机器人AI研究公司Enigma完成7100万美元种子轮融资，由Index Ventures和Ribbit Capital领投，Conviction Partners合伙人Sarah Guo也参与其中[1]。这家成立不到一年的初创企业采取了有别于业界的发展路线，将重点放在优化人类与机器人的交互方式上，而非单纯追求提升AI模型能力[1]。
公司计划通过大规模在线实验来实现这一目标，将邀请全球用户与超过100个专有AI机器人进行互动[1]。这些机器人分布在以色列和加州的多个仓库中[1]。联合创始人Jonathan Jacobi（曾为微软最年轻员工）指出，当前AI模型面临的关键瓶颈在于易用性[1]。他以洗碗为例说明问题的迫切性："如果你必须花15分钟向机器人解释每样餐具该放在哪里，最后每个人都会想'算了，我还是自己做吧'[1]。"通过收集用户互动数据，Enigma希望能改进人机交互方式并优化基础AI模型[1]。该公司目前聚焦医疗、物流和娱乐等领域[1]。
Enigma, an artificial intelligence robotics company, has secured $71 million in seed funding led by Index Ventures and Ribbit Capital, with participation from Sarah Guo of Conviction Partners [1]. The nearly year-old startup is taking a distinctive approach to robotics by prioritizing human-robot interaction design rather than solely advancing model capabilities, aiming to create intuitive control interfaces [1].
Co-founder Jonathan Jacobi, formerly Microsoft's youngest employee, emphasized the current friction in robot operation, stating that "if you had to do your dishes and spent 15 minutes explaining to a robot where to put everything, everyone reaches the point of 'Forget it, I'll just do it myself'" [1]. To address this challenge, Enigma plans to launch large-scale online experiments enabling global users to interact with more than 100 proprietary AI robots deployed across multiple warehouses in Israel and California [1]. This real-world data collection will inform improvements to both the human-robot interaction methodology and the underlying AI models [1]. The company is initially focusing on applications in healthcare, logistics, and entertainment sectors [1].