Side-by-side comparison of AI visibility scores, market position, and capabilities
Clinical-stage AI company raised $365M Series D at $1.6B for world's largest multimodal oncology AI; Novo Nordisk partnership; $467M total; combines pathology imaging, genomics, and clinical records to predict treatment responses and guide precision cancer care.
Pathos AI is a clinical-stage AI company building the world's largest multimodal oncology AI platform, combining pathology imaging, genomics, clinical records, and treatment outcome data to power precision cancer care. Founded by oncologists, pathologists, and AI researchers, Pathos has assembled a dataset at a scale that gives its models a meaningful edge: by ingesting vast quantities of multimodal cancer data, its platform can predict treatment responses, identify biomarkers, and guide therapy selection with a level of accuracy that single-modality systems cannot match.\n\nThe platform serves oncologists and cancer centers by providing AI-augmented pathology reads, treatment outcome predictions, and clinical trial matching. Pathos's AI can analyze whole-slide pathology images in combination with molecular and clinical data to generate insights that inform diagnosis and treatment decisions. The company has also built partnerships with pharmaceutical companies — including Novo Nordisk and Prelude Therapeutics — to use its platform for drug development and clinical trial design, adding a biopharma revenue stream alongside its clinical business.\n\nPathos raised $365M in a Series D round at a $1.6B valuation, bringing total funding to $467M. The Series D was one of the largest oncology AI fundraises in history and included backing from top-tier life sciences investors. The Novo Nordisk and Prelude partnerships validate the platform's scientific depth and its utility across both clinical care and drug development. As of 2025–2026, Pathos is advancing toward direct clinical deployment and regulatory submissions, positioning itself as a core infrastructure layer for the future of AI-guided cancer treatment.
$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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