Product development and analytics providers Amplitude and Statsig have gone from competitors to partners, but this deal 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 remain at OpenAI following the company’s acquisition by OpenAI for $1.1 billion last year.
That leaves Amplitude to manage the platform, roadmap and support for a product whose creators now work elsewhere. For customers who have adopted Statsig because of its rapid pace of innovation, this distinction is important.
Statsig has become one of the most closely watched experimentation platforms in the AI era due to its warehouse-native architecture and high adoption by AI-driven businesses. The platform has gained traction by helping teams test features, manage deployments, and run experiments directly in environments such as Snowflake, BigQuery, and Databricks.
Why the deal creates uncertainty
Amplitude says the partnership addresses a growing problem in AI software development. While AI makes code generation easier, businesses still need systems that determine what should be shipped, how releases are measured, and when products should be rolled back.
“Even though teams can generate more code than ever before, the software development lifecycle remains bottlenecked in many other areas,” said Spenser Skates, CEO and co-founder of Amplitude, in a statement. blog post. “The challenge is how to evaluate code before it’s released, how to track what works after release, how to know what to roll back and when, and how to turn those signals into what to build next.
This positioning makes strategic sense. Experimentation and release management are becoming essential infrastructure as AI-generated software spreads across development teams.
However, the partnership structure creates obvious risks. Amplitude inherits the code and customer relationships, while OpenAI retains the engineers, product managers and statistics experts who originally built the platform.
“A racing car without a driver”
Optimizely CEO Alex Atzberger criticized the move in an unusually blunt way.
“Seven months after purchasing Statsig, it’s clear that OpenAI realized it had no interest in running a testing-focused enterprise software business,” Atzberger said. “Amplitude gets Statsig’s code without the talent, it’s a race car without a driver, and that should be very worrying for Statsig’s existing customers as innovation slows and support disappears.”
His comments are competitive, but they also highlight a real concern about 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’s happening with Amplitude’s existing experimentation products. The combined company now has overlapping analytics and testing capabilities, increasing the likelihood of consolidation over time.
What customers should look at
Atzberger also pointed out this problem directly.
“This also means that Amplitude now has two duplicate experimentation and analysis capabilities, which means more uncertainty for customers of either as one of them will be shut down over time,” he said.
This uncertainty becomes even greater as Statsig customers often choose the platform specifically for its native warehouse model and technical flexibility. If Amplitude changes pricing, roadmap priorities, or data architecture too aggressively, customers might start exploring alternatives.
The biggest problem behind all this is how quickly the AI market is reorganizing around operational tools. OpenAI initially acquired Statsig to accelerate its transition from a research lab to an applications company, providing infrastructure for experimentation, release controls, and AI-based product development.
Today, OpenAI appears more interested in preserving its internal capabilities than operating its attached enterprise software business.
That leaves Amplitude trying to absorb a high-profile platform while convincing customers that the innovation engine behind it still exists.
