AWS Partners with Reactor: $59M to Power Real-Time AI Video Infrastructure 2026

Developers building on AI video models face a critical gap: there is no production-ready infrastructure to run real-time world models at global scale. Reactor is launching to close that gap, with AWS as its preferred cloud backbone.

The rise of generative AI has produced increasingly capable world models — systems that can perceive, simulate, and respond to user input in real time. Yet until now, no unified platform existed to let developers deploy these models in production or build applications on top of them reliably at scale. Reactor, a San Francisco-based developer platform, has emerged from stealth to address exactly this infrastructure deficit, backed by $59 million in fresh funding and a strategic partnership with Amazon Web Services as its preferred cloud provider.

What was announced

On May 28, 2026, Reactor officially launched its developer platform for real-time generative video, announcing $59 million in funding led by Lightspeed Venture Partners, with participation from WndrCo, Amplify Partners, Sky9 Capital, FPV Ventures, and others. The company was co-founded by Alberto Taiuti (CEO) and Bryce Schmidtchen (CTO), both former technical leads on the Apple Vision Pro. Taiuti previously co-founded Luma AI, where he served as CTO and built infrastructure for one of the world's most widely used 3D and video generation platforms.

The Reactor platform delivers a unified SDK and API that enables developers to build real-time interactive applications in just a few lines of code, without managing the complexity of deploying and scaling these systems independently. Pricing is usage-based, billed by model type, and the platform is available today at reactor.inc.

AWS has been named Reactor's preferred cloud provider, responsible for powering the compute infrastructure and global distribution required to serve real-time generative video workloads at scale.

Reactor's real-time video platform demands inference infrastructure that can deliver at the speed of interaction, not just the speed of generation, and AWS is unmatched in solving for the latency, scale, and reliability that these workloads require.

Why this matters

For CIOs, IT directors, and technology procurement leaders evaluating AI infrastructure, Reactor's launch signals a meaningful inflection point in how generative AI moves from research into production. World models represent a shift from AI as a content-generation tool to AI as an interactive, real-time environment — a shift with direct implications for media, entertainment, physical AI, and robotics pipelines.

The selection of AWS as the exclusive preferred cloud infrastructure partner is strategically significant. AWS provides the purpose-built chips, flexible AI services, and global distribution reach needed to handle the low-latency, high-throughput demands of real-time generative video inference. For enterprises and developers assessing cloud strategy for AI workloads, this partnership validates AWS's infrastructure positioning for the next generation of inference-heavy applications.

World models are redefining what AI can do, moving from systems that generate content in isolation, to ones that perceive and respond in real time.

Jeffrey Katzenberg, Founding Partner at WndrCo, who joins Reactor as a board observer, framed the opportunity plainly: every major shift in media has been driven by new tools that expand what creators can do. Reactor aims to be that tooling layer for the generative AI era.

Technical details

• Unified SDK and API: Developers can build real-time interactive AI applications in a few lines of code without managing deployment complexity.
• Real-time inference infrastructure: Platform is optimized for low-latency, high-throughput generative video model serving — not batch generation.
• AWS preferred cloud partnership: AWS supplies purpose-built chips, flexible AI services, and global distribution reach for Reactor's workloads.
• Usage-based pricing: Billed by model type, enabling cost-efficient scaling for startups and enterprises alike.
• World model compatibility: Infrastructure layer designed to connect leading world model labs with developers building interactive applications.
• Active partner ecosystem: Film and television studios, robotics companies, and world model developers including Overworld are already building on the platform.
• Team depth: Engineers and researchers from Apple, Netflix, Meta, Google, Adobe, Replicate, and Microsoft with expertise in real-time graphics, interactive media, and AI infrastructure scaling.

Softprom and Amazon Web Services

Softprom is the official partner of Amazon Web Services. As organizations evaluate cloud infrastructure for AI-intensive workloads — including real-time inference, generative video, and world model deployment — Softprom provides access to AWS solutions and expert guidance on aligning cloud architecture with business and technical requirements.

This content was prepared as part of the Softprom DistriFlow project — an automated system for monitoring and adapting vendor news. Original source: original article.