Gear Up Graduation Ceremony, Startup Showcase & HKU Demo Day 2024 Round 2

Gear Up Graduation Ceremony, Startup Showcase & HKU Demo Day

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Gear Up Graduation Ceremony, Startup Showcase, and HKU Demo Day

 

The Gear Up Graduation Ceremony, Startup Showcase, and HKU Demo Day will be held on June 27, 2024 (Thursday) at 2pm in Lee Shau Kee Center, Lecture Hall II of the Centennial Campus at the University of Hong Kong.  
 
The aim of the “Gear Up HKU Startup Seed Fund Incubation Programme” is to provide entrepreneurial support, incubation services, and capital assistance to young people, helping them realize their entrepreneurial dreams. The Gear Up Graduation Ceremony is a significant milestone for our start-up teams, symbolizing their hard work, dedication, and innovative contributions. The graduating start-up teams have a solid research foundation and cover a wide range of areas, including marine biotechnology, robotics, healthcare services, silver age products, and quality education platforms.   
 
Following the Graduation Ceremony, the HKU Demo Day will commence at the nearby venue. The Demo Day event features two parallel tracks: Advanced Tech and Healthcare, where startups will pitch their business plan and latest progress, for VC investors providing their valuable feedbacks. Join us in witnessing the future of Advanced Technology and Healthcare and in supporting these promising startups on their path to success.  
 
We cordially invite you to be part of this special occasion, where you can witness these startup teams as they embark on new milestones.

 

Date: June 27, 2024 (Thursday)

Time: 2:00 PM – 5:30 PM

Location: Centennial Campus, the University of Hong Kong, Pokfulam;

Gear Up Graduation Ceremony and Startup Showcase: Lecture Hall II, CPD-LG 08-09, Lee Shau Kee Center

Advanced Tech Demo Day: CPD-LG 18

Healthcare Demo Day; CPD-LG 34

Event Emcee: Ms Nicole Yau

Luxury Sparkling Tea Tasting: Mindful Sparks Sparkling

 

Gear Up Startup List

Demo Day Startup List

 

 

 

Healthcare

 

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Time Project Project info PIC
3:35-3:50pm Ageing-Emulated Biosystem This project utilizes proprietary stem cell technology to develop an aging-emulated biosystem for anti-aging research. They aim to launch anti-aging products, a precision health management system, and customized solutions for unmet clinical needs and healthy longevity. Prof. Pengtao Liu
3:50-4:05pm Senovac Biotech Limited SenoVac Biotech aims to fight age-associated diseases by developing strategies to eliminate senescent cells and prevent aging disorders through seno-antigens-mediated immune-therapy. Products include antibody drugs, CAR-T/NK cell therapies, and vaccines targeting obesity and other age-related conditions. Prof. Zhongjun Zhou
4:05-4:20pm Bone’s Technology Limited Our project aims to address the burden of bone fractures through innovative solutions. We are developing a machine learning-based diagnostic system for precise fracture risk assessments, set to launch in 2027. Additionally, our non-invasive treatment offerings, including a high-strength injectable hydrogel and robotic-injection system, are scheduled for a 2028 launch. These advancements will revolutionize fracture prevention and treatment, benefiting patients and reducing the strain on the medical industry. Prof. William Lu
4:20-4:35pm Panacea: An AI Driven Bone Tumor Solution This project develops an AI-powered solution for bone tumor diagnosis and treatment. It includes a bone tumor data database, AI diagnostic system, surgical planning system, and online follow-up care. Prof. Jason Cheung
4:35-4:50pm mskalign® SOLUTION This project develops an AI-driven solution for analyzing and treating musculoskeletal disorders (MSK). They have commercialized mskalign® Wukong and miniPACS for in-hospital analysis. Prof. Grace Zhang
4:50-5:05pm Revolutionzing Medcial Surgery Guided by NIR-II Imaging This project aims to develop a near-infrared imaging system for real-time surgical visualization of tumors using fluorescent dyes. They will commercialize the technology, selling imaging systems and probes to Chinese hospitals, and licensing clinical trials to foreign partners Prof. Dai Hongjie
5:05-5:20pm Remobility (Returning Winner) SmartRehab is a digital platform that revolutionizes physiotherapy and occupational therapy by employing the power of artificial intelligence and computer vision technology. It brings these services directly to one’s home, offering detailed instructions and AI-facilitated feedback to enhance exercise performance. Prof. Gary Lau

 

 

 

Advanced Tech

 

Time Project Project info PIC
3:35-3:50pm Hesita: Robotic Multicooker This project involves developing Hestia v5 and Hestia Mini, new generation robotic chefs for restaurants. Hestia v5 is an upgraded version of Hestia v4, while Hestia Mini is a compact tabletop chef. Prof. Guanhua Chen
3:50-4:05pm Exynergy: Wearable Robots for Elderly Assistance This project aims to commercialize wearable robots for elderly assistance, focusing on ankle, knee, hip, elbow, and hand devices using artificial muscles and strength sensors. Key aspects include user testing, regulatory compliance, and manufacturing processes. Prof. Ning Xi
4:05-4:20pm Chemmino This project develops an innovative spectral sensor with wide wavelength coverage, small size, and AI-assisted analysis for healthcare applications. The sensor powers a portable device for health monitoring and disease detection. Prof. CM CHE
4:20-4:35pm TranscEngram: Autonomous Intelligence System Endow machines with intelligence enhance human wisdom and empower world innovation Prof. Ma Yi
4:35-4:50pm DPmat: AI for Materials Building an AI native platform to develop new materials with a focus on lightweight and high entropy, ferroelectric electronics, and solid state batteries more efficiently. Prof. Srolovitz
4:50-5:05pm HKUIT HKUIT focuses on the development and commercialization of AI technologies like video analytics, LLM, and AI generation. They have a wide range of customers, including government departments, enterprises, and NGOs, and have received numerous local and international recognitions. Dr. Wilton Fok
5:05-5:20pm Kodifly (Returning Winner) Kodifly transforms spatial data into actionable intelligence, specializing in advanced 3D point cloud processing and digital twin creation for transport infrastructure monitoring. The flagship product, SpatialSense, integrates high-precision LiDAR, advanced cameras, and AI-driven analytics to provide real-time insights and ensure the safety and efficiency of railway and roadway networks Mr. Henry Wong

 

 

 

Healthcare

Ageing-Emulated Biosystem for Precision Anti-Ageing Management

 

This project utilizes proprietary stem cell technology to develop an aging-emulated biosystem for anti-aging research. They aim to launch anti-aging products, a precision health management system, and customized solutions for unmet clinical needs and healthy longevity.

 

Person in Charge: Prof. Pengtao Liu

Senovac Biotech Limited

 

SenoVac Biotech aims to fight age-associated diseases by developing strategies to eliminate senescent cells and prevent aging disorders through seno-antigens-mediated immune-therapy. Products include antibody drugs, CAR-T/NK cell therapies, and vaccines targeting obesity and other age-related conditions.

 

Person in Charge: Prof. Zhongjun Zhou

Bone’s Technology Limited

 

Our project aims to address the burden of bone fractures through innovative solutions. We are developing a machine learning-based diagnostic system for precise fracture risk assessments, set to launch in 2027. Additionally, our non-invasive treatment offerings, including a high-strength injectable hydrogel and robotic-injection system, are scheduled for a 2028 launch. These advancements will revolutionize fracture prevention and treatment, benefiting patients and reducing the strain on the medical industry.

 

Person in Charge: Prof. William Lu

Panacea: An AI Driven Bone Tumor Solution

 

This project develops an AI-powered solution for bone tumor diagnosis and treatment. It includes a bone tumor data database, AI diagnostic system, surgical planning system, and online follow-up care.

 

Person in Charge: Porf. Jason Cheung

mskalign® SOLUTION: A Large AI-driven Systematic Analysis and Treatment for MSK Disorder

 

This project develops an AI-driven solution for analyzing and treating musculoskeletal disorders (MSK). They have commercialized mskalign® Wukong and miniPACS for in-hospital analysis.

 

Person in Charge: Prof. Grace Zhang

Navigation system for surgery

 

This project aims to develop a near-infrared imaging system for real-time surgical visualization of tumors using fluorescent dyes. They will commercialize the technology, selling imaging systems and probes to Chinese hospitals, and licensing clinical trials to foreign partners

 

Person in Charge: Prof. Dai Hongjie

Remobility

 

SmartRehab is a digital platform that revolutionizes physiotherapy and occupational therapy by employing the power of artificial intelligence and computer vision technology. It brings these services directly to one’s home, offering detailed instructions and AI-facilitated feedback to enhance exercise performance.

 

Person in Charge: Prof. Gary Lau

Advanced Tech

Robotic Multicooker

 

This project involves developing Hestia v5 and Hestia Mini, new generation robotic chefs for restaurants. Hestia v5 is an upgraded version of Hestia v4, while Hestia Mini is a compact tabletop chef.

 

Person in Charge: Prof. Guanhua Chen

Wearable Robots for Elderly Assistance

 

This project aims to commercialize wearable robots for elderly assistance, focusing on ankle, knee, hip, elbow, and hand devices using artificial muscles and strength sensors. Key aspects include user testing, regulatory compliance, and manufacturing processes.

 

Person in Charge: Prof. Ning Xi

Chemmino

 

This project develops an innovative spectral sensor with wide wavelength coverage, small size, and AI-assisted analysis for healthcare applications. The sensor powers a portable device for health monitoring and disease detection.

 

Person in Charge: Prof. CM CHE

Engram Autonomous Intelligence System

 

AI-driven Real-time On-site eDNA Surveillance for Environmental and Public Health

 

Person in Charge: Prof. Ma Yi

DPmat: AI for Materials

 

Building an AI native platform to develop new materials with a focus on lightweight and high entropy, ferroelectric electronics, and solid state batteries more efficiently. 

 

Person in Charge: Prof. Srolovitz

HKUIT

 

HKUIT focuses on the development and commercialization of AI technologies like video analytics, LLM, and AI generation. They have a wide range of customers, including government departments, enterprises, and NGOs, and have received numerous local and international recognitions.

 

Person in Charge: Dr. Wilton Fok

HKUIT

 

Kodifly, a technology company using AI to support infrastructure management and increased safety in the Transportation sector

 

Person in Charge: Mr. Henry Wong