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.
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.
$500M Series D at $11B valuation (Feb 2026) — largest voice AI funding round ever. $330M ARR; 1M+ developers using the API. Enterprise customers: Deutsche Telekom, Revolut, Meta, Salesforce. Voices in 32 languages; real-time cloning from 1 second of audio.
ElevenLabs was founded in 2022 by Piotr Dabkowski and Mati Staniszewski, two former Google and Palantir engineers who set out to break the language barrier using AI voice technology. The company specializes in AI-powered voice synthesis, cloning, and dubbing, enabling developers and enterprises to generate human-quality speech in over 30 languages. Its core technology combines deep learning models trained on massive speech datasets to produce natural-sounding voices indistinguishable from real humans.\n\nElevenLabs offers a suite of products including its flagship text-to-speech API, voice cloning tools, and an AI dubbing platform that localizes video content while preserving the speaker's original voice. Its products target a broad audience—from indie developers building audio apps to large enterprises deploying voice interfaces at scale. Key differentiators include ultra-low latency streaming synthesis, fine-grained voice customization, and a growing library of pre-built AI voices across accents and styles.\n\nElevenLabs has grown rapidly, surpassing $330M in annualized revenue and serving over 1 million developers. Enterprise clients include Deutsche Telekom, Spotify, and leading media companies. In February 2026, the company closed a $500M Series D at an $11B valuation, cementing its position as the market leader in AI voice. Its APIs power podcasts, audiobooks, video games, and customer service bots worldwide, making ElevenLabs the default infrastructure layer for AI-generated audio.
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