Li Zexiang-Backed Startup Builds AI Robot That Directs Film Shoots

By Amara Osei

A startup backed by robotics professor Li Zexiang and Vision Capital is developing an AI-powered robot that directs photography, according to a report by tech news outlet 36 Kr. The project sits at an early stage, the report says, and joins a growing field of ventures trying to automate work behind the camera.

The company's core product is a robot designed to handle directing functions during a shoot. Backing from Li Zexiang gives the venture a heavyweight technical pedigree. Li, a professor at the Hong Kong University of Science and Technology, has seeded a long roster of successful hardware and robotics companies through his investment and incubation network. His support signals that the founding team cleared a serious technical bar before raising money.

Vision Capital's participation rounds out the round. The firm's involvement, alongside Li's, marks the startup as a bet on automation reaching into creative production — not just factories and warehouses.

What does the robot actually do?

According to 36 Kr, the device combines AI decision-making with camera-handling hardware. The goal: a machine that can direct and execute photography work, rather than simply move a camera on rails.

That distinction matters. Camera robots already exist on professional sets, where operators program repetitive moves for commercials and film. The differentiator here, per the report, is the AI layer — software that makes directing decisions about framing, timing and shot selection.

The report classifies the venture as an early-stage innovative project. That label carries weight in 36 Kr's coverage system, which tracks startups from pre-seed through growth. Early-stage placement means the technology is still in development and the company hasn't yet scaled production or landed marquee commercial contracts.

Why does Li Zexiang's backing matter?

Li Zexiang has built one of the most consistent track records in Chinese hardware entrepreneurship. Companies from his ecosystem have gone public or reached unicorn valuations, and his name attached to a robotics startup draws immediate attention from later-stage investors.

For an early-stage team building physical products, that endorsement does three things at once:

• It validates the core technical approach in a field where demos are easy and reliable hardware is hard.
• It opens doors to Li's manufacturing and supply-chain network in the Greater Bay Area.
• It signals follow-on funding is likely if the team hits development milestones.

Vision Capital's co-backing adds a second institutional check on the opportunity. The combined investor group suggests the round was competitive rather than a rescue.

Who buys an AI directing robot?

The customer profile for this technology spans several segments. Film and commercial production houses face rising labor costs and tight schedules. E-commerce platforms shoot enormous volumes of product video and photography, and they've already adopted automation aggressively. Livestream commerce, a massive market in China, runs camera crews around the clock.

An AI directing robot targets the most expensive variable in all of those settings: skilled human labor operating cameras and calling shots. If the machine can match a human director's output on routine work, the economics favor adoption fast.

The report doesn't specify pricing, launch dates or target customers, which fits the project's early stage.

What comes next?

The startup now faces the standard hardware gauntlet: turning a working prototype into a product that survives daily use on real sets. Li Zexiang's track record suggests the team has the engineering depth to attempt it. The open question is whether AI-directed photography performs well enough, soon enough, to convert production crews from skeptics into customers.