Callosum vs LiveKit
Side-by-side comparison of AI visibility scores, market position, and capabilities
Callosum (London) raised $10.25M for multi-vendor AI chip orchestration — unifying GPUs, TPUs, and custom silicon — founded by Cambridge neuroscientists. Feb 2026.
About
Callosum is a London-based AI infrastructure startup founded by Cambridge neuroscientists who applied their understanding of how the brain orchestrates computation across specialized regions to the problem of multi-vendor AI chip coordination. The company's name references the corpus callosum—the brain structure that connects and coordinates the two cerebral hemispheres—reflecting its technical mission: enabling different AI accelerators from different vendors to work together efficiently as a unified compute resource. Callosum addresses a real pain point for enterprises and cloud providers that now operate heterogeneous fleets of GPUs, TPUs, and custom silicon.\n\nCallosum's orchestration platform abstracts over hardware differences between AI chip vendors, allowing workloads to be scheduled and balanced across NVIDIA, AMD, Intel, and custom accelerators without manual optimization for each chip type. This is particularly valuable as enterprises seek to reduce vendor lock-in and optimize cost by mixing and matching hardware. The platform targets ML engineering teams and infrastructure operators at companies running large-scale AI training and inference workloads who need to maximize utilization across a diverse hardware estate.\n\nCallosum raised $10.25M in February 2026 in a seed or early-stage round, providing capital to build out its engineering team and deepen integrations with major chip platforms. While early in its journey, the company operates at a genuinely important intersection: as AI chip diversity grows and no single vendor dominates all workloads, the need for intelligent multi-vendor orchestration will only increase. Callosum's neuroscience-rooted technical vision and Cambridge pedigree give it a distinctive angle in the competitive AI infrastructure space.
Real-time voice and video infrastructure powering ChatGPT Voice Mode, xAI, Meta, and Spotify; raised $100M Series C at $1B valuation in Jan 2026; open-source WebRTC platform specifically engineered for low-latency AI applications.
About
LiveKit is an open-source real-time audio and video infrastructure company providing the communication backbone for AI voice and video applications at scale. Founded to make production-grade real-time communication infrastructure accessible without the prohibitive cost and complexity of building it in-house, LiveKit developed a WebRTC-based platform optimized for the specific latency, reliability, and scale requirements of AI-powered voice and video experiences.\n\nLiveKit's platform handles the real-time transport layer for voice calls, video conferencing, and multimodal AI interactions — abstracting the complexity of WebRTC, TURN servers, codec optimization, and global distribution into a developer-friendly SDK. Its infrastructure is specifically engineered for the low-latency, high-reliability requirements of AI voice agents, where even 200ms of added latency degrades the conversational experience. The company provides SDKs for every major platform and has built a reputation as the most production-ready open-source option for real-time AI communication.\n\nLiveKit powers ChatGPT's Voice Mode, xAI's voice products, Meta, and Spotify — a client roster that validates its ability to operate at extreme scale and reliability. The company raised $100M in a Series C at a $1B valuation in January 2026, bringing total funding to $183M. As conversational AI products proliferate across consumer and enterprise applications, LiveKit's position as the de facto real-time infrastructure layer for AI voice gives it a durable and expanding role in the AI application stack.
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