Stigg - Real-time usage enforcement and governance for AI products

What it does

Stigg is a usage runtime that acts as a real-time enforcement and governance layer between your application and your billing stack. It decides what every customer, user, team, and agent can do at the moment they try. The platform handles metering, credits, entitlements, and governance in a single runtime, with sub-millisecond credit checks and zero overdraft. It supports deployment options including cloud API, BYOC (bring your own cloud), and BYODB (bring your own database).

Who it is for

Stigg is designed for engineering teams at companies that operate AI products at scale and complexity. It is used by teams at companies like Miro, PagerDuty, and Webflow, who need to enforce usage limits, manage credits, and provide enterprise governance without building the infrastructure themselves.

Why it matters

Every AI request is a spend decision. Stigg enables companies to make that decision in milliseconds, preventing overdraft and ensuring that usage is metered and governed in real time. This allows product teams to ship new AI features, models, and pricing tiers without touching deployments, and gives customers self-serve spend controls. It also decouples entitlement logic from the billing provider, allowing companies to switch billing vendors without migrating the entitlement layer.

Launch signal

Stigg has been adopted by notable engineering teams at Miro, PagerDuty, and Webflow, as evidenced by testimonials on their website. The platform claims p99 < 10ms for entitlement checks and an ingestion rate of 1M+ events per second. It integrates with existing billing stacks like Stripe and Zuora via bi-directional sync.

Brand and naming

The name "Stigg" is short, punchy, and easy to remember. It does not directly describe the product's function, which may require explanation but also allows the brand to stand out. The tagline "The Usage Runtime for AI Products" clearly positions it as infrastructure for AI monetization. The brand emphasizes performance (sub-millisecond), correctness (double-entry integrity), and flexibility (BYOC, BYODB).