Insitro vs ElevenLabs
Side-by-side comparison of AI visibility scores, market position, and capabilities
Drug discovery company founded by Daphne Koller integrating ML with high-throughput biology; raised $400M+ to build proprietary biological datasets for predicting drug targets and clinical outcomes in neurology, metabolic, and oncology programs.
About
Insitro is a drug discovery company founded in 2018 by Daphne Koller, a pioneer in machine learning and computational biology, having raised over $400M to build an integrated ML and biology platform. The company generates large-scale biological datasets using automated laboratory systems and human induced pluripotent stem cell models of disease, then trains machine learning models on this data to predict drug targets, patient stratification, and clinical outcomes. Unlike companies that apply ML to existing datasets, Insitro builds proprietary biological datasets specifically designed to train predictive models for drug discovery. The platform is being applied to neurological diseases, metabolic disorders, and oncology with the goal of identifying drug candidates more likely to succeed in clinical trials. Insitro has established partnerships with major pharmaceutical companies including Gilead Sciences and Bristol Myers Squibb to co-develop drugs using the platform. The company represents a model for how ML can be deeply integrated into pharmaceutical R&D rather than applied as a surface-level analytical layer.
$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.
About
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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