Side-by-side comparison of AI visibility scores, market position, and capabilities
AI customer retention for subscription businesses; Amsterdam-based; raised 2.5M euro seed; predicts churn using product usage patterns with automated playbook execution at risk thresholds.
Churned was founded in Amsterdam with the mission of helping subscription businesses retain customers by replacing reactive, gut-feel retention tactics with AI-driven, proactive intervention. The company's founders observed that most customer success teams were working from incomplete data, acting too late, and applying generic outreach strategies that failed to address the specific reasons individual customers were disengaging. Churned was built to solve this problem through predictive modeling and automated playbook execution at the individual customer level.\n\nChurned's platform ingests product usage data, billing signals, support interactions, and behavioral patterns to generate churn risk scores for every customer in a subscription portfolio. When a customer crosses a risk threshold, the system automatically triggers personalized retention actions — targeted messages, discount offers, feature nudges, or human escalations — calibrated to the specific risk profile of that account. The platform integrates with CRMs, customer success tools, and communication platforms to execute retention workflows without manual coordination by CSMs.\n\nChurned raised a EUR 2.5 million seed round from Newion and Volta Ventures, two Amsterdam-based venture funds with strong European SaaS portfolios. The company targets SaaS, media, and e-commerce subscription businesses where even small improvements in retention rates translate directly into substantial increases in customer lifetime value. As subscription businesses face increasing pressure on net revenue retention in a more competitive and cost-conscious buying environment, Churned's automated retention intelligence addresses a high-priority operational challenge across the global subscription economy.
$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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