FenxARC™ is an AI governance platform for models and agents. Set approved models, tools, data access, privacy and spending rules in one place, then apply the assigned boundary before every request runs.
ARC governs many models at once, across provider APIs, private endpoints, models you host and custom-trained models, under one policy.
Free tier on the Hosted Platform. No card required.
Access
Which users, applications, workspaces and agents may use which models, tools and data access.
Your privacy policy
Which destinations may receive which information, based on rules your organisation defines.
Capability and fit
Which approved resources have the capability the request actually needs.
Budget and limits
Whether your spending policy and usage limits allow the request to run.
Unauthorised requests are blocked before any tokens are consumed.
ARC governs how users, applications and agents access models, tools and approved data sources. It does not govern an agent's reasoning, planning, application logic, runtime or business accountability.
ARC can replace model-selection, routing and policy logic repeated across applications, plus some custom provider-abstraction code.
Bring compatible models on supported endpoints under the same policy as the tools and approved data sources your workloads need.
Connect provider APIs, hyperscaler endpoints, private or self-hosted models, and custom-trained models.
Connect search, retrieval, documents, databases, workflow actions and the internal tools your organisation already uses.
Control which routes may reach which data sources. Under the Self-hosted Licence, approved vector storage can sit behind ARC itself.
A list groups the models, tools, data access and rules approved for a team or use case. Assign users, applications, workspaces and agents to the boundary their work needs.
ARC can run one approved model or coordinate models, tools and data-access steps in sequence. Among permitted routes, it can favour the most cost-effective suitable option or take the next path when a provider fails.
Configure and update these controls centrally, without redeploying your applications.
The AI resources available to ARC
Resources and policy for assigned users, applications and agents
ARC selects one approved model or endpoint for the request.
Any caller
ARC coordinates approved models, tools and data-access steps in sequence when the work or privacy policy requires it.
Any caller
The external model receives only the shielded context needed for its part of the task.
Start free with one OpenAI-compatible integration. Talk to an engineer if access policy, data boundaries or deployment need to be settled first.