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Stigg 2.0

Stigg 2.0
Launch Date: July 2, 2026
Pricing: No Info
AI billing, cost control, enterprise software, cloud infrastructure, developer tools

Stigg 2.0: Real-Time Governance for AI Usage

Stigg 2.0 is a new version of a platform designed to help companies manage how they use artificial intelligence. It acts as a smart layer between an application and its billing system. Its main job is to decide instantly what every customer, user, team, or AI agent is allowed to do at the exact moment a request is made. This ensures that costs are controlled and usage stays within limits without any delay.

Benefits

The main advantage of Stigg 2.0 is its speed. It can enforce credit limits and budgets in under five milliseconds. This is much faster than older systems that waited for monthly invoices to settle accounts. In the world of AI, a single action can cost money immediately, and autonomous agents can make dozens of calls in parallel. Stigg stops runaway agents from spending too much money before they can cause damage.

It treats governance as critical infrastructure rather than just a billing feature. This allows large companies to sign big contracts with confidence because they have the tools to control usage in real time. The platform can handle over one million events per second, which means it can track every call and token accurately. This provides the data needed for correct billing and strict control.

Another key benefit is its flexible architecture. It uses a bring-your-own-cloud design, which means companies can run the metering pipeline inside their own cloud environment. This keeps sensitive usage data safe and ensures it never leaves the customer's secure environment. This feature helps companies meet strict data-residency rules and procurement requirements.

Use Cases

Stigg 2.0 is ideal for any business that uses AI heavily and needs to control costs. It is perfect for companies that use autonomous agents that can make many requests on their own. Without this tool, these agents could accidentally spend huge amounts of money on inference tasks without authorization.

It is also useful for enterprises that need to sign large contracts worth six figures. These companies need to know they can control usage in real time to avoid unexpected bills. The platform works well for teams that want to set limits per customer, per user, per team, or per specific AI agent.

Developers can use the Model Context Protocol server to let AI agents check their own entitlements and report usage directly. This makes it easier to integrate governance into complex AI workflows where multiple agents interact with each other.

Pricing

Stigg offers a free tier that requires no sales call. Developers can start using the platform immediately with full documentation and software development kits available. This makes it accessible for small teams and startups to test the waters without any upfront cost.

Vibes

The release of Stigg 2.0 was announced at the AI Engineer World's Fair in San Francisco. The company has gained attention for solving a critical problem in AI billing. While major tech companies like OpenAI have built similar systems in-house, Stigg aims to provide this capability to the broader market. The co-founder noted that building a basic credit counter is easy, but handling the complex edge cases and billing disputes requires robust infrastructure. Stigg has stepped in to fill this gap for companies that cannot build such systems themselves.

Additional Information

Stigg was founded by Dor Sasson and Anton Zagrebelny. The company is SOC 1 Type 2 certified, which is a standard for security and controls. To improve its offerings, Stigg acquired Received.ai to enhance its invoicing and contract management capabilities. They also added an integration with Airwallex to provide early-stage startups with free end-to-end billing solutions. Stigg 2.0 is available today for anyone to use.

NOTE:

This content is either user submitted or generated using AI technology (including, but not limited to, Google Gemini API, Llama, Grok, and Mistral), based on automated research and analysis of public data sources from search engines like DuckDuckGo, Google Search, and SearXNG, and directly from the tool's own website and with minimal to no human editing/review. THEJO AI is not affiliated with or endorsed by the AI tools or services mentioned. This is provided for informational and reference purposes only, is not an endorsement or official advice, and may contain inaccuracies or biases. Please verify details with original sources.

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