BlueBear services

White-Label AI Platform - Branded Agent Workspaces and Tenant Controls

Launch a branded AI product with tenant workspaces, MCP tool scopes, organization rights, workspace permissions, budgets, and customer-facing agent experiences.

How BlueBear handles the work

One tenant per client

Each customer gets an isolated tenant with its own workspaces, members, integrations, budgets, and evidence, so client work never shares a boundary with another client.

Evidence: Tenant isolation, per-tenant membership, per-tenant budgets

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Your brand, not ours

Branded workspaces and customer-facing agent experiences carry your identity, so the platform reads as your product rather than a resold tool.

Evidence: Branded workspace, domain and identity configuration

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Per-client capability

Integrations, permitted tool actions, and model access are assigned per tenant, so one client can have a different catalog and different limits from the next.

Evidence: Per-tenant integration catalog, tool scopes, model access

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Margin you can see

Usage, model spend, and support load are attributed per tenant, which is what turns a branded offering into a business with known unit economics rather than a blended bill.

Evidence: Per-tenant usage attribution, budgets, cost per tenant

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From request to inspectable outcome

  1. Define the offer

    Decide what your customers buy, which workflows are included, and where your responsibility ends and theirs begins.

  2. Template the tenant

    Standardise branding, integrations, model access, budgets, and roles so a launch is a repeatable sequence rather than a bespoke project.

  3. Onboard a client

    Provision the tenant, connect their systems, set their budget, and confirm readiness before anyone depends on it.

  4. Operate per tenant

    Track usage, cost, exceptions, and support load per client so growth does not quietly erode margin.

Frequently asked questions

Can we run BlueBear under our own brand?
Yes. Branded tenant workspaces and customer-facing agent experiences carry your identity and domain configuration, so your customers experience your product rather than a third-party tool they have to be told about.
How are client tenants kept separate?
Each client is an isolated tenant with its own workspaces, members, integrations, budgets, and retained evidence. Requests carry that tenant context, so one client cannot reach another client connections or data.
Can each client have different integrations and model access?
Yes. The integration catalog, permitted tool actions, and model access are assigned per tenant, so a regulated client and a small client can run on the same platform with different capabilities and different limits.
Who supports the end customer?
That is a decision made at launch, not an assumption. The operating model separates platform responsibilities from the ones you hold with your customer, and tenant onboarding records which side owns support, budgets, and readiness.