Product development and analytics providers Amplitude and Statsig have gone from competitors to partners, but the arrangement is already raising questions about what customers are actually getting.
Under a partnership announced in May 2026, Amplitude will take over the Statsig brand and customer base, while the original Statsig team will continue at OpenAI following OpenAI’s $1.1 billion acquisition of the company last year.
That leaves Amplitude managing the platform, roadmap, and support for a product whose creators now work somewhere else. For customers who adopted Statsig because of its rapid pace of innovation, that distinction matters.
Statsig became one of the most closely watched experimentation platforms in the AI era because of its warehouse native architecture and strong adoption among AI-focused companies. The platform gained traction by helping teams test features, manage rollouts, and run experiments directly in environments such as Snowflake, BigQuery, and Databricks.
Why the deal creates uncertainty
Amplitude argues the partnership addresses a growing problem in AI software development. As AI makes it easier to generate code, companies still need systems that determine what should ship, how releases are measured, and when products should roll back.
“While teams can generate more code than ever before, the software development lifecycle remains bottlenecked in many other places,” Spenser Skates, Amplitude’s CEO and co-founder, said in a blog post. “The challenge is how to evaluate code before it’s released, how to track what’s working after release, how to know what to roll back and when, and how to turn those signals into what to build next.”
That positioning makes sense strategically. Experimentation and release management are becoming core infrastructure as AI-generated software spreads across development teams.
Still, the partnership’s structure creates obvious risks. Amplitude inherits the code and customer relationships, while OpenAI keeps the engineers, product leaders, and statistical experts who originally built the platform.
‘A race car without a driver’
Optimizely CEO Alex Atzberger was unusually direct in criticizing the move.
“Seven months after purchasing Statsig, it’s clear OpenAI realized it has no interest in running an enterprise software business focused on testing,” Atzberger said. “Amplitude is getting Statsig’s code without the talent, it is a race car without a driver, and should be very worrisome for existing Statsig customers as innovation slows down and support goes away.”
His comments are competitive, but they also highlight a real concern surrounding modern AI infrastructure. Increasingly, the long-term value of these platforms depends as much on the people who build them as on the code itself.
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Customers may also wonder what happens next to Amplitude’s existing experimentation products. The combined company now has overlapping analytics and testing capabilities, which raises the likelihood of consolidation over time.
What customers should watch
Atzberger pointed directly at that issue as well.
“It also means Amplitude now has two duplicative experimentation and analytics capabilities which means more uncertainty for customers of either, as one of them will be shut down over time,” he said.
That uncertainty becomes even more important because Statsig customers often choose the platform specifically for its warehouse-native model and technical flexibility. If Amplitude changes pricing, roadmap priorities, or data architecture too aggressively, customers could start exploring alternatives.
The bigger issue underneath all of this is how quickly the AI market is reorganizing itself around operational tooling. OpenAI originally acquired Statsig to accelerate its transition from a research lab to an application company, providing it with infrastructure for experimentation, release controls, and AI-driven product development.
Now, OpenAI appears more interested in preserving its internal capabilities than in operating the enterprise software business attached to it.
That leaves Amplitude trying to absorb a high-profile platform while convincing customers the innovation engine behind it still exists.
