White-label AI
How can an MSP or telco sell private AI as a service under its own brand?
A managed-service provider or telecom operator sells private AI as a service by installing a multi-tenant AI platform on GPU infrastructure it owns, giving each customer an isolated environment under the brand of the provider, metering usage per customer and billing from that meter. The provider keeps the customer relationship and the margin.
Why providers are well placed
Providers already own two things that are hard to get: data centre capacity in the country, and customers who trust them with regulated workloads. What most lack is an AI product to sell on top. Each customer wants its own private platform, with its own models, agents and knowledge, and a provider cannot build one from scratch for each.
What the service is made of
| Part | What it does |
|---|---|
| GPU infrastructure | The compute the provider owns or leases, in its own facilities |
| Multi-tenant platform | One installation that hosts many customers, each isolated from the others |
| Customer environment | Where one customer builds and uses its own agents, under the brand of the provider |
| Metering | Usage recorded per customer as it happens |
| Provider console | Where the provider creates customers, sets plans and sees usage |
| Billing | Invoices raised from metered usage, through the billing system the provider already has |
How a provider launches it
- Install the platform on your own infrastructure.
- Apply your brand: name, logo, domain and sign-in.
- Define plans: what each tier includes and what a token costs.
- Create an environment for each customer. Each one has its own models, agents and knowledge.
- Meter usage per customer and bill from it.
What to check in a white-label platform
- Isolation between customers is real: identity, data, models and logs are separate.
- The whole service runs in your facilities, so you can state where data is.
- Customers see your brand, not the software vendor.
- Metering is per customer and good enough to invoice from.
- One team can operate many customers from one console.
Where Katonic fits
Katonic AI Cloud is the Katonic platform packaged for providers. The provider installs it on its own infrastructure, creates an environment for each customer under its own brand, and manages customers from a distributor console. Each customer gets its own models, agents and knowledge, isolated from every other customer, and usage is metered per customer.
Read next
- Katonic AI Cloud →
- Use case: white-label AI service for MSPs and telcos →
- What is a private AI cloud? →
Questions and answers
What is a white-label AI platform?
An AI platform that a provider runs under its own brand. Customers sign in to the provider service and do not see the software vendor.
Does the provider need its own GPUs?
It needs GPU capacity it controls, in facilities it can vouch for. That can be owned or leased.
How are customers kept apart?
Each customer has its own environment. Identity, data, models, agents and logs are separate for each one.
How does the provider bill?
From usage metered per customer, through its own billing system and plans.
Can a provider serve government customers this way?
Yes, where the service runs in facilities and under operations that meet the requirements of that government. The platform can run with no outside connection.