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ARCby FenxLabsCollective Intelligence

Platform

  • How it works
  • Custom routing and governance
  • Use cases
  • Example architectures

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  • For ISVs
  • Open the portal

Services

  • Assessment and planning
  • Architecture and integration
  • Model Adaptation
  • EU AI Act readiness
  • Managed Service operations

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+31 85 060 5273contact@fenxlabs.ai

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For AI-native products and software adding AI

Embed a governed multi-model backbone

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.

Discuss an ISV deploymentStart free

White-label ARC is available by agreement, with Managed Service where required.

One deployment. Separate customer control.

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.

Illustrative scenario

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 keyAPI key
Customer B keyAPI key
Your product teamAPI key

Customer A list

Approved frontier modelEfficient modelRetrieval

Customer B list

Private endpointEfficient modelDocuments

Internal list

The full approved poolCode executionRepository
ARCOne ARC deploymentOne control plane and one endpoint, governing all three.

Customer policy stays separate

Apply access, privacy, routing, limits and spend controls to each customer list. One customer's settings do not expand another customer's access.

Access is never pooled

Someone can have access to more than one list, and any single request runs inside one of them. Access is never pooled across lists.

Product and customer use stay together

Give each customer its own governed surface while your internal team uses a different list from the same ARC deployment.

Explore model governance
Specialist embedded offering

A shortcut to a governed multi-model backbone inside your product.

Use ARC beneath an AI-native product or software that is adding AI. White-label licensing and Managed Service are available by agreement.

White-label licence

Offer ARC under your brand

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 deployment
Managed Service available

Have FenxLabs operate the environment

FenxLabs 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 Service
White-label licensing and Managed Service are scoped by agreement. No standard ISV price or operating scope is published.
Start on the Hosted Platform
OpenAI-compatible integration

Change the base URL. Keep the client.

ARC 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.

  • Omit the model and ARC scores the request and routes it.
  • Name a model and the request goes there instead of being routed.
  • Pinning is bounded by the model lists assigned to the key in use.
  • When a provider fails, the request takes the next path you set.
SDKs: Python, Node.js, Go, Rust, cURL.
client.py
Python
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..."}],
)
See how a request is handled
Customer assurance

Give customers precise governance answers

Show what each customer can access, how privacy and spend are enforced, what ARC controls for agents and which party operates the environment.

Resource access

A request runs inside one customer list and reaches only the approved models, tools and data its policy permits.

Privacy and spend policy

ARC evaluates privacy on every request. Apply each customer's definitions and budget controls to its list before ARC ranks a route.

Agent access, not agent logic

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.

Operating responsibility

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.
See how ARC makes routing decisions

Discuss an ISV deployment

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.

Sending this form emails your enquiry to FenxLabs. We use it to answer you.

Tell us about the product, its customers, the AI resources it uses and whether your team or FenxLabs should operate the environment.