估值 66 亿美元，首个 1 亿美元 ARR 耗时 20 个月，而第二个 1 亿美元 ARR 仅用 10 个月。 AI 音频独角兽 ElevenLabs 可以说是欧洲发展速度最快的 AI 创企。 随着语音模态正在成为人与技术交互的重要接口，AI 语音赛道的竞争也尤为激烈，Murf.ai、Play.ht、 WellSaid Labs......尤其是在 OpenAI、Google、微软这些科技巨头的围攻下，ElevenLabs 能够「跑」出来 十分艰难。在初期融资阶段，ElevenLabs 几乎被所有接触的投资人拒绝；在验证市场需求时，挨个给 YouTuber 发了几千封邀请邮件，得到的肯定回复寥寥无几。 ElevenLabs 是如何从一家「小公司」快速成长为 AI 语音领域独角兽的？ElevenLabs 的 CEO Mati Staniszewski 在一场播客对谈中，回顾了其创业历程以及心得经验： 超 13000 人的「AI 产品市集」社群！不错过每一款有价值的 AI 应用。 邀请从业者、开发人员和创业者，飞书扫码加群： 当技术研发到一定阶段，最终都会走向商品化，仅靠研发优势是不够的，必须要靠产品力。11 ...

Core Viewpoint - There is increasing investor interest in AI voice agent startups, particularly in sectors like property management and healthcare, with EliseAI being a notable example that has recently raised $200 million at a pre-money valuation of $2 billion, doubling its valuation from the previous year [3]. Group 1: Company Overview - EliseAI develops AI solutions for property management and healthcare, including voice assistants that handle calls from residents and patients [2]. - The company has secured $83 million in annual recurring revenue (ARR) by the end of 2024, with a goal to double this to approximately $160 million by the end of the year [4]. Group 2: Market Potential - Both property management and healthcare industries face similar challenges, such as repetitive inquiries and high call volumes, making them suitable for AI-driven automation [5]. - The enthusiasm for new AI technologies in these sectors is high, indicating a strong market potential for EliseAI's offerings [3]. Group 3: Competitive Landscape - There are concerns among investors regarding the competitive barriers for vertical AI voice startups, as competitors can easily pivot to target similar industries [6][7]. - Companies like Entrata and Hippocratic AI are already focusing on property management and healthcare, raising questions about the sustainability of EliseAI's data advantages [7].

Core Insights - Hyper, an emergency response startup, raised $6.3 million in seed funding led by Eniac Ventures, marking the end of its stealth mode [1][2] - The company aims to utilize AI to filter non-emergency calls from 911, thereby preserving critical resources for genuine emergencies [1][3] Funding and Growth Plans - The funding round was completed in under two months, with oversubscription and additional investments from Ripple Ventures, GreatPoint Ventures, VSC Ventures, Tusk Venture Partners, and K5 Global [2] - Hyper plans to use the new funds for nationwide expansion, integration with existing 911 systems, hiring engineering leads, and developing next-generation products [3] Competitive Landscape - Hyper faces competition from companies like Aurelian, which also handle non-emergency calls, but differentiates itself by focusing specifically on the 911 system [3] - The company collaborates with local agencies to train AI models based on real 911 calls and supports multiple languages, achieving significant operational breakthroughs in public safety [3] Industry Challenges - The 911 call centers are currently experiencing staffing shortages and recruitment challenges, which Hyper aims to alleviate by automating non-emergency call handling [4] - The technology developed by Hyper is intended to support dispatchers and call-takers, ultimately helping to save lives by reducing their workload [4]