If you are building a startup in Hong Kong, your first source of support may be closer than you think.
Updated
May 7, 2026 1:16 PM
Main Building of the University of Hong Kong. PHOTO: ADOBE STOCK
Across Hong Kong’s public universities, entrepreneurship is now part of the campus ecosystem. Many universities offer startup funding, mentorship, training, workspace, investor access and pathways into larger incubation programmes such as Hong Kong Science and Technology Park (HKSTP) and Cyberport.
For student founders, researchers and alumni, this can be a useful place to begin. You may be able to test an idea, build a prototype, form a company or apply for early funding through your own university before looking for external investors.
The challenge is knowing where to start. Each university has its own startup programmes, eligibility rules and funding structure. Some are designed for student ideas. Others are built for research commercialization, deep tech ventures or startups already preparing to raise investment. Below is a practical guide to startup support and university startup funding at five major publicly funded universities in Hong Kong.
HKU offers a wide range of entrepreneurship support through HKU Techno-Entrepreneurship Core, also known as HKU TEC. Its programmes cover early ideas, deep tech projects, Greater Bay Area (GBA) expansion, research commercialization and investor matching.
HKU is especially relevant for founders working with university research, intellectual property or technology-led business ideas. It also has entry-level support for students and graduates who are still testing an idea.
Best fit: HKU works well for student founders, researchers and alumni who want a structured route from idea stage to technology commercialization.
CityUHK’s main startup platform is HK Tech 300. It is one of the clearest university startup pathways in Hong Kong because it is built in stages: training, seed funding, angel investment and access to external funding.
The programme is open to CityUHK students, alumni, research staff and members of the public using CityUHK intellectual property or technology.
Best fit: CityUHK is a strong choice for founders who want a step-by-step startup journey with clear funding stages.
HKUST has a broad startup ecosystem with support for students, alumni, researchers and faculty. Its entrepreneurship pathway covers idea exploration, prototyping, MVP testing, research commercialization and investment.
The university’s startup support is especially strong for technology companies, deep tech projects and teams commercialising HKUST research.
Best fit: HKUST is especially useful for tech startups, deep tech teams and founders who need a route from prototype to commercialization.
PolyU’s startup support is practical and product-focused. Its programmes cover early ideas, seed-stage teams, Greater Bay Area expansion, translational research and investment.
This makes PolyU a good fit for founders working on engineering, hardware, applied technology, social impact or commercialization of university research.
Best fit: PolyU is well suited for product-led startups, applied technology projects, GBA expansion and founders who want industry-facing support.
CUHK offers support for student founders, researchers and alumni through the Pi Centre and the Knowledge Transfer Office. Its ecosystem covers pre-incubation, TSSSU funding, early translational research, social impact projects and Greater Bay Area entrepreneurship.
CUHK is especially useful for students who want to start with an idea and later move into funding, mentorship or external incubation.
Best fit: CUHK is a good starting point for student founders who need pre-incubation support, and for researchers moving early-stage ideas toward commercial use.
There is no single best programme for every founder. The right choice depends on your stage, your university connection and the type of startup you are building.
Hong Kong’s university startup ecosystem is bigger than many founders realize. If you are a student, alumnus, researcher or university-linked founder, your campus may already offer a route into funding, mentorship, workspace and incubation.
The key is to choose a programme that matches your current stage. Some founders should start with idea validation. Others may be ready for seed funding, TSSSU support or investment.
Before applying, check the latest deadline and eligibility rules on the official university page. These programmes change often, and some funding rounds open only once or twice a year.
Keep Reading
Examining how robots are moving from demonstrations to daily use.
Updated
January 28, 2026 5:53 PM
An industrial robotic arm capable of autonomous welding. PHOTO: ADOBE STOCK
CES 2026 did not frame robotics as a distant future or a technological spectacle. Instead, it highlighted machines designed for the slow, practical work of fitting into human systems. Across the show floor, robots were no longer performing for attention but being shaped by real-world constraints—space, safety, fatigue and repetition.
They appeared in factories, homes, emergency settings and industrial sites, each responding to a specific kind of human limitation. Together, these four robots reveal how robotics is being redefined: not as a replacement for people, but as infrastructure that quietly takes on work humans are least meant to carry alone.
Hyundai Motor unveiled its electric humanoid robot, Atlas, during a media day on January 5, 2026, at the Mandalay Bay Convention Center in Las Vegas as part of CES 2026. Developed with Boston Dynamics, Hyundai’s U.S.-based robotics subsidiary, Atlas was presented in two forms: a research prototype and a commercial model designed for real factory environments.
Shown under the theme “AI Robotics, Beyond the Lab to Life: Partnering Human Progress,” Atlas is designed to work alongside humans rather than replace them. The premise is straightforward—robots take on physically demanding and repetitive tasks such as sorting and assembly, while people focus on work requiring judgment, creativity and decision-making.
Built for industrial use, the commercial version of Atlas is designed to adapt quickly, with Hyundai stating it can learn new tasks within a day. Its adult-sized humanoid form features 56 degrees of freedom, enabling flexible, human-like movement. Tactile sensors in its hands and a 360-degree vision system support spatial awareness and precise operation.
Atlas is also engineered for demanding conditions. It can lift up to 50 kilograms, operate in temperatures ranging from –20°C to 40°C and is waterproof, making it suitable for challenging factory settings.
Looking ahead, Hyundai expects Atlas to begin with parts sorting and sequencing by 2028, move into assembly by 2030 and later take on precision tasks that require sustained physical effort and focus.
Widemount’s Smart Firefighting Robot is designed to operate in environments that are difficult and dangerous for humans to enter. Developed by Widemount Dynamics, a spinout from the Hong Kong Polytechnic University, the robot is built to support emergency teams during fires, particularly in enclosed and smoke-filled spaces.
The robot can move through buildings and industrial facilities even when visibility is near zero. Rather than relying on cameras or GPS, it uses radar-based mapping to understand its surroundings and determine a safe path forward. This allows it to continue operating when smoke, heat or debris would normally restrict access.
As it approaches a fire, the robot analyses the burning object. Its onboard AI helps identify the material involved and selects an appropriate extinguishing method. Sensors simultaneously assess flame intensity and send real-time updates to command centres, giving responders clearer situational awareness.
When actively fighting a fire, the robot can aim directly at the source and deploy extinguishing agents autonomously. The system continuously adjusts its actions based on incoming sensor data, reducing the need for constant human intervention during high-risk situations.
At CES 2026, LG Electronics offered a glimpse into how household work could gradually shift from people to machines. The company introduced LG CLOiD, an AI-powered home robot designed to manage everyday chores by working directly with connected appliances within LG’s ThinQ ecosystem.
Designed for indoor living spaces, CLOiD features a compact upper body with two articulated arms, a head unit and a wheeled base that enables steady movement across floors. Its torso can tilt to adjust height, allowing it to reach items placed low or on kitchen counters. The arms and hands are built for careful handling, enabling the robot to grip common household objects rather than heavy tools. The head also functions as a mobile control unit, housing cameras, sensors, a display and voice interaction capabilities for communication and monitoring.
In practice, CLOiD acts as a task coordinator. It can retrieve items from appliances, operate ovens and washing machines and manage laundry cycles from start to finish, including folding and stacking clothes. By connecting multiple devices through the ThinQ system, the robot turns separate appliances into a single, coordinated workflow.
These capabilities are supported by LG’s Physical AI system. CLOiD uses vision to recognise objects and interpret its surroundings, language processing to understand instructions and action control to execute tasks step by step. Together, these systems allow the robot to follow routines, respond to user input and adjust task execution over time.
Doosan Robotics introduced Scan & Go at CES 2026, an AI-driven robotic system designed to automate large-scale surface repair and inspection. The solution targets environments with complex, irregular surfaces that are difficult to pre-program, such as aircraft structures, wind turbine blades and large industrial installations.
Scan & Go operates by scanning surfaces on site and building an understanding of their shape in real time. Instead of relying on detailed digital models or manual coding, the system plans its movements based on live data. This enables it to adapt to variations in size, curvature and surface condition without extensive setup.
The underlying technology combines 3D sensing with AI-based motion planning. The system interprets surface data, generates tool paths and refines its actions as work progresses. In practical terms, this reduces manual intervention while maintaining consistency across large work areas.
By handling surface preparation and inspection tasks that are time-consuming and physically demanding, Scan & Go is positioned as a support tool for industrial teams operating at scale.
Taken together, these robots signal a clear shift in how machines are being designed and deployed. Across factories, homes, emergency sites and industrial infrastructure, robotics is moving beyond demonstrations and into practical roles that support human work.
The unifying theme is not replacement, but relief—robots taking on tasks that are repetitive, hazardous or physically demanding. CES 2026 suggests that robotics is evolving from spectacle to utility, with a growing focus on systems that adapt to real environments, respond to genuine constraints and integrate into everyday workflows.