Integrate FenxARC™ into your software and offer it under your own brand. Give your product and each customer governed access to approved models, tools and data, for both user and agent requests.
White-label ARC is available by agreement, with Managed Service where required.
Give each customer a separate list: the approved models, tools and rules its users and agents may reach. Every request runs inside one list, so access is never pooled.
Three customer and internal product keys enter one ARC deployment. Each key resolves to its own list of approved models and tools. The boundaries do not connect, so one customer never inherits another customer's access.
Customer A list
Customer B list
Internal list
Apply access, privacy, routing, limits and spend controls to each customer list. One customer's settings do not expand another customer's access.
Someone can have access to more than one list, and any single request runs inside one of them. Access is never pooled across lists.
Give each customer its own governed surface while your internal team uses a different list from the same ARC deployment.
Use ARC beneath an AI-native product or software that is adding AI. White-label licensing and Managed Service are available by agreement.
Integrate ARC behind your own product experience and offer the governed layer under your brand. The agreement defines the embedded scope, branding, support and commercials.
Discuss an ISV deploymentFenxLabs can operate the agreed ARC and model environment inside your infrastructure or host it for you. Responsibilities and boundaries are agreed before deployment.
Explore the Managed ServiceARC speaks OpenAI. Change the base URL and key, then keep the SDK, client code and request shapes your product already uses.
Automatic routing is the default when a request omits the model. A named model remains available when the active customer list permits it.
from openai import OpenAI
client = OpenAI(
base_url="https://api.askarc.app/api/v1",
api_key="fxk_your_customer_key",
)
# No model named, so ARC scores the request and routes it
# inside the list that key is authorised for.
response = client.chat.completions.create(
messages=[{"role": "user", "content": "Summarise this account..."}],
)Show what each customer can access, how privacy and spend are enforced, what ARC controls for agents and which party operates the environment.
A request runs inside one customer list and reaches only the approved models, tools and data its policy permits.
ARC evaluates privacy on every request. Apply each customer's definitions and budget controls to its list before ARC ranks a route.
For agents, ARC controls the models, tools, approved data access, policies and spend available to a request. It does not control the agent's reasoning, planning loop, application logic, runtime or business accountability.
The ISV agreement records where ARC runs, who operates the environment, what crosses each boundary and which responsibilities FenxLabs assumes.
Bring the AI usage routed through ARC under one control point while keeping your own product and each customer inside separate resource, policy and spend boundaries.
Policy determines which models, tools and route options are permitted. ARC ranks only those permitted options. Inference stays a direct relationship between you and your providers, at their rates. We take no margin on it.Describe the product, customer boundaries and who should operate the environment. We will use that context to discuss an appropriate white-label or managed arrangement.