- Rox has raised $100M in Series B funding at a $1.3B valuation.
- General Catalyst and March Capital co-led, and Sequoia and Factory doubled down.
- Rox says its annual recurring revenue grew more than 10x in its first year.
Rox, a San Francisco-based AI startup developing autonomous revenue agents for large enterprises, has raised $100 million in Series B funding at a $1.3 billion valuation.
General Catalyst and March Capital co-led the round, with existing investors Sequoia Capital and Factory increasing their investments. New backers include Databricks Ventures and Prosperity7 Ventures.
The funding follows the company’s $50 million seed and Series A rounds announced in November 2024. Founded in 2024, Rox develops AI agents that help enterprise sales teams identify prospects, generate pipeline, manage deals and expand customer accounts. Zach Frankel, an early investor in Ramp, Cognition and Applied Compute, is also an early backer.
In its first year in the market, the company says its annual recurring revenue grew more than tenfold. It also reports net revenue retention above 700% across enterprise customers, with some seeing returns on investment of approximately 25 times within 90 days. Rox says a large German engineering and technology company reached 24.3 times.
An AI agent for enterprise revenue teams
Enterprise sales teams spend considerable time on activities that do not directly involve selling. Prospect research, pipeline updates, meeting preparation and follow-ups can take hours away from customer relationships and deal execution.
Rox was founded in 2024 by Ishan Mukherjee, Shriram Sridharan and Diogo Ribeiro, who set out to build AI agents that automate enterprise sales workflows.
Rox is targeting that administrative burden. Its AI agent is built on each customer’s own data warehouse and works within existing systems, automating pipeline generation, deal execution and account expansion.
The company points to a Salesforce estimate that the average sales representative spends 40% of their time on administrative work. Rox wants to redirect that time towards higher-value customer interactions.
“Rox is the product I wish I had.We built Rox for the Global 2000 because that is where the problem is the hardest and the stakes are the highest. Our own go-to-market runs entirely on Rox, with no other tools, and our customers are already generating hundreds of millions of dollars of pipeline at a fraction of the traditional cost. This round lets us go further in our ultimate goal of growing the world’s revenue,” said Ishan Mukherjee, co-founder and CEO of Rox.
Customers report hundreds of millions in pipeline
Rox says its platform is already producing measurable results across large enterprise customers.
For a global IT services firm, its agents generated $330 million in qualified pipeline in eight weeks and returned 1,000 hours to sales representatives by automating pursuit preparation.
For a medical technology company, Rox identified more than $200 million in potential funding opportunities at medical facilities and helped the customer close $24 million in revenue within five months.
A global engineering and professional services firm saw more than $310 million in potential opportunities identified, including previously missed public-sector bids.
Other reported results include doubling outbound volume for a DevSecOps platform, identifying and engaging four million prospects for a payroll provider at 20% of the cost of traditional outreach, and delivering more than 50 meetings in six weeks for an industrial software company.
Manu Narayan, chief information officer at GitLab, said Rox’s agents “help the revenue team find and research prospects, and fit into the systems and governance standards we already run.”
These are company-reported outcomes, and pipeline figures should not be treated as closed revenue. However, they illustrate the type of commercial work Rox wants its agents to perform.
AI sales agents attract new competitors
Rox is entering a growing market where startups are building AI systems to automate different stages of sales.
San Francisco-based 11x raised $24 million in Series A funding in September 2024, led by Benchmark, to develop autonomous digital workers for sales and marketing. Finland’s Optivian raised $2 million in pre-seed funding in February 2026, led by Failup Ventures, to build an AI sales execution platform. Airspeed raised $20 million in Series A funding in June 2026, led by DN Capital, to develop autonomous agents that turn commercial information from calls, emails and customer systems into action.
Rox’s distinction is its focus on the entire revenue process for large enterprises, rather than a single task such as outbound prospecting or lead qualification.
Its investors say the timing favours newcomers. “There is a long graveyard of companies that said they’d take on Salesforce. The difference now is that the old systems were never built for agents, and boards are finally willing to start fresh. Rox is winning those conversations,” said Marc Bhargava, managing director at General Catalyst.
Konstantine Buhler, partner at Sequoia Capital, said Rox is “a clear example of the real ROI of AI, delivering measurable results for Global 2000 sales teams and CROs in under a quarter.”
Enterprise AI agents attract investment
Grand View Research estimates that the global enterprise agentic AI market was worth $2.6 billion in 2024 and could reach $24.5 billion by 2030, growing at a compound annual rate of 46.2%.
Rox plans to use its new funding to advance its AI research, custom models and evaluation infrastructure, while expanding across healthcare, industrial, financial services, energy and technology. It has also launched a revenue-agent benchmark and recently cut outbound prospecting pricing by 50%.
The company was named a Visionary in the 2026 Gartner Magic Quadrant for Revenue Action Orchestration and a Major Player in the 2026 IDC MarketScape for Worldwide Unified Revenue Orchestration Platforms.
The question now is whether early customer results turn into repeatable growth, and whether boards will trust AI agents with increasingly complex revenue operations.
