Offer AI agents under your own brand
You've seen what a personal AI agent can do. This is how you sell that as a service your customers buy from you — your product name, your domain, your invoice.
agnticr is built to be sold, delivered and supported by partners. Everything below describes the white-label service-provider layer as it works today, including its exact boundaries and fallbacks.
Can I offer something like Claude Cowork under my own brand?
Not Cowork itself: it is a personal agent product, not a provider platform you can brand and operate across your own customer base. What you can white-label is agnticr: a multi-tenant agentic platform carrying your product name, logo, domain, email and phone numbers instead of ours. Your customers sign in to your product and never see agnticr.
It's worth being precise because Cowork has moved on: scheduled tasks can run remotely, and the product has real enterprise controls including RBAC and SCIM. It remains designed around one knowledge worker's sessions and local projects. Sessions cannot be shared, and it has no provider console, per-customer cost rollup, inherited brand tree or channel identity for an offering you operate across a book of customers.
agnticr starts from the opposite end — the work belongs to a business, not a person — and four things change as a result:
- It is durable by construction. Cowork schedules run remotely, but each cloud sandbox ends with its session and resuming can require a manual Continue. agnticr jobs replay after a crash, survive deployments and wait days for replies without losing their place.
- It belongs to the company. An agnticr job is a shared organizational asset: colleagues can see it, the right person approves it, and it outlives whoever created it.
- It improves instead of restarting. Every run produces a graded review and safe changes to the executable plan are applied automatically as a versioned revision with an audit trail.
- Credentials live server-side. The platform holds credentials, exposes only allowlisted operations to agents, and scopes everything per tenant and project.
- Every run is itemized. You get cost per job run, per customer, across your whole base — which is what makes pricing and invoicing a service possible at all.
None of that makes a personal agent worse at personal work. Plenty of our own users run Cowork or Claude Code for individual work and agnticr for work their company depends on. The point is ownership: one is a product a person uses; the other is a service a provider can brand, operate and account for across customers.
What's the difference between reselling AI and white-labelling a platform?
Reselling means introducing your customer to somebody else's product and taking a cut — the vendor owns the login screen, the relationship and the renewal. White-labelling means the product is yours: your name on the app, your domain in the address bar, your invoice, your price. agnticr never sits between you and your customers.
The commercial consequence is bigger than it first looks. The moment your customers buy AI somewhere else, that vendor owns an active relationship with them — and is one step away from the rest of their business. Under your brand, they never leave your orbit, and every job that runs builds your brand equity rather than someone else's.
| Personal desktop agent | White-labelled agnticr | |
|---|---|---|
| Whose name is on it | The vendor's | Yours — product name, logo, colors, domain |
| Who it serves | One knowledge worker's sessions and local projects | Your whole customer base, each in its own tenant |
| Where it runs | Local work plus remote scheduled tasks; session sandboxes are temporary | Durable cloud workflows that replay after failure — days or weeks per job |
| Who owns the customer | The vendor | You — your contract, your invoice, your price |
| Where your margin comes from | A reseller discount, if offered | Your own service and pricing |
| What you can see | Nothing — it's someone's private desktop | Usage and cost per customer, in one console |
What exactly carries my brand?
The product name, logotype, favicon, brand and interface colors, the login screen, invitations, password resets and notification emails — all of it, set once at your level and inherited by every customer you own. Even the AI agents refer to the platform by your product name when they speak, in chat, in email and in voice.
- Your product name. The platform is renamed throughout. The agents themselves use your name when they talk about the product.
- Your logo, icon and colors. App, login screen, invitations and password resets carry your identity, with custom CSS for the last mile.
- Your domain. Use
ai.yourbrand.comwith DNS verification and managed certificates, or start instantly onyourbrand.agnticr.com. Sign-in is scoped to the host, so account discovery never crosses brand boundaries. - Your channels. Send email from your verified sending domain and run WhatsApp and voice on your own numbers through your Twilio account.
- Invitation-only. Your customers are invited by you and sign in on your domain. There is no agnticr self-signup on your turf.
- Sub-providers. Structure regions, business units or your own resellers up to five levels deep, each with its own branding, domains and admins.
The fallback. Until you configure a provider-specific email, WhatsApp or voice identity, that channel quietly uses the platform identity so work can continue. The provider layer gives you cost visibility but deliberately does not invoice customers or calculate your margin — you bill them on your own terms.
What does my customer actually see?
Your sign-in screen on your domain, your product name in every message, and an AI team they brief in plain words the way they'd brief a colleague. When a job needs a decision, the approval request arrives on WhatsApp under your product's name — not ours.
A customer describes a recurring job in ordinary sentences. The platform drafts a plan, the customer approves it, and the job then runs on its own schedule — for hours, days or weeks — pausing to ask when something needs human judgment. Every run ends with an itemized record of what was done and what it cost.
You are not selling a lite edition. Your customers get the full platform described across this site: the AI team you talk to like a coworker, jobs that run for weeks, approval gates on WhatsApp, plans that improve themselves with every run, and a full audit trail — rebranded as yours, controlled by you.
What do I charge, and where does my margin come from?
You set your own prices and send your own invoices — agnticr doesn't set them and doesn't bill your customers. Your margin comes from the service you wrap around the platform (onboarding, job design, care plans), not from a reseller discount, so you're not competing on somebody else's price list.
- Usage per customer. Consumption broken down customer by customer — what you need to price, package and invoice on your own terms.
- Budgets and hard caps. Give every customer a monthly budget with alerts, or a hard cap that cannot be crossed. No surprise bills, no awkward conversations.
- Recurring by nature. Jobs run every week, month after month. Each customer you add stacks predictable revenue rather than another project.
For scale: a typical recurring job that takes a person about four hours a week costs roughly €500/month in salaried time, or around €700/month bought from an agency. The same job running on the platform typically sits inside a budget of tens of euros a month. The spread between that and what the outcome is worth to your customer is the room you price into.
Do I need engineers to launch this?
No. Branding, domain and your first customer environment are configuration, not development — an afternoon's work — and jobs are created by describing them in plain words rather than by building flows. There is no code to write and no infrastructure for you to run.
- Talk to us. We set you up as a service provider and walk through the provider console together.
- Make it yours. Product name, logo, colors, your own domain.
- Onboard your first customer. Create their environment and let them describe their first job in plain words. The platform drafts the plan, runs it, and improves it from there.
- Scale the service. Package jobs by industry, price them your way, repeat.
Support works the same way. Provider admins can step into any customer they own to help — no access requests, no shared credentials — and every provider action is logged in an audit trail you can show a customer or an auditor.
Who is this actually a good fit for?
Anyone businesses already trust with something operational: IT service providers and MSPs, consultancies and agencies, accounting and professional firms, and software or hosting vendors. The common thread is an existing customer base that is already asking you about AI.
- IT service providers & MSPs — put a managed AI workforce next to managed infrastructure. Same motion, same trust, a new line on the invoice.
- Consultancies & agencies — turn one-off AI advice into a recurring service clients renew every month, under your brand, on your domain.
- Accounting & professional firms — deliver the recurring jobs clients keep asking about: document chasing, follow-ups, reporting.
- Software vendors & hosting providers — add an AI back office next to your existing product, with your name on the login screen.
If your customers are already asking what you think about AI, you have the hard part. Pointing them at a tool answers the question and ends your involvement; answering with something that carries your name starts a recurring service instead.
How do I get started, and what's the catch?
Tell us about your customer base and the offering you have in mind, and we'll set up your provider environment together — starting costs nothing, and you can validate the offering on your own business for free. The honest catch: agnticr is in private beta right now, service-provider slots are limited, and open beta follows in Q4.
Private beta means you'd be early — shaping the roadmap, with direct access to the people building it, and with some rough edges still visible. If that trade is wrong for your customers today, the sensible move is to get on the list and start when open beta does.
Put your name on it.
Tell us about your customer base and the offering you have in mind — we'll set up your provider environment together.