Teaching robots to do what only human hands could — assembling car engines, inspecting aerospace parts, and handling precision optics with micron-level accuracy and the adaptability of a skilled worker.
Most factory robots are powerful but dumb. An industrial robot arm can weld thousands of car frames per day with perfect repeatability — but only because every single frame arrives in exactly the same position, at exactly the same angle, every time. The moment something shifts by a few millimetres, the robot fails. It cannot adapt. It has no sense of what it is touching. It cannot see the world the way a human can.
This is why, despite decades of automation, the most precise and complex manufacturing tasks are still done by human hands. Assembling a car engine with tolerances measured in microns. Inspecting an aerospace component for defects invisible to the naked eye. Inserting a fibre optic connector with sub-millimetre precision. These tasks require two capabilities that industrial robots have historically lacked: high accuracy (knowing exactly where something is in three-dimensional space) and high agility (being able to adapt in real time when conditions change).
Eureka Robotics has built what it calls HA-HA technology — High Accuracy, High Agility — that closes this gap. Their Eureka Controller combines computer vision, motion planning, and force control to give robots human-like perception and adaptability. Their Eureka 3D Camera uses AI-based, projector-free 3D reconstruction to let robots see objects in three dimensions the way a skilled technician would — identifying exact positions and orientations without needing everything to be pre-positioned perfectly.
The result is a robot that can pick up an engine component from a bin where parts are jumbled at random angles, identify exactly where it is, and insert it with micron-level precision. This was not possible before HA-HA. It is now running in Toyota, Denso, and Bridgestone factories.
Why now: Three forces have converged simultaneously. First, the China-Plus-One manufacturing shift is bringing enormous volumes of new factory investment into SE Asia, creating fresh demand for automation from factories that are being built from scratch. Second, AI advances in computer vision and motion planning have finally matured enough to enable real-time robotic perception at commercial scale. Third, rising labour costs across SE Asia — Singapore's manufacturing wages rose 4.8% in 2025 — are making automation economically compelling even for tasks that were previously too complex to automate.
The global industrial robotics market is enormous and growing. Asia accounts for 74% of all new industrial robot deployments globally. The SE Asia industrial and service robot market alone was valued at $1.29 billion in 2026 and is projected to reach $1.83 billion by 2031. But these numbers understate Eureka's actual addressable market, because Eureka is not targeting the commodity end of industrial robotics — it is targeting the precision segment, which is far larger and far less penetrated.
The China-Plus-One dynamic is the most important structural tailwind. As global manufacturers diversify supply chains away from China, they are investing billions in new factories across Vietnam, Malaysia, Thailand, and Indonesia. These factories need automation from day one — and many of them are building electronics and automotive components that require exactly the precision capabilities Eureka provides.
Government acceleration: SE Asian governments are actively subsidising automation adoption. Singapore's Productivity Solutions Grant covers up to 70% of qualified automation costs. Malaysia's Smart Manufacturing 4.0 Intervention Fund and Thailand's eight-year tax holidays collectively backed more than 3,000 new robot cells in 2025 alone. This dramatically compresses customer payback periods from 36 months to 18 months — removing the single biggest barrier to enterprise adoption.
Eureka's technology also addresses markets well beyond SE Asia. Their existing customer base is already global — Toyota and Denso in Japan, Pratt & Whitney and Coherent in the US. The Series A explicitly targets US market entry. The total addressable market for HA-HA precision manufacturing automation is genuinely global and measured in the tens of billions.
Eureka operates a hardware-plus-software model common in industrial robotics: they sell or deploy robotic systems (hardware) alongside their proprietary Eureka Controller software, and generate recurring revenue from software licences, maintenance, and support contracts.
| Revenue Stream | Model | Margin Profile |
|---|---|---|
| System sales | One-time sale of configured robotic systems including controller software, 3D camera, and integration services | Moderate (hardware-constrained) |
| Software licensing | Annual licence fees for Eureka Controller deployed on customer systems | High (pure software) |
| Maintenance and support | Annual contracts for system maintenance, upgrades, and technical support | High recurring |
| System integration services | Professional services for deploying and customising systems to specific manufacturing workflows | Moderate (labour-intensive) |
The key unit economics insight: Eureka's technology is not a one-time deployment — it creates deep customer lock-in. Once a Toyota factory has integrated Eureka Controller into its engine assembly line, the switching cost of removing it is enormous. The controller manages calibration data, vision models, and motion plans that have been fine-tuned over months of operation. Every additional operation the system performs makes it more accurate and harder to replace. This is the data flywheel that gives industrial AI platforms their durability.
The 25 million HA-HA operations completed to date is not just a marketing number — it represents 25 million data points that have been used to improve Eureka's vision and motion models. Competitors starting from zero would need years to accumulate equivalent operational data from equivalent precision environments. This compounds Eureka's technical advantage over time.
Path to scale: Eureka is currently at Series A — early commercial stage with validated technology and paying enterprise customers. The path to significant revenue runs through three levers: expanding within existing customers (more lines, more factories), entering the US market (higher price points, larger budgets), and developing distribution partnerships in Japan (Maruka Corporation) to sell at scale without proportional headcount growth.
For a seven-year-old Series A company, Eureka's customer list is exceptional. These are not pilot programmes with small manufacturers — they are production deployments in the core manufacturing operations of some of the world's most demanding industrial companies.
Customer quality is the standout signal. Toyota and Denso are among the most demanding manufacturing customers in the world. Toyota's production system is the global benchmark for quality and efficiency — if Eureka's technology is deployed in Toyota factories, it has passed the most rigorous real-world validation possible. Pratt & Whitney, which manufactures jet engines to aerospace tolerances, and Bridgestone, the world's largest tyre manufacturer, complete a customer list that validates Eureka's HA-HA technology across multiple precision manufacturing verticals.
The Japan market traction is particularly significant. Eureka established a Tokyo office using its Pre-Series A funding and has already expanded to Nagoya and Osaka with the Series A. Japan is the world's most advanced industrial robotics market — winning there against Japanese competitors requires genuine technical superiority, not just pricing or sales tactics.
Media recognition: Featured in The New York Times, The Guardian, The Economist, and CNN — an unusual level of mainstream media attention for an industrial robotics startup, suggesting the HA-HA story resonates beyond the engineering community.
Dr. Pham Quang Cuong (Co-founder and CEO) holds a PhD in robotics and has deep research experience across NTU Singapore, MIT, and the University of Tokyo — three of the world's leading robotics research institutions. His academic background is not incidental background — the HA-HA technology that defines Eureka's competitive position is a direct commercialisation of research developed across these institutions. He has spent his career solving exactly the precision manipulation problems that Eureka's customers need solved.
Dr. Hung Pham (Co-founder) brings complementary deep technical expertise in robot motion planning and control — the algorithms that allow Eureka's robots to adapt in real time to changing conditions. The two co-founders have known and worked with each other for years across multiple research institutions before founding Eureka, which is a strong predictor of founding team durability.
The investor base reinforces the team's credibility. UTEC — one of Asia's largest deep-tech investment firms — led the Pre-Series A. B Capital — a global multi-stage firm with deep manufacturing expertise — led the Series A. Airbus Ventures investing is particularly notable: Airbus manufactures aircraft to tolerances that make ordinary precision manufacturing look crude, and their participation signals genuine technical validation from the most demanding precision manufacturing environment on earth.
Eureka competes in the precision industrial robotics space against large incumbents, specialist startups, and the in-house robotics teams of major manufacturers. The competitive dynamic is less about price and more about technical capability — customers do not deploy Eureka because it is cheap, they deploy it because their tasks were previously impossible to automate.
Eureka's defensible moat: The 25 million HA-HA operations completed in production environments represent a training dataset that no competitor can replicate quickly. Every Toyota engine assembly operation teaches Eureka's models something about how engine components vary in real-world conditions. Every aerospace inspection teaches the vision system something about defect patterns. This operational data is proprietary, valuable, and accumulates faster as the customer base grows. It is the type of flywheel that compounds into an increasingly durable competitive advantage.
Singapore is the ideal headquarters for a precision manufacturing automation company targeting SE Asia. It has the region's most sophisticated deep tech ecosystem, access to NTU and NUS engineering talent pipelines, a government that actively subsidises automation adoption through the Productivity Solutions Grant, and proximity to the fast-growing manufacturing markets of Vietnam, Malaysia, Thailand, and Indonesia.
The China-Plus-One tailwind: More than $13 billion in electronics manufacturing FDI flowed into Vietnam and Malaysia in 2024 and 2025, driven by companies diversifying supply chains away from China. These new factories — building smartphones, camera modules, and AI chips — require exactly the precision assembly automation that Eureka provides. Vietnam's government has set a target of 10,000 automated factory cells by 2030. Eureka already has a Vietnam office, positioning it ahead of competitors as this buildout accelerates.
Funding ecosystem: SE Asia's deep tech venture ecosystem is maturing. UTEC, one of Asia's largest deep-tech investors, led Eureka's Pre-Series A. B Capital — which has backed companies like Flatiron Health and Snapdeal — bringing its global multi-stage capability to Singapore signals that the city-state is now attracting growth-stage capital, not just early-stage bets.
Exit landscape: The most likely exit paths for Eureka are acquisition by a major industrial automation company (FANUC, ABB, Siemens, Bosch) seeking to add AI precision capabilities, or an IPO in Singapore or the US once the business reaches sufficient scale. The Airbus Ventures investment creates a potential strategic acquisition pathway from one of the world's largest precision manufacturers.
Talent advantage: NTU Singapore's robotics and AI research programmes are among the best in Asia. Eureka's founding team connections to NTU, MIT, and the University of Tokyo create a talent pipeline that is genuinely difficult for competitors without equivalent academic relationships to access. Singapore's position as a regional talent hub means the team can recruit across SE Asia, India, and beyond.
| Round | Year | Lead Investor | Key Participants | Amount |
|---|---|---|---|---|
| Pre-Series A | 2022 | UTEC | Touchstone Partners, ATEQ | $4.3M |
| Series A | Dec 2024 | B Capital | Airbus Ventures, Maruka Corp, GK Goh Ventures, UTEC, ATEQ | $10.5M |
| Total | $14.8M |
Investor signal analysis: Three investors stand out. B Capital is a global multi-stage firm that has backed companies from Series A to IPO — their participation signals they see Eureka as a company they want to support through multiple rounds, not just a one-off early-stage bet. Airbus Ventures is the investment arm of a company that manufactures to aerospace tolerances — their technical due diligence would be exceptionally rigorous, making their participation a strong validation signal. ATEQ, a manufacturing company specialised in leak testing, is a strategic investor who understands precision manufacturing and has validated Eureka's technology from an operational perspective.
Maruka Corporation partnership: Maruka is a publicly-listed Japanese trading company specialised in machinery. Their participation is not just financial — it represents a distribution channel into Japan's industrial manufacturing sector that would take Eureka years to build independently. Japan is the world's most sophisticated robotics market and Eureka already has strong traction there. Maruka accelerates that significantly.
Capital efficiency: Completing 25 million real-world precision manufacturing operations and winning Toyota, Denso, and Pratt & Whitney as customers on $14.8M total raised is an impressive demonstration of capital efficiency. Most hardware-plus-software robotics companies would have raised three to five times this amount to reach equivalent commercial milestones.
This memo is for informational purposes only. Not financial advice. Memobird Research does not hold positions in the securities discussed. All data sourced from public company announcements, press releases, investor communications, and primary research as of April 2026. Financial metrics are estimated from available public information and have not been independently verified.