About Winnow
The science your AI deserves, the SDK your engineers want.
Most AI tooling falls into two camps. Developer tools that are easy but statistically naive. Research platforms that are rigorous but unusable in production. Winnow bridges the gap.
We built a single platform that combines experiments, feature flags, evaluation, optimization, and guardrails into one system. One event stream, one data model, one decision engine. This is how the most successful technology companies in the world operate internally. We are making it available to every team.
The result is a tool that bridges what developers need (a clean SDK, fast iteration, code as source of truth) with what the business needs (statistical rigor, safety controls, measurable improvement). Built by experts, for experts.
Why Winnow exists
Three beliefs that shape everything we build.
Platform
Five vendors duct-taped together is not a platform. Winnow unifies experiments, flags, evals, optimization, and guardrails in one system. One event stream means no integration debt at scale.
Real statistics
mSPRT, CUSUM, Bayesian optimization, confidence sequences. The same rigorous methods behind large-scale experimentation programs, embedded so every team gets that expertise without hiring a stats PhD.
Developer-first
10 lines of Python to run a production experiment. The dashboard exists to review decisions. Code is the source of truth. Always.
How we work
Statistical rigor over vibes
Every decision backed by data. Sequential testing, Bayesian methods, and confidence sequences.
Transparency by default
Open-source SDK, public changelog, transparent pricing. We build trust by showing our work.
Ship fast, measure everything
We dogfood our own product. Every feature ships behind a flag. Every change is an experiment.
Built with
The technologies powering Winnow.