Layer 04 · Production

Token Factory

Managed inference endpoints, fine-tuning, and a hosted model catalogue — all billed by the token, with no serving infrastructure to manage.

Partner with CoreSpan
Transparent
Usage metering
Open + custom
Models served
Carbon
Reported
In Integration
Gaps & Opportunities

Traditional GPU billing

  • Billed by compute time
  • Limited consumption visibility
  • Hard to align with business value

Powering AI at scale needs

  • Elastic, Demand-Driven Scaling
  • Enterprise-Grade Multi-Tenancy
  • Flexible Billing Models
What you get
Policy and compliance guardrails for enterprise governance.
Adapt foundation models on dedicated CoreSpan GPUs.
Curated, ready-to-serve open-weight models.
Transparent usage and spend, billed per token.
How it works
  1. 01

    Publish an inference endpoint

    Deploy your model as a managed endpoint on CoreSpan infrastructure.

  2. 02

    Invoke via any LLM-compatible API

    Call the endpoint using standard OpenAI-compatible requests.

  3. 03

    Token consumption in real time

    Usage is metered token-by-token with live visibility.

  4. 04

    Access billing-ready data

    Pull structured consumption reports for cost allocation and invoicing.

Designed for Product & engineering teams shipping AI features, and enterprise teams running production inference without managing serving infrastructure

Contact us