Salesforce

2 billion, as the company aims to expand its workforce management software into an infrastructure for an increasingly AI-powered workplace. Salesforce provided the majority of the capital, with Farallon Capital Management also participating in what is HiBob's largest funding round to date. The funding increases the company's total capital raised since its inception to more than $700 million. The valuation also represents a significant jump compared to HiBob's previous funding. 66 billion. The new valuation is thus around 20% higher, despite a challenging funding environment for many traditional SaaS companies.

HiBob has not publicly assigned a series designation to the new funding. The investment goes beyond merely providing additional capital for another enterprise software company. HiBob positions Bob as an organizational intelligence layer that can provide AI systems with information about how a company actually operates. This includes employees, skills, management structures, teams, permissions, compensation, performance, and workforce plans. As AI agents begin to perform tasks rather than just generate text, access to this type of contextual information becomes increasingly important.

While a universal AI model can understand how to conduct a performance review or create a workforce plan, it does not inherently know who manages a specific employee, what skills exist within an organization, what permissions apply, or how a company's teams are structured. HiBob's argument is that enterprise AI becomes significantly more useful when linked with this trusted organizational context. The company's investment announcement describes this data layer as infrastructure that could increasingly reside beneath AI agents and automated workflows, rather than being confined to a traditional HR application.

HiBob started as a modern alternative to outdated Human Capital Management systems, but Bob has gradually expanded beyond simple employee records. The platform now covers core HR, payroll, compensation, performance management, workforce planning, skills management, and financial planning. This expansion is particularly relevant for AI, as it creates a richer dataset from which agents can infer. HiBob's AI platform includes Bob Companion, a conversational interface that can coordinate specialized agents for various functions. These include tools for performance reviews, employee development, learning, skills, talent management, and financial analysis.

Rather than merely functioning as a standalone chatbot, the overarching goal is for AI to draw upon the underlying organizational data and permissions already maintained within Bob. A technically particularly significant component of HiBob's AI strategy is its support for the Model Context Protocol (MCP). HiBob has developed an MCP server that allows compatible AI systems to connect with workforce information and approved actions within Bob. This means an employee could ask an external AI assistant about remaining vacation days, organizational reporting lines, or other workforce information without manually searching the HR portal.

With the appropriate permissions, agents could also perform actions in the future. The approach reflects a broader shift towards what HiBob calls a "headless" model for organizational intelligence. Instead of employees having to access an HR application whenever they need workforce information, Bob's data could increasingly appear in AI assistants, collaboration systems, and automated workflows. The growing integration between HiBob and Salesforce-operated Slack offers an obvious distribution channel for this strategy. HiBob CEO and co-founder Ronni Zehavi sees the opportunity as something that goes beyond automating HR administration.

As AI agents enter companies, organizations may need to rethink how work is divided between humans and software. In an interview after the funding round, Zehavi said that companies increasingly need to decide what work should be done by employees, what tasks are assigned to agents, and what skills humans need when AI takes over part of their previous workload. HiBob is already developing technology that addresses this problem. Zehavi explained that the company is working on a system that can calculate the cost of an employee, an AI agent, or a collaborative effort of both.

This could expand HR technology into an entirely new category. Traditional workforce planning revolves around headcount, salaries, departments, and employee productivity. A company deploying hundreds or thousands of software agents might in the future need to model digital work alongside human work, including their costs, capabilities, permissions, and accountability. For a company that already maintains detailed information about organizational structures and employees, this represents a logical extension. The funding also comes at a significantly later stage of HiBob's development than its earlier venture capital rounds.

Zehavi said HiBob currently generates more than $400 million in revenue and aims to increase that figure to $1 billion in the coming years. Despite its size and the new valuation, an IPO is not currently a priority, as an IPO is unrealistic in the current market environment. HiBob's funding history shows how quickly the company has grown. 65 billion. 45 billion. 66 billion. 2 billion.