SOFTEYE

We are building the fundamental technologies for AI glasses

Our technology redefines how people communicate with the world and generative AI

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About Us

01

We are building technologies for AI glasses connecting the user with generative AI

Building the chips that enable the eyes for GenAI

Letting the AI see what the user sees

02

We are a systems
solution company

We develop custom chips, cameras and AI algorithms to enabling an End-to-End System

Our solution provides highest accuracy at the lowest power consumption

03

We believe in visual data to build the most personal assistant

Visual data over time is the fundamental building block for personalized memory

Over time visual memory can be used for recall and search

Mission

Our goal is to deliver key technologies to enable AI Glasses with the most intuitive and compelling user experiences.

Vision

We believe that AI glasses can connect people with generative AI in the most personal way.

Strategy

We craft tailored hardware and software integrated system with efficiency at its core. We partner with companies to augments human knowledge in its simplest and non intrusive manner.

Team

Cores

Te-Won Lee

CEO

Expert in AI algorithm (IEEE Fellow), former UCSD faculty
SVP at Samsung, Head of Custom SoC
President of Qualcomm Korea
Founder & CEO of SoftMax acquired by Qualcomm
TU Berlin Diplom/PhD, Max Planck Institute Fellow

Edwin Park

VP Engineering

Systems low power SoC expert at Qualcomm, TI
+20 years of low power SoC design and ML algorithms
Rice Univ. BA/BS/MEE

James Lee

Systems Lead

Systems HW/SW/DSP expert
NN/ML and Data Analytics
TI, Nokia, Bell Labs
GeorgiaTech PhD

Aravind Natarajan

SW Lead

Embedded SW Expert
Extensive experience with mobile and ultra low power computing solutions
Qualcomm, Amazon
University of Texas at Dallas PhD

Ravishankar Sivalingam

ML Lead

Edge and Cloud AI Expert
Extensive experience in low power ML solutions
Qualcomm, 3M
University of Minnesota PhD

Ed Tiongson

Business Development Lead

+20 years of business and product development Experience at Qualcomm, Hitachi, Sarcos

DoYoung Lee

HCI Lead

Human-Computer Interface expert focused on wearable devices
Expert in mobile app design and cloud services
UNIST PhD

Engineering teams in

San Diego / Seoul / Taipei

San Diego: Systems HW and chip design, AI/ML algorithms, Embedded SW design
Seoul: SW development, implementation, UX test
Taipei: Customized HW/SW development

Advisors

Terrence Sejnowski

Advisor

UCSD & Salk Professor
President & Founder of NeurIPS
Member of National Academy Member of Science,
Engineering & Medicine
Princeton PhD, Harvard PostDoc

Gu-Yeon Wei

Advisor

Harvard Professor (+20 years)
AI chip expert, ML Perf Board Member
Fellow,Samsung Research
Stanford BS/PhD

Avi Bar-Zeev

Advisor

+30 Years Industry Veteran at Apple, Microsoft, Amazon, Disney
Projects including Apple Vision Pro, Hololens, Echo Frames, XR devices

Benson Lam

Advisor

CEO of ExPost Technology Inc.
Licensing and business development SVP as Qualcomm (+25 years)
Caltech BS, UC San Diego PhD

Ian Oakley

Advisor

KAIST Professor
HCI expert, +20 years of research on wearable devices
University of Glasgow BSc/PhD

Te-Won Lee

CEO

Expert in AI algorithm (IEEE Fellow), former UCSD faculty
SVP at Samsung, Head of Custom SoC
President of Qualcomm Korea
Founder & CEO of SoftMax acquired by Qualcomm
TU Berlin Diplom/PhD, Max Planck Institute Fellow

Edwin Park

VP Engineering

Systems low power SoC expert at Qualcomm, TI
+20 years of low power SoC design and ML algorithms
Rice Univ. BS/MS

‍James Lee

Systems Lead

Systems HW/SW/DSP expert
NN/ML and Data Analytics
TI, Nokia, Bell Labs
GeorgiaTech PhD

Aravind Natarajan

SW Lead

SW for Ultra Low Power Computing Solutions at Qualcomm
Alexa Voice Service SDK at Amazon
University of Texas at Dallas PhD

DoYoung Lee

HCI Lead

Human-Computer Interface expert focused on wearable devices
Expert in mobile app design and cloud services
UNIST PhD

‍Terrence Sejnowski

Advisor

UCSD & Salk Professor
President & Founder of NeurIPS
Member of National Academy Member of Science,
Engineering & Medicine
Princeton PhD, Harvard PostDoc

‍Gu-Yeon Wei

Advisor

Harvard Professor (+20 years)
AI chip expert, ML Perf Board Member
Fellow,Samsung Research
Stanford BS/PhD

Avi Bar-Zeev

Advisor

+30 Years Industry Veteran at Apple, Microsoft, Amazon, Disney
Projects including Apple Vision Pro, Hololens, Echo Frames, XR devices

Eng teams in

San Diego / Korea

San Diego: High-level algorithm design, HW/SW specifications
Korea: HW/SW development, implementation, test

Technology

Eyes of GenAI (eyeGenI™, eyeGI™)

Context Aware Computing

AI glasses blend insights from your surroundings, past activities, and preferences for tailored assistants.

Memory & Recall

Capture and tag visual memories with metadata, enabling easy recall of moments and details.

Visual analysis &
scene recognition

Real-time scene and object recognition provides insights and information about your surroundings.

Mimicking the brain to create levels of metadata:
Efficient solution for low power Al processing

Metadata Level 1:

Early layers of visual cortex layers encode simple and complex image features

Metadata Level 2:

Combining visual information with cerebellum and temporal lobe results in sense and awareness for working memory

Metadata Level 3:

Hippocampus inside the temporal lobe is responsible for learning, recall and storage for long term memory

Unleash Power on a Budget

Always-On
Computer Vision

Continuously scans and interprets the environment, providing support seamlessly even without user activation. Privacy protection by design.

Real Time
Recognition

Instantly identifies objects, people, and texts, offering immediate context or action suggestions.

Ultra low power
AI processor

Powers sophisticated AI capabilities with minimal energy consumption, supporting over a day's usage.

Wearable devices will be powered by small recharagble batteries
Processing must operate at ultra-low power
- Multiple orders of magnitude power reduction
Our approach combines Al algorithms with low power architecture design

Imagine the possibilities
AI can bring to your daily life

The AI glasses can assist you

Based on See what you see and Hear what you hear