The Usage Runtime for AI Products
Stigg announced version 2.0 of its platform, repositioning it as a usage runtime specifically designed for AI products. The update focuses on helping AI companies meter, monetize, and manage usage-based pricing for their LLM and API-driven offerings in real-time.
Background
- Stigg is a software-as-a-service (SaaS) startup that provides "entitlement management" — tools that help other companies handle pricing plans, feature gating (which features a user can access), and usage tracking.
- This post announces Stigg 2.0, a version specifically aimed at AI-powered products. The core idea: AI products now charge based on usage (e.g., tokens consumed, API calls made) rather than flat monthly subscriptions, creating complex metering and billing problems.
- The "Usage Runtime for AI Products" is Stigg's pitch to become the real-time infrastructure that tracks AI usage, enforces limits, and feeds that data into billing systems — essentially the plumbing between an AI app's usage and its pricing.
- This matters because the AI boom has created a new category of infrastructure need: companies selling AI features need accurate, real-time usage metering, and existing billing/entitlement tools weren't built for those granularity and latency requirements.