Factorial Expands One to Connect HR, Finance, and IT

The Barcelona-based HR software publisher is accelerating its transformation into an enterprise platform powered by an AI agent. Fundraising, acquisitions, and integrations are set to support this shift, which aims to facilitate collaboration among the tools used by HR, finance, and IT teams, without replacing specialists.

$150M Raised, Acquisitions and Integrations to Support the Shift

In June 2026, Factorial announced a $150 million fundraising round, bringing its valuation to $2.5 billion. This operation is intended to accompany the company's repositioning. The firm plans to maintain its HR foundation while expanding its capabilities through acquisitions. Empion is expected to enhance talent assessment using AI, while YepCode is already contributing to integrations and automations between software. Factorial states that One connects to existing tools at its clients, such as HubSpot or professional messaging platforms. According to its commercial director for France, the ambition is to develop an enterprise AI that addresses cross-functional needs while retaining expertise by profession.

Demand from Leaders for Fewer Tools and Accessible Data

A survey conducted with Dynata questioned 3,760 leaders and decision-makers across five European countries. According to the Factorial Business Facts Index 2026, 79.7% of French leaders believe their organization would operate better with fewer, more centralized tools. Furthermore, 45.1% report spending between 20% and 30% of their time searching for, verifying, or reconstructing already available information. Factorial also relies on direct feedback from its clients to guide its repositioning. Antoine Barat reports that clients complain about time lost due to the proliferation of tools and recurring administrative tasks.

What One Already Does and What Remains to be Developed

According to its presentation, Factorial One can perform information searches, analyze data, and generate reports without users having to leave their usual application. The agent also has the capability to redirect IT queries to the appropriate personnel and propose a response that must then be validated. Document production and information analysis are already part of its uses, while the automation of processes involving multiple functions remains a development focus. Among the envisioned use cases are generating reports based on up-to-date data, sorting applications, scheduling interviews, processing expense reports, and answering questions about internal procedures. For Antoine Barat, AI acts as support—preparation, analysis, recommendations, targeted automations—and the necessary decisions or validations remain the responsibility of the teams.

Cross-Functional Platform Yes, Replacement of Specialists No

Factorial does not aim to supplant specialized software, which is deemed relevant for complex or specific needs. The company emphasizes the value of a holistic approach when multiple functions collaborate on a common process, such as onboarding a new employee: administrative formalities from HR, payroll elements for finance, and equipment and access managed by IT. Factorial aims to facilitate these sequences with One. Antoine Barat articulates the goal of an AI that makes tools work together for the benefit of teams, rather than continually adding more software.

From an HR Publisher to a Platform Connecting HR, Finance, and IT

Founded in Barcelona in 2016, Factorial initially focused on human resources management software. In response to the fragmentation of tools within companies, the firm now aims for a platform that connects multiple functions. It claims nearly 17,000 clients, including 1,400 in France, and indicates it now connects HR, finance, and IT. The shift towards AI is supported by advancements in technological capabilities: beyond data storage and the automation of predefined tasks, AI interprets natural language queries and aggregates multiple sources. Factorial seeks to leverage these strengths with One, taking into account the specific context of each organization, where a generalist AI lacks this internal knowledge by default.