本文来自微信公众号：投资界 （ID：pedaily2012），作者：吴琼，题图来自：视觉中国 这是一个投资人不愿看到的骗局。 故事主角是一家知名AI创业公司11x.ai（简称11x）。早在2022年，年仅24岁的Hasan Sukkar创办11x，凭 借着推出AI员工声名鹊起，迅速获得a16z、Benchmark等知名风投超5亿元的融资。 然而，造假风波上演。知名科技媒体TechCrunch爆料，"11x一直在宣传它所没有的客户"。简单说，11x 通过宣传虚假客户、创新ARR计算方式等途径，营造业务繁荣的假象。实际上，不少试用客户反馈产 品不尽人意，短暂试用后选择终止合同。 AI热潮下，11x进展迅速。很快公司推出名为Alice的AI员工，名声大噪。11x宣称，Alice是"全球首位数 字工作者"，聚焦在销售领域。相比于传统的自动化工具，Alice可以自主运行，管理从识别潜在客户到 安排会议的整个外呼销售流程，无需人工干预。 理论上，这将是人类员工无法竞争的对手。毕竟Alice采集了数万亿字节的数据和超过5亿条线索，从而 在线索中整理出最具价值的潜在客户名单。"她"无所不知、学习速度快，更关键的是能做到永不停 ...

敲 响 警 钟 。 这 是 一 个 投 资 人 不 愿 看 到 的 骗 局 。 然而，造假风波上演。知名科技媒体Te c hCr u nc h 爆料 ，" 11 x一直在宣传它所没有的客 户 " 。 简 单 说 ， 11x 通 过 宣 传 虚 假 客 户 、 创 新 ARR 计 算 方 式 等 途 径 ， 营 造 业 务 繁 荣 的 假 象。实际上，不少试用客户反馈产品不尽人意，短暂试用后选择终止合同。 事 情 仍 在 调 查 中 。 消 息 称 ， 11x 的 B 轮 领 投 方 a 1 6z 可 能 正 在 考 虑 采 取 法 律 行 动 。 如 此 一 幕，算是给当下AI创业潮敲响警钟。 90后，打造AI员工 融资5个亿 这要从一位90后创始人说起。 哈桑·苏卡尔(Ha s a n Su k ka r)，根据公开信息可以大致梳理他的成长轨迹：天赋异禀，1 4 岁就创建了一个线上交易平台。20 15年，17岁的苏卡尔因叙利亚难民危机移民到英国， 之后进入埃克塞特大学学习工程学。他曾在麦肯锡当过两年顾问，这段经历为日后创业埋 下伏笔。 在苏卡尔看来，数字化员工将成为全球企业日常工作中不可或缺的一部分。于是在 ...

[Music] Okay, thanks everyone for coming today. Uh, so today's talk is called Building Alice's Brain. How we built an AI sales rep that learns like a human.Uh, my name is Sherwood. I am one of the tech leads here at 11X. I lead engineering for our Alice product and I'm joined by my colleague Saw.So 11X for those of you who are unfamiliar is a company that's building digital workers for the go to market organization. We have two digital workers today. We have Alice who is our AI SDR and then we also have Jul ...

Company Overview - 11X is building digital workers, including Alice, an AI SDR, and Julian, an AI voice agent [1] - The company relocated from London to San Francisco and rebuilt its core product, Alice, from the ground up [2] Alice Rebuild & Vision - The rebuild of Alice was driven by the belief that agents are the future [3] - The new vision for Alice centers on seven agentic capabilities, including chat-based interaction, knowledge base training via document uploads, AI-driven lead sourcing, deep lead research, personalized emails, automatic handling of inbound messages, and self-learning [11][12][13] Development Process & Tech Stack - The rebuild of Alice 2 took only 3 months from the first commit to migrating the last business customer [3][14] - The company chose a vanilla tech stack and leveraged vendors like Langchain to move quickly [15][16][17] - Langchain was chosen as a key partner due to its AI dev tools, agent framework, cloud hosting, observability, Typescript support, and customer support [18][19] Agent Architecture Evolution - The company experimented with three different architectures for campaign creation: React, workflow, and multi-agent systems [21] - The final architecture was a multi-agent system with a supervisor and specialized sub-agents for research, positioning, LinkedIn messaging, and email writing [44][45][46] Results & Future Plans - Alice 2 went live in January and has sourced close to 2 million leads and sent close to 3 million messages [52] - Alice 2 has generated about 21,000 replies, with a reply rate of around 2%, on par with a human SDR [52] - Future plans include integrating Alice and Julian, implementing self-learning, and exploring new technologies like computer use, memory, and reinforcement learning [53][54]