Etched vs ElevenLabs
Side-by-side comparison of AI visibility scores, market position, and capabilities
Transformer-specific ASIC startup raised $500M at $5B valuation in Jan 2026; Sohu chip claims 20x Nvidia H100 inference speed for transformer workloads; fabricated on TSMC 4nm process alongside Apple and Nvidia silicon.
About
Etched is a semiconductor startup founded in 2022 that is building application-specific integrated circuits (ASICs) optimized exclusively for transformer-based neural network inference. Unlike general-purpose GPUs that must support a broad range of workloads, Etched's Sohu chip is hardwired at the silicon level to execute the transformer architecture — the mathematical backbone of virtually every major AI model including GPT, Gemini, and Claude. By eliminating the flexibility overhead of general-purpose hardware, Etched claims inference speeds up to 20x faster than Nvidia's H100 for transformer workloads, with corresponding reductions in cost per token.\n\nThe Sohu chip is fabricated on TSMC's 4nm process node, the same cutting-edge manufacturing technology used by Apple and Nvidia for their flagship chips. Etched targets large-scale inference deployments — hyperscalers, AI cloud providers, and enterprises running high-volume language model workloads where inference cost is the dominant operational expense. The chip is designed to slot into existing data center infrastructure and provide dramatic efficiency gains for organizations serving billions of AI queries daily.\n\nEtched raised $500M at a $5B valuation in January 2026, a financing round that placed it among the most highly valued AI chip startups globally. The raise reflects investor conviction that transformer inference will remain a dominant workload for years to come and that purpose-built silicon can capture significant market share from Nvidia in this specific segment. Etched is competing in the AI chip market alongside Google's TPUs, Amazon's Trainium/Inferentia, and startups like Groq and Cerebras.
$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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