Key facts
| Branding | Your logo, colors and domain |
| Pricing control | You set retail pricing; Plugsky bills wholesale |
| Customer dashboard | Usage analytics, billing and support tickets in your brand |
| API access | Private OpenAI-compatible endpoint per customer |
| Support model | You own first-line support; Plugsky backs you |
| Use cases | MSPs, agencies, vertical SaaS, telcos and ISPs |
| Model access | 30+ models under one API |
| Product status | Live (Enterprise engagement) |
TL;DR
- Customers see your brand, domain and pricing — not Plugsky's.
- You set retail pricing; Plugsky bills wholesale with volume tiers.
- A branded dashboard handles usage, billing and support tickets.
- Each customer gets a private OpenAI-compatible endpoint.
- You own first-line support; Plugsky provides the platform and escalation.
How it works, step by step
- Define the AI products you want to sell — chat, RAG, agents or a bundle.
- Agree wholesale terms and volume tiers with the Plugsky team.
- Configure branding: domain, logo, colors and email templates.
- Set up tenant isolation and per-customer API keys and limits.
- Onboard a pilot customer and measure usage, latency and support load.
- Scale with your own first-line support backed by platform escalation.
Try it yourself
Open the LLM cost calculator →
What white-label includes
The program covers the parts that are expensive to build: model access across 30+ models, inference infrastructure, RAG and agents, usage metering and a customer dashboard. Your customers see your domain, logo and colors, with their own API keys and a private OpenAI-compatible endpoint. You set the retail price; Plugsky bills you wholesale with volume tiers, so margin is transparent rather than implicit.
Support is split deliberately: you own the customer relationship and first-line support, and the platform backs you with escalation.
How the reseller model works
Think of it as two layers. The platform layer provides inference, retrieval, agent runs, quotas and reliability engineering. Your layer provides packaging, pricing, onboarding, support and industry context. That division is why white-label works for MSPs and vertical SaaS: they already have distribution and customer trust, but they do not want to build a model registry, inference cluster and ops team.
- Meter usage per tenant for billing and margin analysis.
- Set per-customer rate limits so one tenant cannot exhaust capacity.
- Keep keys and data isolated between customers from day one.
Go-to-market patterns
Four patterns show up repeatedly. MSPs bundle AI into managed-service contracts so support and tooling stay on one invoice. Agencies resell AI-powered content, research or document workflows to their clients. Vertical SaaS embeds AI features directly in the product and charges per seat or per action. Telcos and ISPs bundle AI with connectivity to increase ARPU and retention.
The strongest launches start narrow: one industry, one high-value workflow, clear service levels and a support runbook. Broad horizontal AI resale competes on price; vertical solutions compete on outcomes.
What you still own
White-labeling hides the platform, not the responsibility. You remain the contracting party for your customers, so their terms, data-processing agreements and support expectations are yours. Map residency and compliance with the platform team: the deployment model you choose — region-locked cloud, VPC, on-prem or air-gapped — determines what you can promise under GDPR, PDPL or HIPAA.
Honest caveat: if you resell without adding industry expertise or support capability, you are a markup layer, and your customers can price you out. The margin is for packaging and ownership, not for passing through a URL.
Honest comparison
| Capability | Plugsky white-label | Reselling a public API | Building your own platform |
|---|---|---|---|
| Branding | Your logo, domain and colors | None | Full control |
| Pricing | You set retail; wholesale tiers | You mark up per token | You set everything |
| Customer dashboard | Included and branded | Not included | You build it |
| Model coverage | 30+ models, one API | Vendor's catalogue | You host each model |
| Platform ops | Plugsky runs it | Vendor runs it | You run it |
| Time to market | Weeks | Days but undifferentiated | Quarters |
Frequently asked questions
Can customers tell it is Plugsky underneath?
No. The customer-facing experience uses your domain, logo, colors and dashboard, and endpoints are presented under your brand.
How does pricing work for resellers?
You set the retail price for your customers and are billed wholesale, with volume tiers available as usage grows. Exact rates are agreed with the sales team.
Do I get a dashboard for my customers?
Yes. Usage analytics, billing and support tickets are presented in your brand, with tenant separation between customers.
Who handles support?
You provide first-line support and own the customer relationship. Plugsky provides platform escalation behind you.
Can I resell RAG and agents, not just chat?
Yes. Inference, retrieval (RAG) and agent capabilities are available through the same platform and endpoint.
What compliance can I promise my customers?
That depends on the deployment model you resell — region-locked cloud, VPC, on-prem or air-gapped — and your own agreements. Review residencies and certifications with the team before signing customer SLAs.
Is there a minimum volume?
Commercial terms and volume tiers are agreed with the sales team based on your go-to-market plan; talk to sales for specifics.
Plugsky (2026). “White-Label AI API — Resell AI Under Your Brand”. Plugsky. Available at: https://plugsky.com/solutions/white-label-ai-api (last updated 2026-09-25).