Side-by-side comparison of AI visibility scores, market position, and capabilities
Media Monitoring & Clipping Services
Burrelles (Livingston NJ, founded 1888) is one of America's oldest media monitoring companies, evolved from newspaper clipping to a modern platform covering print, online, broadcast, and social media intelligence.
Burrelles is one of the oldest media monitoring companies in the United States, founded in 1888 as a newspaper clipping service and evolved over more than a century into a modern media monitoring and intelligence business covering print, online, broadcast, and social media. Headquartered in Livingston, New Jersey, Burrelles's extraordinary longevity in the media monitoring industry reflects both its established relationships with long-tenured corporate and agency clients and its ability to adapt from physical newspaper clippings delivered by mail to digital media monitoring delivered through online platforms and APIs. The company merged with Luce, another legacy press clipping company, to form BurrellesLuce before reverting to the Burrelles name.\n\nBurrelles offers media monitoring coverage across print newspapers and magazines, online news and blogs, broadcast television and radio, and social media, providing clients with a unified monitoring service that covers traditional media alongside digital channels. Services include custom monitoring by keyword, brand, or topic; coverage compilation and reporting; media database access for PR outreach; and human editorial services for clients who need curated coverage rather than automated alerts. The company's traditional strengths in print and broadcast monitoring distinguish it in a market increasingly dominated by digital-native monitoring platforms.\n\nBurrelles serves PR agencies, corporate communications departments, law firms tracking litigation coverage, political organizations, and government entities, particularly those with needs for print and broadcast monitoring where legacy service relationships and breadth of coverage matter. The company competes with Cision, Meltwater, and Agility PR Solutions in the full-service monitoring space, as well as with newer digital-native tools for online and social monitoring, and differentiates through its service longevity, print coverage breadth, and established customer relationships.
$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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