We provide a white-label AI chatbot platform that resellers can brand as their own. Our platform includes RAG, multitenancy, and flexible billing for reselling to clients. Each client gets an isolated instance with their own data, branding, and integrations. Onboarding new clients is 2 times faster than traditional platforms—typical 12–20 minutes. Resellers save up to 60% compared to in-house development, and average margins reach 70%. For example, custom development costs $50,000–$100,000, while our platform starts at $15,000.
We build the platform on the principles of full data isolation. Each tenant (the reseller's client) gets an isolated vector store for their knowledge base, their own set of system prompts and tone, separate API keys to LLMs (or billing through the platform), and individual integrations (their own Telegram bot, their own widget). We use the RAG approach for accurate answers based on the client's documents.
class TenantRouter: def __init__(self, tenant_config_store): self.configs = tenant_config_store def get_agent(self, tenant_id: str) -> ChatAgent: config = self.configs.get(tenant_id) return ChatAgent( llm_config=config.llm_settings, vector_store=VectorStore(namespace=f"tenant_{tenant_id}"), system_prompt=config.custom_system_prompt, tools=config.enabled_tools, branding=config.branding ) For data isolation we use Qdrant namespaces, Pinecone separate indices, or Weaviate tenant isolation API (since version 1.20). Each knowledge base is stored separately, access is strictly by API key. Our AI chatbot reseller platform includes tenant vector storage as a core feature.
Branding Setup Without Code
The reseller and their clients manage branding through an admin panel—no redeploy needed. Upload logo, choose color scheme (primary/secondary colors, fonts), bot name, welcome message, avatar, tone: formal / neutral / friendly. The widget renders with runtime injection of CSS variables—one bundle for all tenants. We use React + Web Component for style isolation, so the widget doesn't break the client's website layout. The platform processes more than 10,000 requests per day with 99.9% uptime.
How Is Client Onboarding Organized?
The process of connecting a new client consists of five steps, designed for 15-minute chatbot onboarding:
- Registration via the reseller's form (2 minutes).
- Uploading the knowledge base—PDF, URL, or CSV (5 minutes).
- Automatic vector index creation: chunking, embedding generation, upsert to storage (3 minutes).
- Widget configuration via a drag-and-drop editor: choose color, position, greeting (3 minutes).
- Copying the embed code to the website (2 minutes).
Average full onboarding time: 12–20 minutes for basic configuration. We guarantee that integration will not require access to the client's website source code. For complex cases with custom integrations, the process takes up to 2 hours.
Technology Stack of the White-label Platform
- Frontend: React (widget), Web Components
- Backend: FastAPI / Node.js
- LLM: OpenAI GPT-4o, Anthropic Claude, self-hosted Llama via vLLM
- Vector store: Qdrant (self-hosted), Pinecone (managed)
- Database: PostgreSQL with row-level security
How Is Monetization of the White-label Chatbot Structured?
The reseller sees in their panel the number of tokens and requests per tenant, billing aggregation, and the ability to set a markup on top of the cost. We support flexible models for AI chatbot billing:
| Monetization Model | Description |
|---|---|
| Per-message | Fixed price per message |
| Per-token | Pass-through token cost + markup |
| Subscription + overage | Plan limit + overage charge |
| Flat fee per tenant | Fixed monthly fee per tenant |
The reseller can combine models for different clients. For example, with a 30% markup on token cost and 10 active clients, net profit reaches up to $2000 monthly. Return on investment in the platform is 3–5 months.
A reseller with 3 years of experience noted: "We launched the white-label platform in 6 weeks and got our first clients within a month. Onboarding took 15 minutes, clients are satisfied."
Analytics and Monitoring
The reseller sees aggregated statistics; each tenant sees their own. Number of conversations, average messages per session, containment rate, top unanswered questions, CSAT per session, token usage and cost. Dashboards update in real time, data stored for 24 months. Based on analytics, the reseller adjusts pricing and improves response quality. Our chatbot analytics for resellers are comprehensive and customizable.
What's Included in the White-label Platform?
We develop the platform turnkey—we are experts in turnkey AI platform development. Deliverables include:
| Component | Description |
|---|---|
| Platform source code | Frontend (React), backend (FastAPI/Node.js), infrastructure as code |
| Reseller admin panel | Tenant management, billing, analytics |
| Chatbot widget | iframe embed or Web Component with customization |
| API documentation | REST + WebSocket for integrations |
| Deployment instructions | Docker Compose or Kubernetes |
| Team training | 2 sessions of 2 hours each |
| Startup support | 2 weeks after launch |
| Configuration | Development Time |
|---|---|
| MVP: widget + RAG + basic admin | 5–7 weeks |
| Full platform with billing and analytics | 9–13 weeks |
| Enterprise: SSO, on-premise, custom LLM | 14–20 weeks |
Timelines are calculated individually after requirements audit. Our experience: over 5 years in AI/ML, 20+ successful projects. We provide a license to use the platform on SaaS or on-premise terms. Get a consultation—we will assess your scenario and offer the optimal solution. Contact us for a free project evaluation or request a demo to see the platform in action. We specialize in custom chatbot branding and LLM integration for resellers.