Anjali Sardana Launches AI Venture Provision Labs

The new San Francisco-based company aims to provide specialized data for training and testing robotics systems.

Updated on Oct. 26, 2026 in Artificial Intelligence

A modern robotic actuator arm in a clean, brightly lit laboratory environment. — Provision Labs, a new San Francisco-based firm founded by Anjali Sardana, is launching specialized data services for robotics AI training and testing. AI Illustration. Upload story photo >

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Anjali Sardana has officially established Provision Labs, a new United States-based venture located in San Francisco. The firm focuses on collecting data to train and test artificial intelligence systems for robotics.

Why it matters

Provision Labs intends to assist developers who are building AI models for practical, real-world applications. By providing the necessary data sets, the startup seeks to streamline the development of machines capable of complex tasks.

Provision Labs specializes in the collection of data used to train and test AI systems for robotics. This focus is designed to support the underlying model development required for machines to operate in real-world environments.

The players

Anjali Sardana

She is the founder of Provision Labs and serves as the chief executive of the company, as well as holding the position of chief executive at Pronto.

Provision Labs

This is a United States-based technology venture headquartered in San Francisco that focuses on collecting data for AI and robotics development.

The details

Anjali Sardana leads the new enterprise while continuing her role as the chief executive of Pronto. The startup operates within the United States, utilizing its San Francisco headquarters to manage its robotics data collection operations.

The formation of Provision Labs was announced in October 2026.

The Tech Race

The emergence of Provision Labs represents a localized entry into the competitive landscape of the development of AI foundation models for robotics. This move follows a broader industry shift toward creating specialized, high-quality data pipelines that replace generic training sets.

While the impact of this startup is currently focused on developer tools, successful implementation could eventually lead to more capable and reliable automated machines. For local industry participants, the move signals a continued concentration of robotics data infrastructure in the city.

The takeaway

The establishment of Provision Labs underscores the rising demand for specialized data in the competitive field of robotics. Developers working in this space should keep an eye on how these new data collection pipelines may accelerate their own machine learning workflows.