Will Statsig still operate independently?

Statsig has stated it will continue serving customers from Seattle. However, as part of OpenAI’s Applications team, its long-term independence and customer focus remain unclear.

Should I be worried about my current Statsig setup?

Your experiments will keep running in the short term. The question is future innovation. When experimentation becomes someone else's side project, external customers naturally become secondary.

Why did OpenAI acquire Statsig?

OpenAI wanted to strengthen its applications group. Statsig’s experimentation technology and leadership are now being integrated into OpenAI’s AI-driven product roadmap.

Should current Statsig customers be concerned?

Customers may see continuity in the short term, but long-term priorities could shift away from external users toward powering OpenAI products.

What are the best alternatives to Statsig?

Optimizely offers a stable, enterprise-ready experimentation and digital experience platform trusted by leading global brands. It combines experimentation with personalization, CMS, and commerce—capabilities beyond Statsig’s current scope.

How does Optimizely compare to Statsig?

Optimizely is not anyone's side project. Experimentation is our main business. Our roadmap serves customers like you, not internal corporate priorities.

Optimizely vs. Statsig

Bringing [Statsig] in-house will strengthen our ability to accelerate experimentation across our Applications org.

Vijaye Raji

Statsig’s founder and CEO, became OpenAI’s CTO of Applications

What just happened to Statsig?

While exciting news for AI, Statsig may lose roadmap focus as your experimentation
needs just became secondary to OpenAI's internal applications.

In short, it became a side project.

Here's what it means for you:

Absorbed into OpenAI: Statsig’s priorities may shift toward supporting OpenAI’s
apps, rather than customer-driven experimentation.
Roadmap unclear: Beyond “operating independently,” no long-term product
guarantees have been made.
Potential disruption: Engineering focus may be redirected, slowing integrations
or support for enterprise customers.

So, what happens to those who depend on Statsig's experimentation tool or are looking
to buy?

ChatGPT team vs. your business outcomes?

Your platform is now someone's side project. Resources will serve OpenAI's internal roadmap first.

This is why we went all-in when we acquired NetSpring, the best warehouse-native analytics platform. We made it the foundation of Optimizely Analytics because...

Side projects don't scale. Dedicated platforms do.

So, you can connect every experiment to revenue, retention, and business KPIs directly from your data warehouse.

What you get is an AI-powered optimization platform:

Independent and stable:
Clear roadmap, not subject to acquisition shifts
Enterprise-grade:
Combines experimentation with personalization, content, commerce, and analytics
Flexible and friendly:
Built for cross-functional teams, not just engineers
Proven at scale:
Trusted by top global enterprises for mission-critical digital experiences

WTF do you do now?

Are you willing to risk your entire experimentation program on a company whose leadership has just been realigned?

Here are 7 reasons to choose Optimizely over Statsig:

	Optimizely	Statsig
Advanced statistical models	We continue to roll out and invest in the latest statistical methodologies like CUPED.	Technical transparency but may lack business-first context.
Zero flicker, no slowdown	The most performant way to deliver variations with zero latency with Edge Delivery.	Performance limitations can cause slower load times.
Experimentation analytics	Connect user behavior to business outcomes directly in your warehouse, so you can finally prove what's working and accelerate growth.	Warehouse-native only (Snowflake, BigQuery, Redshift); limited marketing support.
Modern editor	Our WYSIWYG editor is compatible with the latest JS frameworks.	Requires custom coding for most variations; no visual editor for non-developers.
Independent and stable Roadmap	1,000+ customers running millions of experiments over a decade. Customer-driven innovation, not subject to acquisition shifts.	Now part of OpenAI's Applications team. Future priorities uncertain, will serve OpenAI's internal products first.
AI not for the sake of it	With Opal variation generation, you can prompt an agent to create variation changes for you and stop bothering your busy devs.	Still requires developer involvement for most variation creation.
Pricing	Trusted long-term provider with consistent investment in enterprise success.	Usage-based, may seem flexible but unpredictable at scale.

Say hi to the future of your experimentation program with confidence...

Vijaye Raji founded Statsig on the belief that the best products come from rapid experimentation, tight feedback loops, and data-informed decision-making. We couldn't agree more.

This is why Optimizely is not here to react to trends; we're here to define the present and
future of digital experience.

What this means for you – FAQs

The press has spoken

Reuters (acquisition announcement)

“OpenAI will acquire product testing startup Statsig for $1.1 billion in stock, appointing its founder Vijaye Raji as Chief Technology Officer of Applications.”
— Reuters

Optimizely POV: This signals a major shift: Statsig’s technology and leadership are moving directly into OpenAI’s core operations, creating questions about the independence of its customer offering.

The Verge (strategic rationale)

“The deal marks OpenAI’s latest effort to build out its applications team, adding experimentation tools to the company’s product stack.”
— The Verge

Optimizely POV: While this is a win for OpenAI’s internal product development, customers relying on Statsig may wonder how much of the roadmap will still prioritize external use cases.

GeekWire (continuity statement)

“Statsig said it will continue to serve customers independently from its Seattle office while integrating into OpenAI’s broader structure.”
— GeekWire

Optimizely POV: This provides short-term reassurance, but “independent while integrating” leaves the long-term direction open to interpretation.