Edge Impulse

At the heart of Edge Impulse is a mission to empower developers to create the next generation of intelligent devices. Founded in 2019 by Zach Shelby and Jan Jongboom, the company is driven by the belief that machine learning can bring about significant positive societal and industrial advancements. Edge Impulse is dedicated to making the development, deployment, and scaling of embedded machine learning applications faster and more accessible than ever before. This commitment is rooted in a culture of transparent engineering, where empowering developers with the tools and information they need to succeed is paramount. The company fosters a community-first approach, recognizing that the widespread adoption of machine learning at the edge is a collaborative effort. This philosophy extends to a 'better together' mindset, emphasizing partnerships and open dialogue.

Edge Impulse's core values revolve around user obsession and 'tech for good'. The primary focus is on enabling developers to create tangible business value through ML at the edge, making user experience a foundational principle. Furthermore, the company is committed to supporting applications that leverage machine learning for positive societal impact, underscored by a Responsible AI License requirement. This dedication to ethical and impactful technology is reflected in their efforts to provide powerful automation and low-code capabilities, simplifying the creation of valuable datasets and the development of advanced AI for streaming data. With a rapidly growing community of over 160,000 developers working on hundreds of thousands of ML projects, Edge Impulse has established itself as a trusted platform for both enterprises and individual developers. The company's technology is utilized by leading health-wearable device makers, industrial organizations like NASA, and top silicon vendors, demonstrating its versatility and reliability across diverse sectors. Edge Impulse is not just building a platform; it's cultivating an ecosystem where innovation in embedded AI can flourish, driving the future of intelligent devices.