“We Want to Be the Default Product Stack for Software Teams,” Says Statsig CEO Vijaye Raji

“Complacency—that quiet voice that says, ‘you’re doing fine’—that’s the real threat.”

Vijaye Raji isn’t concerned with competition or irrelevance. The bigger danger, he says, is when companies stop challenging themselves and when progress plateaus not because of failure, but because of comfort. And for a founder who walked away from a potential acquisition by a public company, turned down startup offers, and left a senior role at Facebook to start from scratch, complacency is not on the roadmap.

In an exclusive interview with AIM Research, the Statsig CEO reflected on the cultural forces behind his startup’s rise and the deeper shift he hopes will spark across the software industry. “There is still a lot more we can build,” he said. “The moment we stop listening to customers, shipping features quickly, or being willing to change—that’s when we’re in trouble.”

Statsig’s journey so far suggests little risk of that happening. Since its founding in 2021, the company has rapidly scaled into one of the most talked-about players in product experimentation and analytics. It has reached over $40 million in annualized revenue, attracted customers like Notion, OpenAI, and Rippling, and raised a $100 million Series C at a $1.1 billion valuation led by ICONIQ Growth with participation from Sequoia and Madrona.

More notably, Statsig’s rise comes at a moment when the very nature of software development is being rewritten by AI. With every release, every feature flag, and every UX tweak now potentially shaped by machine learning, teams are confronting a new complexity: how do you measure success when user experiences vary by model output?

From Facebook Infrastructure to a Global Platform

Raji’s mission with Statsig is rooted in his decade at Facebook, where internal experimentation tooling was doctrine. “At Facebook, we wouldn’t launch a button color change without testing it,” he told AIM Research. But outside the Meta bubble, he noticed something troubling.

“The biggest surprise was how little product teams could actually see what was happening,” he said. “Companies were shipping features based on gut feel or quarterly deadlines, without knowing what actually moved the needle.”

This disconnect between effort and insight became the opportunity. “I had just come off a decade at Facebook,” he explained, “where I was lucky to help build tools that let product teams experiment and learn quickly. I realized I wanted to bring that discipline—measuring what works, iterating fast—to everyone.”

“That didn’t really exist yet in the outside world. So rather than join someone else’s vision, I decided to build it from scratch,” Raji recalled.

That conviction became the foundation for Statsig, short for “statistically significant.” Instead of creating yet another niche analytics tool, Raji and his team set out to replicate and simplify the powerful experimentation infrastructure they had relied on at Facebook, making it accessible to product teams everywhere.

Today, Statsig offers an integrated platform combining A/B testing, feature flags, performance monitoring, and analytics in a unified workflow. Product managers and engineers can use it to ship features gradually, test them on real users, measure behavioral and business outcomes, and make decisions in near real time. Unlike competitors that focus on individual functions, Statsig positions itself as an all-in-one system of record.

“The status quo for data is a mess,” the company notes. “Fragmented tools lead to slower decisions, disconnected metrics, and operational friction.” Statsig’s value proposition is to unify that chaos.

Acquisition or Autonomy

That clarity of purpose was tested earlier this year when Datadog approached Statsig for a potential acquisition. The talks didn’t result in a deal. Instead, Datadog went on to acquire Statsig’s rival Eppo for $220 million.

He explained that their focus was always on determining the best way to realize their vision. Their goal is to build the default product stack for every company that ships software and not just serve as an add-on to observability.

That decision ultimately led to Statsig’s $100 million Series C round. Of that, $80 million went to new capital for the company and $20 million was set aside for employees to cash out some of their vested equity. “We’ve been fortunate to have people who took a bet on us early and stuck with us,” Raji told AIM Research. “Giving them a chance to realize some of that value was the right thing to do.”

The AI Factor

Statsig’s timing has intersected with a dramatic shift in product development: the rise of AI-generated features. With models now deciding copy, generating layouts, and personalizing interfaces in real time, measuring product success has become more complicated but also more essential.

“In the end, we measure outcomes,” Raji said. “Whether a change came from a person, an AI model, or a mix of both, the question is still: did it impact a metric or improve the user experience?”

As AI accelerates unpredictability, Statsig sees itself as a counterweight, a system for grounding product decisions in user response rather than internal speculation. “AI models are only as good as the data and that includes the feedback loops we create,” Raji noted. In an AI-driven world, blindly optimizing based on historical success can lead to missed opportunities or the reinforcement of hidden biases. That’s why experimentation serves as a critical guardrail, helping teams validate whether a feature genuinely improves the user experience. It’s not about replacing human judgment, but strengthening it by continuously asking: Did this actually help the user? What changed?

With major customers like Notion already leaning on Statsig to manage this complexity, the product team is doubling down on deeper analytics, AI-specific impact tracing, and integrations that tie product behavior to business outcomes in more granular ways.

Raji’s vision is to replace outdated thinking. He believes experimentation is not just a technical capability, but a cultural one. “Without Statsig, without experimentation, I think we’d be just running the business blind,” said Notion’s engineering lead in an earlier statement.

To make that culture accessible, Statsig is designed to connect directly with data warehouses, eliminating duplication, improving observability, and aligning product decisions with the systems that companies already trust. The platform also enables session replays to provide qualitative insights behind user behavior.

Behind it all is a high-velocity team operating from Statsig’s Bellevue headquarters, which still runs on a five-day in-office schedule. “We’re outgrowing our space,” Raji shared. The company plans to expand its headcount to nearly 190 by 2026, anchoring its growth in the Seattle tech ecosystem.

A Founder Who Chose the Middle Path

Raji’s motivations go beyond product features or market share. He didn’t want to be another executive at a big tech firm, nor another operator in someone else’s startup. “I don’t want to go to a large company. I don’t want to go to a startup. I want to do my own,” he told AIM Research. The in-between space, scaling something purpose-built was the only option that made sense. Statsig is built to track systems, not individuals and they care about what works, not just who did it.