Google Beam vs Kodosumi: Which Artificial Intelligence tool is Best in 2025?

Google Beam, formerly known as Project Starline, is an AI-powered 3D video communication platform developed by Google, designed to revolutionize remote collaboration for enterprises. Announced at Google I/O 2025, Beam transforms standard 2D video streams into immersive, lifelike 3D renderings using a six-camera array, light field display, and advanced AI volumetric video models. This technology enables natural eye contact, gesture recognition, and non-verbal cues, mimicking in-person interactions without requiring headsets. Integrated with Google Meet and Zoom, Beam offers real-time speech translation, preserving voice tone and expressions.

Kodosumi is an open-source, distributed runtime environment designed to manage and execute AI agent services at an enterprise scale. Built on Ray, a powerful distributed computing framework, it simplifies the deployment, scaling, and monitoring of agentic workflows using Python, FastAPI, and Litestar. Kodosumi addresses key challenges like running long-lasting agents, handling burst traffic, debugging complex workflows, and integrating open-source tools without vendor lock-in. It offers a framework-agnostic platform, minimal configuration via a single YAML file, and real-time observability through Ray’s dashboard. Ideal for developers building scalable AI agents, Kodosumi supports seamless integration with any LLMs, vector stores, or AI frameworks, making it a flexible solution for enterprise-grade AI applications.