FenxARC™ applies one governance path to requests from users, applications and agents. It resolves the active list, applies access and privacy policy, then ranks and executes only approved model and tool routes.
Configured centrally. Enforced on every request.
01
Confirm who is calling and which list governs the request.
02
Classify the task, complexity, sensitivity, format and any custom categories.
03
Remove models and tools that do not meet access, privacy, capability, limit or budget requirements.
04
Build the permitted route options and order them using the objective defined for the active list.
05
Execute the highest-ranked approved route. If none qualifies, stop the request.
Policy determines which models, tools and route options are permitted. ARC ranks only those permitted options. Unauthorised requests are blocked before any tokens are consumed.
You define the resources, the categories, the privacy classes and the limits. ARC applies them to every request, and applications keep the same connection.
ARC can run one approved model or assemble a governed route from models, tools and data-access steps.
ARC sends the complete request to one model that meets the need and every applicable rule.
A route is an ordered set of steps. Some steps are models, some are tools, and a step can run several destinations at once.
Applications connect through one OpenAI-compatible endpoint. ARC applies your current models, providers and rules behind that stable interface.
Your applications keep the same connection while administrators update resources and policy centrally.
When a provider fails, the request takes the next path you set. A local rule-based path scores requests without calling out to anything, so routing still happens when the systems it routes to are down.
Start free with one OpenAI-compatible integration. Talk to an engineer if access policy, data boundaries or deployment need to be settled first.