Aizip took home the prize as Startup of the Year at Best of Sensors on May 6 during Sensors Converge in Santa Clara, Calif. Weier Wan, company CTO and co-founder, described how Aizip has taken advantage of emergence of Edge AI for the industry and his company in this Q&A with Fierce Sensors. Wan holds a PhD in electrical engineering from Stanford and has held his post at Aizip for more than four years.
Fierce Sensors: What does the recognition from Best of Sensors as Startup of the Year mean for you and your company? Your company was described at the awards ceremony as "pushing the boundaries of AI at the edge."
Wan: Our mission from day one has been to embed intelligence into any device. Sensors are central to that, because they are the eyes, ears, and senses of a device, and building the "brain" that sits right next to them has always been core to what we do. So this recognition means a lot. It validates the direction we've committed to and the work the whole team has put in to get here.
FS: Do you have a favorite product or project at Aizip and can you describe it?
Wan: On the sensor side, our work falls into two areas: perception and enhancement.
For perception, the goal is to make fast decisions and run analytics right at the sensor edge. At Sensors Converge, we showcased EMG-based gesture recognition with Asahi Kasei Microelectronics, which won the Best Wearable Product award. We embedded the recognition model directly next to a 2-channel EMG sensor on a wristband, which is an industry first.
For enhancement, the goal is to improve data quality. Our AI audio beamforming product, for example, delivers far better noise reduction than traditional DSP-based beamforming, with a real difference in audio quality in noisy environments.
It's hard to pick a single favorite, but the EMG wristband captures what excites me most: putting real intelligence in a place no one had managed to before.
FS: Is Aizip on a path to IPO or what are the plans? How many work at Aizip today?
Wan: Right now we're focused on delivering value to our customers and growing both our product portfolio and our customer base. An exit plan is something we'll consider further down the road. We're not disclosing team size at this stage, but I can say that we're expanding the team in step with our business growth.
FS: Can you comment more generally on your hopes for AI and its impact on Edge AI? Should the public welcome it or be more suspicious, and why do you think so?
Wan: We believe edge AI is reaching its tipping point this year. It's becoming increasingly important in the broader AI landscape as more people care about cost, privacy, latency, and scalability, all of which edge addresses directly. We see the future as a hybrid of edge and cloud: the edge acts as the first layer to collect, enhance, and filter data and handle more than 80% of routine tasks, while the cloud takes on the more complex work.
The public has good reason to welcome this. Keeping data on the device, rather than sending everything to the cloud, is a meaningful step forward for privacy. Healthy scrutiny is always warranted with any powerful technology, but edge AI moves things in a direction that gives people more control over their own data.
FS: How was your experience at the booth at Sensors Converge? Were you sensing excitement others felt? What gives you hope for your company's ultimate success?
Wan: The excitement was clear. We had a steady stream of people stopping by to see the demos and ask how the technology works. What gives me the most hope is that the market is moving toward edge AI exactly as we anticipated, and we're well-positioned to lead in this space. That combination of timing and capability is why I'm so confident about where we're headed.
Other winners of the Best of Sensors 2026 are available online.