We bring production-grade AI to the edge
Aizip provides efficient models and complete software solutions for hardware manufacturers and enterprises to embed intelligence into any device.
Most AI lives in data centers. Ours lives in the real world.
Our Mission
We're on a mission to become the global leader in edge AI. We build production-grade AI that sees, hears, senses, and responds directly on-device.
Our models power millions of products worldwide. They work on resource-constrained hardware, in noisy environments, and where cloud isn't an option.
We're on a mission to become the global leader in edge AI. We build production-grade AI that sees, hears, senses, and responds directly on-device.
Our models power millions of products worldwide. They run on constrained hardware, in noisy environments, and where cloud isn't an option.
Foundations
Aizip was founded in 2020 by engineers and researchers who thought AI should run on edge devices, not just data centers. The goal: narrow the gap between natural and artificial intelligence by making AI as efficient as the human brain.
We focused on building models from first principles, optimized for edge deployment from the start.
Proving the Technology
We won the IEEE LPCV competition in 2020, proving models could be both tiny and powerful. We worked with leading silicon companies on deep optimization for their processors and chips, from microcontrollers to mobile SoCs.
Our models shipped in hearing aids, security cameras, wearables, smart speakers, automotive systems, and industrial equipment. The technology was proven and ready to scale.
We won the IEEE LPCV competition in 2020, proving models could be both tiny and powerful. Major silicon partnerships followed as we worked together on deep optimization for their processors and chips, from microcontrollers to mobile SoCs. Our models started shipping in hearing aids, security cameras, wearables, smart speakers, automotive systems, and industrial equipment. Each deployment taught us how to handle real-world conditions: noisy environments, battery constraints, limited compute. The technology was proven. Now it needed to scale.
Shipping at Scale
By 2023, we were powering millions of devices worldwide. We built Aizipline, our complete software stack, turning weeks of integration work into days.
In 2024, we stepped into language models and started building on-device and on-prem AI solutions for enterprise. Our models now span audio, vision, time-series, and language, working as complete systems.
The Leader in Edge AI
The Leader in Edge AI
We ship over 2 million models monthly across smart home, healthcare, automotive, industrial, consumer electronics, and enterprise. We brought AI to devices that couldn't run it before. Our customers build businesses on it, users interact with it daily, and products depend on it to function.
Foundations
Aizip was founded in 2020 by engineers and researchers who thought AI should run on edge devices, not just data centers. The goal: narrow the gap between natural and artificial intelligence by making AI as efficient as the human brain.
We focused on building models from first principles, optimized for edge deployment from the start.
Proving the Technology
We won the IEEE LPCV competition in 2020, proving models could be both tiny and powerful. We worked with leading silicon companies on deep optimization for their processors and chips, from microcontrollers to mobile SoCs.
Our models shipped in hearing aids, security cameras, wearables, smart speakers, automotive systems, and industrial equipment. The technology was proven and ready to scale.
Shipping at Scale
By 2023, we were powering millions of devices worldwide. We built Aizipline, our complete software stack, turning weeks of integration work into days.
In 2024, we stepped into language models and started building on-device and on-prem AI solutions for enterprise. Our models now span audio, vision, time-series, and language, working as complete systems.
The Leader in Edge AI
We ship over 2 million models monthly across smart home, healthcare, automotive, industrial, consumer electronics, and enterprise. We brought AI to devices that couldn't run it before. Our customers build businesses on it, users interact with it daily, and products depend on it to function.
