June 2026 Summaries

In May, Statsig joined forces with Amplitude, marking a significant moment for experimentation platforms, with the initial integration phase focusing on seamless transitions and maintaining Statsig's renowned customer support and development velocity. Led by Chris Yu, VP of product management, and supported by key leaders from both Amplitude and Statsig, the team has spent the initial weeks learning the intricacies of the Statsig platform and addressing customer needs while planning future expansions. The upcoming Phase 1 aims to enhance platform features such as control and governance, AI-native workflows, and performance scalability, while actively working on integrating Statsig's validation capabilities with Amplitude's behavioral analytics. The ultimate goal is to create a unified system that enables product engineers to ship, test, and validate solutions efficiently, harnessing AI advancements for faster and safer product experimentation. As they progress, the team emphasizes a commitment to customer feedback, maintaining Statsig’s unique customer-driven approach, and preparing for full interoperability between the two platforms, envisioning a future where experimentation is seamlessly integrated into product development workflows.

Snowflake's acquisition of Natoma, a startup specializing in AI governance, underscores the critical importance of governance in AI adoption, as it prevents unchecked access to data warehouses and associated security vulnerabilities. Statsig's MCP (Managed Control Plane) takes a different approach by integrating governance within its existing access controls, offering a streamlined and practical solution for AI agent management. Statsig MCP functions as a hosted server that provides tools to enhance agent interactions with Statsig's API, ensuring actions are logged, permissions are respected, and control is maintained at both user and organizational levels. This governance framework, which includes features like least-privilege RBAC (role-based access control), end-to-end traceability, and agent review processes, aims to facilitate safe AI practices while maintaining operational efficiency. As Statsig continues to refine its governance features, expanded access and more granular permissions are on the horizon, promising a robust and responsible AI ecosystem.