Rocketlane raises USD $60m to expand AI services platform
Rocketlane has raised USD $60 million in a Series C funding round led by Insight Partners, bringing its total funding to USD $105 million.
The new capital will support international expansion and further development of Nitro, its recently launched AI-based platform for professional services teams.
Rocketlane sells software that helps professional services teams manage and deliver customer implementations. Revenue more than doubled over the past year, average deal size has increased 4.5 times since 2023, and the company has opened offices in London, New York and San Francisco.
The fundraising comes as software vendors and their customers try to move AI projects from pilot programmes into routine operations. Rocketlane argues this is increasing the importance of professional services and forward-deployed engineering teams, which are often responsible for implementation, integration and adoption inside enterprise accounts.
Gartner projects global spending on IT services, including consulting, implementation and integration, will approach USD $1.9 trillion. Rocketlane says this reflects growing demand for teams that can turn technology investments into operational results.
Nitro launch
Earlier this month, Rocketlane launched Nitro, which it describes as an agentic execution platform for professional services. The product is designed to embed AI agents into delivery workflows so teams can identify risks earlier, rebalance resources, and handle repeatable tasks such as migrations, configurations, documentation and testing.
Early deployments suggest Nitro could cut delivery effort by up to 50% while identifying risks weeks earlier, according to the company. Those figures have not been independently verified.
Rocketlane says it now serves more than 750 customers worldwide, including 17 companies on the Forbes Cloud 100 list. Named customers include Intercom, Glean and Notion.
Apoorva Goyal of Insight Partners said the investor already had broad exposure to Rocketlane through its portfolio.
"Professional services teams are crucial engines of enterprise software and help turn signed contracts into real business outcomes. Rocketlane's AI-first platform enables professional services teams to scale their impact without scaling headcount. We're proud to back a company that more than 25 of our portfolio companies already trust and whose customers include some of the most exciting and innovative AI-native companies," said Apoorva Goyal, Principal, Insight Partners.
Rocketlane's positioning reflects a broader push among software suppliers to frame AI in terms of measurable work completed rather than experimental use. In its case, that means moving beyond software that mainly tracks projects and staffing to systems that can also carry out parts of the work.
Services focus
Management says the role of services teams has changed as enterprise buyers seek help deploying AI tools at scale. That includes professional services teams, forward-deployed engineers and other implementation specialists working between software vendors and customers.
"Five years ago, SaaS was optimizing for product-led growth," said Srikrishnan Ganesan, CEO and Co-founder, Rocketlane.
"But implementing AI and driving adoption and outcomes in the enterprise has turned out to be harder, leading to buzz around 'Services Led Growth', with professional services teams, Forward Deployed Engineers and Agent PMs becoming the new heroes. With Nitro, our goal is to give these heroes the superpowers they need to execute their work with radical efficiency and succeed in the Outcome Era, where AI is judged by work completed, risk avoided, and revenue protected," Ganesan said.
Rocketlane says the next phase of spending will focus on product development, sales expansion and broader international growth. It is betting buyers will spend more on tools that sit closer to delivery work than on software used mainly for project visibility and reporting.
"PSA was built to track work," said Ganesan.
"The next generation of platforms will be built to execute it. That's the shift and category we're driving," he said.