Procore Technologies Acquires Datagrid AI
Datagrid AI acquired by Procore Technologies
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Datagrid AI
Undisclosed Amount
January 21, 2026

Procore Technologies
Procore Technologies has acquired Datagrid AI for an undisclosed amount.
Datagrid AI is known for its advanced AI Agent technology designed to automate entire workflows and execute tasks across various digital platforms and systems.
This acquisition marks a strategic move for Procore Technologies to integrate sophisticated AI-driven automation into its offerings.
Datagrid AI functions as an AI Agent that takes action rather than merely answering questions.
Its agents automate workflows across a wide array of tools, files, and systems, performing tasks such as searching documents for answers, cross-referencing data to identify gaps, and running financial analyses that update spreadsheets.
The technology connects to over 100 platforms and 2,000+ APIs, including Excel, Google Docs, SharePoint, Slack, PDFs, and websites.
It handles multi-modal problems, processing unstructured data like images and documents alongside entire databases, and communicates through channels such as Teams, Slack, or SMS.
Datagrid is built for trust and precision, with agents citing sources and operating safely, offering enterprise teams full control through teamspaces, RBAC, and usage reports.
The acquisition is strategic for Procore Technologies, aiming to leverage Datagrid AI's capabilities to enhance efficiency and automation within its ecosystem.
By integrating Datagrid's ability to execute complex tasks, from research to reporting and data analysis, Procore can empower its users with advanced tools that streamline operations and reduce manual effort.
This synergy is expected to provide Procore's customers with significant time savings and a substantial increase in output by automating routine and intricate processes.
Looking forward, the combined entity is poised to deliver a more robust and intelligent platform.
This integration is anticipated to enable users to achieve deeper levels of automation, improve data utilization, and make more informed decisions, ultimately driving greater productivity and operational excellence through AI-driven workflow execution.
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