Side-by-side comparison of AI visibility scores, market position, and capabilities
FDA-cleared AI breast cancer detection suite by iCAD (acquired by RadNet 2025). ProFound AI reads 40M+ mammograms globally with 23% improved detection rate.
Profound AI is the medical imaging AI brand developed by iCAD, a pioneer in cancer detection technology. iCAD's ProFound AI platform applies deep learning to mammography analysis, providing radiologists with AI-powered decision support that identifies suspicious lesions, calculates cancer risk scores, and prioritizes reading worklists based on AI-assessed urgency. The system is designed to function as a second reader — augmenting rather than replacing radiologist judgment — by flagging findings that warrant closer attention and reducing the cognitive load on radiologists reviewing high volumes of routine screening mammograms.\n\nProFound AI has achieved FDA clearance as a medical device for breast cancer detection, enabling its use in clinical radiology workflows across US health systems. The platform processes mammograms in real time, integrating with existing PACS and radiology information systems so it can be deployed without disrupting established workflow. Its clinical validation studies have demonstrated a 23% improvement in cancer detection rate compared to unassisted reads, while simultaneously reducing false positives — a combination that is clinically meaningful and commercially compelling for radiology practices seeking to improve outcomes without adding radiologist time.\n\nProFound AI reads over 40 million mammograms globally, making it one of the most widely deployed FDA-cleared AI systems in radiology. iCAD was acquired by RadNet in 2025, integrating ProFound into one of the largest radiology network operators in the United States. This acquisition significantly expands ProFound's deployment footprint, as RadNet operates hundreds of imaging centers across the US and has the scale to make AI-assisted mammography a standard-of-care offering. The combination of FDA clearance, proven clinical performance, massive global deployment, and integration into a major radiology network positions ProFound AI as a market-defining product in cancer detection AI.
$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.
Monitor how your brand performs across ChatGPT, Gemini, Perplexity, Claude, and Grok daily.