digital solutions for our customers worldwide.
Our specialty is embedded software development with a strong focus on Graphical User Interface (GUI) solutions, TouchGFX Applications, and embedded Machine Learning (ML) and Artificial Intelligence (AI). Our teams conceptualize, design, and develop intuitive Embedded User Interfaces and intelligent software that truly make products stand out.
Furthermore, our team helps customers define their business case for existing or new products that integrate Embedded Machine Learning and Artificial Intelligence. From defining your business needs to final implementation, our consults enable you to collect data and train a network according to your business needs. All on low-cost hardware, to keep costs down.
Usability and user-centric development are at the center of everything we do. Our aim is to create tangible value for both businesses and users.
GRAPHICAL USER INTERFACE
When interacting with an embedded GUI product, users expect a smartphone-like experience. We help you meet those expectations and develop your high-end GUI with outstanding performance.
Our diverse skill-set fostered the invention of the revolutionizing GUI framework, TouchGFX, making our Developers, User Experts, and Designers true TouchGFX Experts. Whether you prefer to let Mjølner handle your Embedded Development end-to-end, or simply wish to add one of our experts to your Software Development team, we are here to help.
We also offer to boost your team of developers with our advanced TouchGFX Training.
MACHINE LEARNING AND ARTIFICIAL INTELLIGENCE
We create optimized ML and AI architectures and train custom models for effective storage and inference on MCUs. Our specialty is computer vision but we handle time series data, such as distance sensors or velocity inputs, as well. ML and AI on local MCUs is especially interesting for products where the input data cannot be transported to a cloud system for analysis, due to either confidentiality issues or time constraints.
Our experience range from pre-training full models on a PC, partial training using transfer-learning on a PC, and even minimal training directly on the MCU using kNN style networks.
We are experienced in making quick explorative ML prototypes for early testing of ideas against real-life data. This allows you to validate the feasibility and market potential of new products with minimal effort before starting a larger-scale project.
Our knowledge in the area of ML and AI algorithms and their application possibilities and limitations on MCUs makes Mjølner the ideal partner for sparing when developing new product ideas.
Looking for an implementer to support you with world-class skills within AI or Graphics for embedded devices? Mjølner Informatics is your choice.
#TouchGFX #GUI #GRAPHICS #STM32CubeAI
The OpenMV project is about creating low-cost, extensible, Python powered, machine vision modules and aims at becoming the “Arduino of Machine Vision“.
Our goal is to bring machine vision algorithms closer to makers and hobbyists.
We’ve done the difficult and time-consuming algorithm work for you leaving more time for your creativity!
The OpenMV Cam is like a super powerful Arduino with a camera on board that you program in Python.
We make it easy to run machine visions algorithms on what the OpenMV Cam sees so you can track colors, detect faces, and more in seconds and then control I/O pins in the real-world.
Qeexo is the first company to automate end-to-end machine learning for embedded edge devices (Cortex M0-M4 class). Our 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 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.
(#STM32CubeAI) (#sensortile.box) (#STWIN)
SensiML offers cutting-edge development software that transforms low power IoT endpoints into intelligent AI devices delivering meaningful sensor insights. The company’s flagship solution, the SensiML Analytics Toolkit, provides a complete embedded algorithm development workflow spanning data collection, labeling, testing, algorithm and firmware auto generation. SensiML can be effectively used by teams with or without data science expertise to rapidly build intelligent IoT endpoint devices.
STATWORX is a consulting company for data science, machine learning, and AI located in Frankfurt, Vienna and Zurich. We support our clients in the development and implementation of cutting-edge data science and machine learning projects as well as data driven products.
We offer an exhaustive end-2-end data consulting approach to support our clients with:
- Data Strategy (eg. use case ideation, change management, organizational setup support)
- Data Engineering (design and implementation of data pipelines, storages and architectures)
- Data Science (development, training and evaluation of machine learning and AI models)
- Data Operations (implementation and operation of machine learning models)
- Data Academy (assuring knowledge development through standardized as well as custom tailored trainings and workshops)
In our partnership with ST, we support you in the development and integration of deep learning and neural network solutions for the STM32 microcontroller family (#STM32CubeAI)