OpenAI Acquires Statsig to Speed App Development

OpenAI snaps up Statsig to accelerate applications

OpenAI announced it will acquire product-testing startup Statsig for $1.1 billion in an all-stock deal and bring its founder Vijaye Raji on as CTO of Applications. The acquisition is one of the largest for the ChatGPT maker under its current $300 billion valuation and is aimed at supercharging product development across ChatGPT, Codex and future consumer and enterprise applications.

Statsig’s core value is its experimentation and feature-flag platform, used to run A/B tests, guardrails and metrics-driven rollouts. By folding that capability into OpenAI’s Applications organization — now led by Fidji Simo — OpenAI expects faster iteration cycles, safer feature rollouts, and more disciplined measurement of how AI features affect users and business metrics.

The deal triggers a leadership reshuffle. Raji will report to Simo and lead product engineering for ChatGPT, Codex and upcoming apps. Kevin Weil moves from Chief Product Officer to head a new OpenAI for Science group focused on building AI tools for scientific discovery. Srinivas Narayanan will transition to CTO of B2B Applications to work closely with enterprise-facing teams.

OpenAI says Statsig will continue operating independently from its Seattle office and continue serving customers while becoming OpenAI employees. The acquisition remains subject to regulatory review.

Why this matters

Think of Statsig as the telemetry and trial lab for product teams. In practice, integrating it into OpenAI shortens the feedback loop between model updates and real-world performance, helping teams detect regressions, validate new features and optimize user experience with data rather than guesswork.

For enterprise customers, this could mean faster, safer rollout of AI-powered features—imagine a finance platform that tests a new AI assistant in production with tight metric guarding, or an e-commerce partner that measures lift from an AI-driven recommendation model before broad rollout.

• Faster experiment cycles and feature flagging across AI products
• Improved safety and rollback controls for model-driven changes
• A stronger data-driven product culture for measuring impact

Risks and open questions

The acquisition will draw regulatory attention because it bundles experimentation infrastructure with a market-leading AI platform. Observers will watch for antitrust and data-governance concerns, and customers will want assurances about continuity, data portability and impartiality of tests.

OpenAI’s decision to keep Statsig operationally independent and in Seattle signals an intent to preserve customer trust, but the path from acquisition to integrated operations will define whether this becomes a model for responsible AI product growth or a cautionary tale.

For product leaders and enterprises, the immediate takeaway is clear: to scale AI responsibly, you need rigorous experimentation, tight metric guards, and organizational workflows that connect model changes to measurable business outcomes.

QuarkyByte’s approach helps organizations model integration trade-offs, design experimentation frameworks for AI features, and quantify ROI and regulatory exposure—turning an acquisition headline into practical roadmaps for product teams and enterprise customers.