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AI/R Compass UOL Adds 80-Provider, 600-Model Catalog to AI/Cockpit One

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Key takeaways

  • AI/R Compass UOL's AI/Cockpit One now supports more than 80 providers and more than 600 AI models.
  • Each model passes an approval workflow that evaluates provider data retention policies before it is enabled.
  • The platform shows token consumption and costs by model and user, with spending limits per team.

AI/R Compass UOL, a subsidiary of AI/R, expanded its AI/Cockpit One platform to support more than 80 providers and more than 600 artificial intelligence models, the company announced on November 6, 2026. The GlobeNewswire release said the expansion brings that catalog into a managed corporate environment and pairs usage governance with an approval flow for enabling models.

How the AI/Cockpit One Approval Flow Works

The approval flow assesses the security and privacy policies that providers apply to data. Support for a broad catalog does not mean every model is enabled automatically: each model goes through the flow, which evaluates the data policies applicable to the provider's service, and only options meeting the security criteria are enabled.

Cleyton Ferreira, Director of Technology and Products at AI/R, said the risk of exposure or leakage can sit with providers as well as inside the company. "Não basta liberar modelos e governar seu uso dentro da empresa, já que os riscos de exposição ou vazamento também podem estar nos provedores," he said, adding that the company requires that corporate data not be used for training.

In a single environment, the platform brings together agents, conversations and applications. It offers visibility into adoption, token consumption and costs by model and user, plus spending limits per team. It also centralizes security and access controls, with management of users, profiles and permissions, corporate authentication, SSO support, and operational information and audit events.

AI/R Compass UOL said the diversity lets companies pick the most suitable model for each use case, weighing quality, cost, speed, availability and security requirements. Organizations can test alternatives, route simple tasks to more efficient models and reserve advanced models for more complex demands, which the company said reduces vendor dependence and allows continuous optimization of AI investments.

AI/Cockpit One Documentation and Availability

AI/R Compass UOL said more information about the platform is available in the official AI/Cockpit One documentation. The announcement did not state pricing for the expanded catalog.

Companies in this story

  • AI/R Group

Sources

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