# Metering in your VPC, 24 export destinations and pricing that keeps…

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stigg4

September 2026 💚

Metering in your VPC,

24 export destinations and

pricing that keeps up with inference

This month we looked at where your usage data lives, where it goes, and what you charge for it. In this edition you can learn why the meter should run inside your own VPC, right next to the model, and see how Stigg data now exports to 24 destinations across your stack. Also featured: why a price sheet that updates once can't keep up with inference costs that fall 10x a year. Everything else we shipped is at the bottom.

The Model Is Sovereign. The Meter Isn't.

The Model Is Sovereign. The Meter Isn't.

Enterprises run their models inside their own infrastructure under Zero Data Retention contracts, then send every consumption event to a third-party meter. In this article, we explain why the meter should be sovereign too, and walk through the five things a usage layer has to get right: governed, real-time, integrated with every billing system, autonomously deployed, and built on a transaction-grade ledger.

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Stigg Now Supports 24 Data Export Destinations

Stigg Now Supports 24 Data Export Destinations

Your data belongs to you, and your engineers shouldn't have to build pipelines just to get it out. Stigg data export went from two destinations to 24, including Databricks, Amazon Redshift, PostgreSQL, ClickHouse, and Amazon S3. In this article, Or walks through choosing which entity groups sync, setting the frequency from hourly to daily, and tracking every run.

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Inference gets 10x cheaper every year. Your price sheet updates once.

Inference gets 10x cheaper every year. Your price sheet updates once.

For a given level of capability, inference costs fall about 10x a year. A price you set once can't track that, and it breaks in two directions. Costs fall and a competitor undercuts you, or usage climbs and a deal you booked as profitable turns into a margin leak. In this article, we walk through why fast repricing is an architecture decision, and what it takes to meter and enforce every request underneath it.

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What else has been going on at Stigg

Sub-10ms Latency and Fail-Safe Resilience for the REST-based SDKs

Roll out Credit Configuration Changes at Scale

Manage contracts in natural language with the stigg-contracts AI skill

Download invoice PDFs for your enterprise contracts

Unified Eurozone Pricing

Edge API support in the Stigg Go SDK

Stigg is the usage runtime for AI products. It controls what each customer, user, or agent can use: credits, usage limits, metering, and entitlements, enforced on every API call in real time. Stigg is a control layer that runs alongside your existing billing, and can be deployed in your own cloud (BYOC).

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