About Us

EverBuddy team and care context

Our Story

EverBuddy Limited (長伴在心有限公司) is a Hong Kong company building conversational AI care and companion solutions for Cantonese-speaking older adults, families and care organisations. We develop and validate prototypes through small-scale pilots; actual features and deployment scope are confirmed for each collaboration. EverBuddy began with something we kept seeing in our own families and in care settings: older adults often do not change all at once. They gradually become different from their usual selves, and the people around them may not notice in time.

Someone who used to go for tea and meet friends every day may start going out less after losing a spouse. Others may sleep poorly, lose their appetite, speak less, or experience changes in memory, mood and daily routines. Each change may seem small on its own, but over weeks or months, it can become something families and care teams should pay closer attention to.

We also understand the cultural context of older adults in Hong Kong and Chinese communities. Many in the previous generation are resilient and accustomed to enduring hardship. Even when they are struggling, their first response may still be, “I’m fine” or “Don’t worry about me.” They may not recognise some of their own difficulties, or feel comfortable discussing them with an unfamiliar social worker or professional.

We know the feeling of distance ourselves. Our team includes people from Hong Kong and Mainland China. Some moved away from home to work in Hong Kong; others went overseas to study. We have been fortunate to study and grow at institutions including the University of Cambridge, Stanford University, Tsinghua University, the University of Hong Kong, Zhejiang University, the Chinese University of Hong Kong and Sun Yat-sen University. The further we have travelled, the more clearly we have understood that our progress rests not only on our own efforts, but also on the opportunities our parents, grandparents, teachers and society have given us.

Members of our team have also provided frontline support following the Wang Fuk Court fire in Tai Po and worked in grassroots mental-health and community services. We saw that dedicated frontline professionals need more than additional work. They need better tools to stay informed about the people they support, organise important changes and reserve their limited time for human judgement, empathy and companionship.

That is why we began building EverBuddy.

We want to turn natural, everyday conversations into an ongoing window into an older adult’s life. Through repeated interactions, conversational AI can gradually learn what is usual for that person, notice changes in speech content, tone, pace, sleep, appetite, activity, mood and cognition, and organise the information that matters for families and care teams.

Our goal is not to replace families, social workers or carers with AI. It is to give back through the education, opportunities and professional skills we have received.

The previous generation helped us go further. Today, we want to use what we have learned to support them in return.

Co-founders|A team spanning research, AI, law and business

Our Mission

Help the Helper.

Help carers recognise changes earlier, reduce repetitive documentation for frontline teams, and give families peace of mind even when they cannot be there.

Give time back to the judgement, empathy and companionship that need a human touch.

Our Vision

High-quality, continuous care should not be a privilege for the few.

By lowering barriers through technology, we want every family, regardless of background or financial means, to have access to personal, sustainable support.

Inclusive care starts here.

Co-founders|A team spanning research, AI, law and business

EverBuddy is built by a multidisciplinary team across psychology, artificial intelligence, engineering, law and business, connecting research and technology with real-world service settings.

Emanuel Cheng

Emanuel Cheng

CEO / Chief Research Lead

MPhil in Psychology and Education from the University of Cambridge and First Class Honours in Psychology from the University of Hong Kong. Experience in mental health and behavioural interventions, with prior work across mental health, education AI and community projects.

Daven Chu

Daven Chu

Legal & Compliance Director

Background in Law and Social Sciences (Politics and Law) at the University of Hong Kong and completion of the PCLL; also holds a Canadian NCA Certificate of Qualification. Previous experience includes the Securities and Futures Commission, Intellectual Property Department, law firms and the Department of Justice.

Binwei Chen

Binwei Chen

Chief Technology Officer (CTO)

Engineering undergraduate education at Zhejiang University and a master's degree in Engineering from the Hong Kong University of Science and Technology. Leads EverBuddy's overall technology architecture, product engineering, system development and technical delivery, turning AI capabilities into stable, deployable products.

Wayne Wang

Wayne Wang

Chief AI Officer (CAIO)

Bachelor's degree in Computer Science from Sun Yat-sen University and a master's degree in Computer Technology from Zhejiang University. Former algorithm engineer at Meituan and Kuaishou, leading EverBuddy's AI roadmap, models and algorithms, conversational intelligence and data systems.

Jeff Chen

Jeff Chen

Business Development Director

First Class Honours in International Business Management from the Chinese University of Hong Kong. Experience across product, market and commercial roles with Xiaomi, Cathay Pacific, lululemon, the American Chamber of Commerce in Hong Kong and the Hong Kong Tourism Board.

Alan Chan

Alan Chan

Product & Operations Director

Previously served as an Operations Director at a social service organisation, overseeing operations, external partnerships, and the development and delivery of products and services. He also worked in China Telecom's overseas business, focusing on solution sales and market strategy. At EverBuddy, Alan contributes to product planning, operations and partnership delivery, helping translate technical capabilities into solutions that fit real service needs.

From research and technology to AI, compliance and commercial delivery, we want to bring genuinely useful AI into real care settings.

Innovation programmes, competitions and exhibition records

Starting from Hong Kong, EverBuddy continues to move from concept to real-world application through innovation programmes, competitions, research collaboration and practical service settings.

The entries below are organised from company-supplied materials. Qualifying, ranking, awards and exhibition invitations are listed separately; independent official links are still being checked item by item.

Hong Kong Science and Technology Parks Corporation (HKSTP)

Ideation Programme Member

Shanghai–Hong Kong Open Data Collaboration Competition 2026

Hong Kong Representative Team · Smart Living Award

Beijing–Hong Kong Youth Innovation Cup — Hong Kong Selection

Top 10 · Merit Award

“Maker in China” International SME Innovation and Entrepreneurship Competition — Hong Kong Division

Top 100 projects in Hong Kong

ITJC Tech Singularity 2026: Smart Economy Competition

Preliminary Round Qualifier

InnoEX 2027

Invited Exhibitor

University & research collaboration

Able to explore real-world applications of AI in older-adult care, mental health, cognition and speech with universities and research teams.

Social service & care settings

Able to discuss pilots and deployments of CareCall and other AI solutions with social service, elderly service and care organisations.

Real-world validation

Bringing products into real service workflows, gathering feedback and continuously improving product design.

Allow website analytics?

With your permission, we use Google Analytics cookies to understand page visits, devices and button clicks. Our custom events do not send names, contact details or health content. You can decline without affecting browsing and change your choice at any time using the button at the bottom right.

How Google uses data