Funding news · Sep 18, 2026
Lumistar (晓智星辰) Raises $10M Seed for AI Sports Training Hardware
Lumistar Closes $10M Seed Round
Lumistar (晓智星辰), a China-based sports-AI startup, has raised $10 million in seed funding. The company builds intelligent training hardware designed to engage athletes in real time, combining computer vision with adaptive decision-making on a shot-by-shot basis.
What the Company Does
Lumistar develops AI-powered training machines for athletes. Its current product lineup includes:
- TERO — an AI tennis training machine
- TERO Pro — an upgraded AI tennis training machine
- CARRY — an AI quad-camera movable basketball training robot
The systems are built around real-time computer vision and adaptive, shot-by-shot decision-making. Rather than feeding predetermined drills, the hardware responds to the athlete as they train, adjusting to what the player actually does.
The company debuted its systems at CES 2026, putting its hardware in front of an international audience at an early stage.
Funding Details
- Round type: Seed
- Amount raised: $10,000,000
- Currency: USD
- Funding date: September 18, 2026
- Funding stage (company): Seed
- Investors: Monolith Management (砺思资本), Oasis Capital
No lead investor was specified in the funding data.
Team and Backing
Lumistar has roughly 100 employees. The company was incubated by Houxue Capital and is backed by Oasis Capital and Monolith. That combination of an incubator origin and named institutional investors suggests the company was built with structured support from the outset rather than emerging organically.
A 100-person team is substantial for a seed-stage hardware company. It implies Lumistar is already operating across engineering, computer vision, hardware manufacturing, and go-to-market functions — a cost structure that the new $10 million will need to sustain as the company moves toward commercialization.
The Technology Bet
Sports training hardware has traditionally been mechanical: ball machines that fire at set intervals and speeds. Lumistar's differentiation is the intelligence layer. Real-time computer vision lets the system perceive the athlete's movement and the ball, while adaptive decision-making allows each subsequent shot or rep to respond to what just happened.
That combination is what turns a ball machine into a training partner. It also creates a data asset: every session generates information about player performance that can feed back into the product experience.
Tennis and basketball are both large participation sports with established training cultures, which gives Lumistar two distinct markets to pursue with a shared technology stack.
Why the Seed Round Matters
Hardware companies face a different capital trajectory than software startups. Tooling, manufacturing, inventory, and distribution all consume cash before revenue scales. A $10 million seed round gives Lumistar room to move from debut to deployment — turning CES 2026 demonstrations into shipped units and repeat customers.
The involvement of Monolith Management and Oasis Capital, alongside incubation by Houxue Capital, provides both capital and institutional support at a stage where hardware execution risk is highest.
Acquisition Angle
Lumistar's profile is relevant to several categories of acquirers:
- Sports technology and equipment companies looking to add an AI training layer to existing product lines.
- Consumer robotics players interested in real-time computer vision applied to physical products.
- Sports leagues, academies, and training organizations seeking differentiated athlete-development tools.
- AI and computer vision platforms evaluating vertical applications with proprietary hardware.
The combination of a roughly 100-person team, a multi-product roadmap spanning tennis and basketball, and demonstrated hardware at CES 2026 makes Lumistar a candidate for strategic buyers who want to enter AI-driven sports training without building the capability internally.
The Bottom Line
Lumistar has raised $10 million in seed funding to scale its AI sports training hardware. With TERO, TERO Pro, and CARRY, a roughly 100-person team, backing from Monolith Management and Oasis Capital, and incubation by Houxue Capital, the company is positioning real-time computer vision and adaptive decision-making as the next layer of athletic training.