持续学习是智能体落地的关键瓶颈，Trajectory 用产品使用数据后训练模型，做 AI 智能体的团队值得关注其技术路线。
Trajectory 是一家研究实验室兼产品公司，宣布获得 1500 万美元融资，投资方包括 Conviction、Bessemer Venture Partners 等。该公司正在构建持续学习平台，能够从产品使用数据中提取信号，让企业持续后训练大规模智能体模型，使其性能超越前沿模型。Trajectory 已与 Clay、Harvey、Decagon 等 AI 原生公司合作，部分已进入生产阶段。团队汇聚了来自 DeepMind、OpenAI、Apple、Meta 等机构的顶尖研究人员。
Congrats @rronak_ and team! Insane cap table, set of design partners, and team.
Congrats @rronak_ and team! Insane cap table, set of design partners, and team. Ronak Malde @rronak_ Today, @MichaelElabd , @QuantumArjun , and I are excited to announce Trajectory. We are a research lab and product company building the platform for Continual Learning. Our platform unlocks the signal already sitting in product usage, so companies can continuously post-train large-scale agentic models that outperform the frontier. @trajectorylabs We’ve raised $15M from @Conviction , @BessemerVP , @radicalvcfund , @jeffdean , @drfeifei and more. We’re partnering with some of the best AI-native companies: @ClayRunHQ @Harvey , @DecagonAI , @mercor_ai , @RogoAI to power their agentic systems, some of which we are already in production with. We’ve brought together a world class research team from DeepMind, OpenAI, Apple, Meta Superintelligence, Amazon AGI, Scale AI, and an elite product team from Stripe and Figma. AI will never again start on day one. Every correction, every retry, every edit will make products smarter. This is Continual Learning. Your browser does not support the video tag. 🔗 View on Twitter 🔗 View Quoted Tweet 💬 0 🔄 0 ❤️ 2 👀 1832 📊 1 ⚡