AI will have a staggering and positive impact over the next decade. We want to accelerate this transition and the enormous benefits it will bring - from healthcare to productivity. But building high performing, reliable, and safe products is hard, and AI builders need better tooling to stop flying blind.

What do we mean by flying blind? Huge numbers of builders launch LLM products and simply hope everything will go well, usually after completing ad hoc testing and with rudimentary logging in production.

What are the outcomes of flying blind? Poor user experiences, from unaddressed user questions to unreliable response quality, and mishandling of sensitive issues. We’ve seen this increasingly often even among large sophisticated companies.

What's the alternative? Companies can make their products better through iteration and experimentation - no matter if they’re a 2 person startup with an unreleased product, or a big tech company with hundreds of millions of DAUs.

Analytics allow you to monitor performance in production, to understand how real users are experiencing your product. We group users by usecase and show success metrics for each usecase, so you can assess where your product is strong, and where it needs improving. This real user data is the ultimate test of your product.