- Product targets professional production teams as AI video sector shifts toward B2B workflows
- Company leans on 3D spatial data and world models to address video consistency challenges
Manycore Tech (群核科技) will officially launch the short-drama version of its AI video tool LuxReal on June 3, marking its first full rollout as the company targets professional production teams rather than general consumer users.
The Hangzhou-based firm, part of the “Hangzhou Six Dragons” cohort, said the updated version shifts focus away from standalone video generation toward workflow-based production.
Launched on December 9, 2025, LuxReal is positioned for overseas professional markets, including e-commerce content producers and short-drama studios, where willingness to pay for production infrastructure is higher than in consumer-facing applications.
The launch comes as AI video tools face weak user retention and uncertain monetization on the consumer side, pushing the industry toward enterprise workflows and B2B use cases.
Build production infrastructure
Manycore said this positioning reflects a broader strategy to build production infrastructure rather than standalone creative tools, as competition in AI-generated video intensifies.
LuxReal features an emphasis on consistency across scenes and collaborative editing for professional AI short-drama teams.
Unlike many AI video products that primarily generate clips from text prompts, LuxReal’s short-drama version is designed to support end-to-end production pipelines.
This allows users to manage continuity, editing and multi-scene coordination within a single system.
The product also integrates spatial generation models and world-model-based techniques, drawing on Manycore’s long-standing capabilities in 3D spatial computing.
The company said LuxReal is built on its structured spatial dataset, which includes about 500 million 3D scenes and 440 million 3D object models, forming one of its core data advantages in simulation-based content generation.
By combining 3D modelling with video generation algorithms, the system aims to address a key challenge in AI video production: temporal and spatial consistency, where object position, scale and geometry often break down when camera angles or scenes change.
