Stigg is a runtime tool specifically designed for AI products to effectively manage and monetize AI features in real-time. It is designed to handle every AI request as a spend decision and controls what each customer, user, or agent is permitted to do.
One of its core features is real-time enforcement, ensuring millions of AI requests are decided in under 10ms. Every limit, entitlement, and credit expenditure is checked before a token exceeds its budget.
Stigg also provides a financial-grade credit infrastructure that includes features like wallets, ledgers, burn-downs, priority consumption, and expiry rules.
Another feature is entitlements, where AI features can be shipped quickly. This is because the entitlement logic resides outside of the user's codebase, allowing for the rapid deployment of a new model, tier, or feature.
In addition, Stigg offers real-time metering at a very high event-per-second rate, thus ensuring every transaction is captured and aggregated. Stigg is also equipped with governance features that provide self-serve spend controls ensuring a per user, per team, and per agent budget cap.
This tool integrates seamlessly with existing billing systems, providing augmentation without requiring migration. Organizations retain full ownership of subscription and usage data, independently of the billing vendor.
In essence, Stigg serves as a comprehensive tool for managing and monetizing AI features effectively and efficiently in real-time.
Real-time enforcement
Financial-grade credit infrastructure
Rapid deployment model
High event-per-second metering rate
Per user spend controls
Real-time enforcement
Financial-grade credit infrastructure
Rapid deployment model
Complex integration
Requires real-time decision capability
Expenditure closely monitored

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