AI Token Factories abstract LLM APIs behind a single endpoint, adding routing, caching, spend control, and GDPR compliance — so your team ships faster without touching model infrastructure.
Every call to a large language model is billed in tokens — the smallest units of text a model processes. A token is roughly four characters of English, so a 1,000-word document is about 750 tokens. Providers charge separately for input tokens (your prompt) and output tokens (the model's reply), and prices vary by model, tier, and region.
For a startup sending a few hundred requests a day this is simple arithmetic. For a company with dozens of teams, multiple models, and thousands of daily users it becomes a billing labyrinth: which team used what, which model, at what cost, and did any of it violate a data-residency requirement?
A Token Factory is a managed API layer that sits between your application code and the underlying model providers. Instead of each service calling cloud providers or a self-hosted model directly, every request goes through the factory.
US-based model providers process your data on US infrastructure. For European companies handling personal data under GDPR, this creates a compliance problem: every API call is a cross-border data transfer that requires a legal basis.
Intellixer runs entirely on EU infrastructure (Google Cloud region europe-west12, Turin). Before any prompt reaches the model, our Privacy Engine — built on Microsoft Presidio — detects and redacts PII: names, emails, phone numbers, Italian fiscal codes, IBAN numbers, and custom entity patterns. The original data never leaves your jurisdiction.
Intellixer is in private beta. Early access customers get dedicated onboarding, fixed-price token packages starting at €10, and direct access to the engineering team.