Aizip, headquartered in Silicon Valley, specializes in crafting high-performance AI models tailored for endpoint devices within the edge and extreme edge sectors. Recognizing the vast variability of these applications, Aizip harnesses AI design automation (ADA) to ensure unparalleled scalability. The company’s objective is to elevate AI performance to its zenith, even under stringent constraints, making robust AI accessible everywhere.
Aizip offers an extensive range of cutting-edge tinyML and EdgeAI models across vision, audio, and time series domains. These models not only deliver superior performance but also guarantee a rapid deployment cycle and exceptional return on investment for global clients. Pioneering in both robustness and efficiency, Aizip’s solutions are now being shipped in large volumes and can seamlessly integrate into a myriad of applications, paving the way for a smarter, automated, and interconnected future.
Interview with Yubei Chen, Co-Founder & CTO at Aizip Inc.
Easy Engineering: What are the main areas of activity of the company?
Yubei Chen: Aizip’s core competencies encompass cutting-edge research and design of efficient AI models, rigorous deployment and evaluation of AI solutions, and strategic marketing and sales initiatives.
E.E: What’s the news about new products?
Y.C: Recently, Aizip unveiled its Adaptable and Robust Anomaly Detection (ARAD) models tailored for the enterprise sector. Utilizing its unique design tools, which encompass foundation models and generative AI, Aizip has meticulously engineered these deep neural network models to support diverse applications without the need for retraining.
E.E: What are the ranges of products?
Y.C: The broad AI portfolio Aizip offers covers vision, audio, and time series and can be used for consumer and enterprise customers.
E.E: At what stage is the market where you are currently active?
Y.C: Aizip is in volume shipping with multiple customers.
E.E: What can you tell us about market trends?
Y.C: We have seen a notable uptick in activities. After a decade marked by rapid AI advancements and comprehensive education, the universal applicability of AI in enhancing our world has become evident. We’re convinced that the future lies in pervasive AI, driven by AI design automation!
E.E: What are the most innovative products marketed?
Y.C: We’ve witnessed many innovative market ideas and, in collaboration with our partners, have brought numerous groundbreaking products to life. One example is the sensor-based ARAD, co-developed with Analog Devices, which clinched the AI/ML Product of the Year Award at Sensors Converge. Additionally, our ultra-efficient deep noise reduction model is a versatile solution for various audio products. In vision applications, our collaboration with Renesas resulted in a landmark achievement: integrating five tinyML models on a single ARM M4 device, setting a new standard for sensor fusion.
E.E: What estimations do you have for 2023?
Y.C: We anticipate expanding our clientele and securing more design wins. We’re poised for rapid growth in the forthcoming years.
