Focused Portfolio
A smaller set of relevant models, selected for production use rather than catalogue size.
TOKEN API / MANAGED CAPACITY
Enterprise AI Tokens, Delivered Through One API.
Access a focused portfolio of production-ready AI models through a compatible API, backed by managed infrastructure and enterprise support.
A CONTROLLED PATH TO PRODUCTION
Model Capacity without the Serving Overhead
Token API packages infrastructure, inference delivery, and enterprise onboarding into one accountable service.
Managed Capacity
Infrastructure, serving, and ongoing performance management are handled as one service.
Familiar Integration
Use an OpenAI-compatible interface where supported, with application-specific onboarding.
Commercial Alignment
Capacity and terms are discussed against volume, workload, region, and launch timeline.
ENTERPRISE ONBOARDING
From Requirements to Private Access
The onboarding path is designed to validate model fit and capacity before your application moves into production.
- 01
Submit Requirements
Share workload, expected volume, target region, and timeline.
- 02
Confirm Fit
Align model capabilities and service scope to the application.
- 03
Validate Integration
Test the interface and confirm expected capacity.
- 04
Agree Terms
Set commercial, support, and operating expectations.
- 05
Receive Private Access
Onboard the authorized team through the customer portal.
Workload-Aligned
Model and capacity choices start with what the application needs to do.
Controlled Access
Access is issued to authorized customer teams after onboarding.
Managed as One Service
Serving infrastructure and ongoing performance are handled together.
QUESTIONS
Token API FAQ
Which models are available?
Availability is configured based on workload, region, and capacity requirements. We discuss the relevant options during qualification rather than publishing a large catalogue.
Is Token API open for self-service access?
No. Token API is provided through enterprise onboarding so capacity, technical fit, support, and commercial terms can be aligned before access is issued.
Is the interface OpenAI-compatible?
An OpenAI-compatible interface is used where supported. Application-specific requirements are confirmed during technical onboarding.
Can capacity be reserved?
Dedicated or reserved capacity may be discussed when the workload and operating requirements justify it. Availability is confirmed during qualification.
How is customer data handled?
Data handling, retention, access, and deployment boundaries are agreed for the service scope. Review our data principles and discuss specific requirements with the team.
TOKEN API
Tell Us What You Need to Run.
Share your workload, expected volume, target region, and launch timeline.