You Gotta C This! Rocketlane raises $60M in Series C and announces Nitro, its Agentic AI.

Rocketlane has raised $60M, led by Insight Partners. Here's what this means for every PS team that's been doing the impossible manually.
March 25, 2026
Blog illustrator
Atteq Ur Rahman

There's a kind of stress that doesn't make it into the post-mortems.

Not the database wipe. Not the customer escalation that lands in your inbox on a Friday afternoon.

Those crises are visible. People mobilize. Things get fixed.

The stress I'm talking about is quieter.

It's the migration specialist who went 48 hours straight over the weekend, fixing a data transformation script ahead of Monday's go-live — no time to validate, the whole project riding on one person's endurance.

Every week, across every PS team, a version of this plays out - in migrations, documentation, integration work, and more. Silently. Accepted as the cost of doing business.

That's what we've been building to change. And today, we're announcing the next chapter.

The round and what we're doing with it

Today we're announcing a $60M Series C led by Insight Partners, bringing our total raised to $105M.

This follows a year that reinforced everything we believe about where the market is heading. 

Revenue more than doubled. Average deal size has grown 4.5x since 2023.

We now serve more than 750 customers globally, including 17 companies on the Forbes Cloud 100, AI-first companies like Intercom, Glean, and Notion

When we started, we set out to fix customer onboarding and project delivery, critical work that was chronically underpowered. What we didn't anticipate was how central professional services teams would become to the entire enterprise AI story. 

The teams deploying AI are now the difference between software that turns into shelfware and software that delivers outcomes. These teams have to scale their impact to more customers, existing and new, every year.

After all, we are in the era of “Services led growth” in AI. 

This $60M is how we go all in on that bet.  We're putting this capital to work in three places.

First, accelerating Nitro's execution agents into more of the hardest delivery work: configurations, migrations, testing, documentation.

The repeatable, high-stakes tasks that consume expert time and carry delivery risk every single engagement.

Second, expanding our enterprise go-to-market. The opportunity is large and moving quickly. We're building the team and the motion to match it.

Third, deepening the category we're creating. PSA was built to track work.

The next generation of platforms will be built to execute it. That's the shift we're driving, and we intend to own it.

"In my experience, most vendors sell you a product and step back. Rocketlane is different. They stayed close, listened, and are highly engaged in helping us get the most out of the platform. The product itself is unique and compelling, but what also stood out was the partnership — the kind that makes you feel like your success is their success. That's rare, and it matters."
Michael Veatch, Head of Partner Onboarding & Implementation, WorldPay

The outcome era has a PS problem

Last year was about AI possibility. Enterprises bought into bold visions, launched pilots, ran proofs of concept.

But many of those experiments stalled. Adoption was unclear. Impact was hard to measure.

2026 is different. The question has shifted from "what can your AI do?" to "can you show me the business impact?"

This is the Outcome Era, and professional services teams are right at the center of it, whether they're ready or not.

Think about what's actually being asked of them. Your customers aren't just buying a new SaaS product. They're rolling out AI across their entire organization.

They need to implement, train, and adopt. They need to drive consumption and prove value, at a pace and complexity that's unlike anything they've managed before.

And the teams responsible for delivering all of this? Still operating, fundamentally, the way they did three years ago.

Manual coordination, spreadsheet-based resourcing, governance that lives in people's heads, documentation that's already behind by week one.

McKinsey puts enterprise AI initiative failure rates above 70%.

TSIA's research shows 58% of PS organizations are actively restructuring their delivery model around outcome-based contracts.

The gap between what's being demanded and how teams operate is real. And it's widening fast.

That's the problem Rocketlane was built for.

"At Campfire, we're building the AI-native ERP that lets high-growth companies scale without scaling their accounting team. We partnered with Rocketlane to apply that same philosophy to our service delivery — replacing fragmented processes with a transparent, automated experience that allows us to scale as fast as our customers do."
Andrew Greener, Head of Business Operations, Campfire.

This era can't belong only to the most resourced teams

The teams most at risk in the Outcome Era aren't the ones that lack ambition.

They're the ones who didn't have the time or the resources to completely rewire how they work before the bar moved.

The teams that adapted early to the last major platform shift weren't the biggest or the best-funded.

They were the ones who had the right tools at the right moment — tools that didn't require months of reinvention to deliver value.

We're not building Nitro just for teams with a dedicated AI strategy, a large operations bench, and months to experiment.

Most PS teams don't have that. They have a backlog, a deadline, and a customer waiting.

That's the responsibility we've taken on.

Build the layer that makes this transformation accessible — familiar enough that any team can pick it up, different enough on the other side that there's no going back.

We need the “iPhone  moment” for professional services. Not a proof of concept. A change in how delivery actually runs, for every team — not just the ones that were already ahead.

"Rocketlane has been an excellent partner in setting up our implementation. Their team brought clear benchmarks and best practices that helped us structure our onboarding more effectively from day one. We've been impressed with the collaboration so far and we only wish we had started with them sooner."
Camilla Matias, COO, Brex

What we built and why we built it this way

When we started designing Nitro, we faced a fork in the road.

We could take the obvious path: sprinkle AI features onto existing workflows. Summaries. Suggestions.

A copilot that helps you do the same things slightly faster. The kind of thing that looks great in a demo and maybe moves a metric or two.

Or we could rethink the operating model itself.

We chose the second one. Not because features are wrong, but because features don't answer the question that actually matters: how does a 40-person PS team deliver at the pace that used to require 100?

“At Glean, we know successful enterprise AI deployments depend on both great technology and strong execution. Turning AI into real business value requires strong services, disciplined implementation, and a clear focus on customer outcomes. Rocketlane has been an important infrastructure investment in helping us scale our services motion and support faster time to value for customers.”
Josh Rutberg, VP, Customer Outcomes, Glean

Nitro is Rocketlane's agentic execution platform. It doesn't sit alongside delivery — it's embedded inside it. It changes how work happens at three distinct levels.

At the first level, Nitro automates operations. Staffing decisions that used to live in spreadsheets now run automatically. Missing timesheets and budget overruns surface before they become margin surprises.

Governance enforces itself. Leaders spend their time approving decisions instead of assembling them.

At the second level, Nitro becomes an intelligence layer that runs continuously across every active account.

Expansion signals surface alongside friction points. Stakeholder changes get flagged before they affect delivery.

Critical context doesn't disappear when a consultant rolls off an engagement. The delivery system stays current on its own.

At the third level — and this is where the deepest change happens — Nitro executes the actual work. Data migrations. System configurations. Documentation.

The work that's undeserving of your best consultants' time, but lands on them anyway, every single engagement.

Nitro handles the mapping, surfaces validation errors, and executes with a full audit trail. With humans in the loop at every critical decision point.

The bottlenecks in PS delivery were never a resourcing problem you solve by hiring more people. They were an execution model problem. Nitro changes the model.

"For complex enterprise engagements, the ability to capture meeting insights and automate detailed documentation and action items is a game-changer. Rocketlane's AI Fills has significantly reduced our manual overhead, helping us align on our solution design faster with customers, and ensuring both Chargebee and our merchants stay ahead on critical tasks."
Sukanya Kuppuswamy, VP Shared Services, Chargebee

What's next

Nitro is live. The momentum is real. And we're just getting started.

If you're a PS leader watching your team carry weight that technology should be carrying, I'd genuinely like to talk. Not a demo call. A real conversation about where your delivery is breaking, and whether Nitro is the right answer for where you are right now.

If you're already a Rocketlane customer, your CSM can walk you through where Nitro applies, what ROI looks like, and what a rollout means in practice.

Execution no longer has to wait on human limits.

— Sri, Co-founder & CEO of Rocketlane.

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<TL;DR>

A Forward Deployed Engineer (FDE) embeds in the customer environment to implement, customize, and operationalize complex products. They unblock integrations, fix data issues, adapt workflows, and bridge engineering gaps — accelerating onboarding, adoption, and customer value far beyond traditional post-sales roles.

Myth

Enterprise implementations fail because customers don’t follow the process or provide clean data on time. Most delays are purely “customer-side” issues.

Fact

Implementations fail because complex environments need real-time technical problem-solving. FDEs unblock workflows, integrations, and unknown constraints that traditional onboarding teams can’t resolve on their own.

Did you Know?

Companies that embed engineers directly with customers see significantly higher enterprise retention compared to traditional post-sales models — because embedded engineers uncover “unknowns” that never surface in ticket queues.

Sebastian mathew

VP Sales, Intercom

A Forward Deployed Engineer (FDE) embeds in the customer environment to implement, customize, and operationalize complex products. They unblock integrations, fix data issues, adapt workflows, and bridge engineering gaps — accelerating onboarding, adoption, and customer value far beyond traditional post-sales roles.