Pronto 创始人创立 Provision Labs，进军物理 AI 数据基础设施
Pronto Founder Enters Physical AI Space With Provision Labs
印度家政服务公司 Pronto 创始人兼 CEO Anjali Sardana 在旧金山创立 Provision Labs，专注为执行物理任务的 AI 系统提供数据基础设施，她将继续兼任 Pronto 负责人。Provision Labs 的投资方包括 Lachy Groom、General Catalyst、Bain Capital Ventures 和 Glade Brook Capital，但融资额、估值和首批客户均未披露。Provision Labs 计划采集数据以训练和测试机器人等实体设备在真实环境中执行任务的 AI 系统，其与 Pronto 用可穿戴摄像头录制家政服务过程、可匿名化用于机器人 AI 训练的 Pronto Verified 项目之间是否存在数据共享，双方均未公开确认。
正文
Anjali Sardana, founder and chief executive of Indian household services startup Pronto, has launched Provision Labs, a San Francisco-based venture focused on data infrastructure for artificial intelligence (AI) systems that perform physical tasks.
Sardana will continue to lead Pronto while also serving at Provision Labs.
Provision Labs lists Lachy Groom, General Catalyst, Bain Capital Ventures and Glade Brook Capital among its backers, according to its website. The company has not disclosed its funding amount, valuation or initial customers.
The launch comes as Pronto develops a separate initiative to record household service sessions for AI training. It remains unclear whether Provision Labs will use that data or establish its own collection arrangements.
According to The Economic Times, Provision Labs will collect data to train and test AI systems that use robots and other machines to perform tasks in real-world environments. The report, which cited people familiar with the venture, said the startup will work with developers building models for robotics and other applications.
Pronto has introduced Pronto Verified, an opt-in programme that records household service sessions using wearable cameras. The company said it can anonymise the recordings and use them to train AI systems for robotics.
Provision Labs' stated focus on physical AI data makes the relationship between the two businesses a key unanswered question. Neither company has publicly confirmed that Provision Labs will access Pronto's recordings or that a data-sharing agreement exists.
The startup has not announced any commercial partnerships or explained how it will source data across industries. Its website describes its focus as the data, evaluation and deployment layer for physical AI.