Dream-1 Revolutionizes Robotics with API-Powered AI Brain; Raises Funds for Global Expansion
October 19, 2026
Dream-1, the flagship model, uses video-based learning to perform everyday tasks across compatible robot platforms and is designed to transfer capabilities across different hardware, with plans to support wheeled mobile robots and dexterous robot hands.
The Dream API turns natural language instructions into motor commands for robots, enabling real-time closed-loop control and zero-shot adaptability to unseen robots, with more than 20 hardware partners on board.
Most of the newly raised funding will be directed toward computing infrastructure to broaden task capability, support more robotic platforms, and grow the developer base.
Industry outlook notes potential disruption to the robotics supply chain, with pressure on vertically integrated hardware-software stacks and a push toward edge or low-latency inference to meet real-time requirements.
Risks highlighted include safety liability, the challenge of proving cross-hardware generalization in messy real-world environments, and competitive pressure from incumbents with extensive deployment data and resources.
Key quotes from CEO Joel Jang, Daisy Cai of B Capital, and Ryan Chan of MakerMods emphasize rapid robot adoption, the need for intelligent control, and the value of an accessible API-driven brain for robots.
Base Ventures was the only Korean-affiliated firm to participate in the funding round.
No independent benchmarks were available at publication; performance claims are company-reported and warrant external verification.
The core value proposition is a horizontal AI brain for robots, potentially lowering entry barriers for smaller hardware makers and shifting competition toward actuator and sensor quality and cost rather than in-house robotics AI teams.
Executives from B Capital and Base Ventures stressed the potential to democratize high-performance robot intelligence and to grow the company through partnerships and talent recruitment.
The broader AI hardware context highlights a shift from purely software to hardware-software-integrated robotics, with compute costs and latency as central considerations for Dream Labs and similar ventures.
Daisy Cai, a general partner at B Capital, noted that decreasing hardware costs create opportunities for software platforms that simplify robot deployment and operation.
Summary based on 11 sources



