Question: I'm looking for a solution that allows me to control feature releases and A/B testing from a single interface.

If you're looking for a tool to manage feature releases and A/B testing from one interface, GrowthBook is worth a look. This open-source tool offers customizable feature flagging and A/B testing tools so you can manage and measure product changes from one interface. It includes features like a visual editor, Bayesian and Frequentist statistic engines and lightweight SDKs, along with flexible pricing tiers, including a free starter plan for up to 3 users and a Pro plan at $20 per user per month.

Another option is Split, a feature delivery platform that handles feature flag management, software experimentation and continuous delivery. Split lets product development teams release new features faster and more safely with feature flagging, automated rollout monitoring and A/B testing. Its patented attribution engine provides 100% feature-level observability, which means it can link relevant data to each feature so you can better measure the impact of every rollout and quickly triage any problems.

Taplytics is also a good option. This cross-platform tool offers advanced feature management and experimentation abilities, including cross-platform A/B testing, feature flags and multivariate testing. With real-time support from a dedicated Customer Success team, Taplytics is designed to reduce engineering time and accelerate experimentation, making it a good option for teams that want to improve product growth and user engagement without a lot of engineering overhead.

If you need a more complete toolset, Statsig offers a full-stack feature management and experimentation platform. It includes products like Experiments for automated analysis, Feature Flags for controlling rollouts and Analytics for data-driven decisions. With enterprise-grade infrastructure and flexible pricing tiers, Statsig is designed to handle all phases of experimentation, making it a good option for teams that want to accelerate experimentation velocity and optimize AI applications.