White-Label AI Analytics Platform for Resellers

We design and deploy artificial intelligence systems: from prototype to production-ready solutions. Our team combines expertise in machine learning, data engineering and MLOps to make AI work not in the lab, but in real business.
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White-Label AI Analytics Platform for Resellers
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Developing a White-Label AI Analytics Platform for Resellers

White-label AI analytics is a ready-made product that a reseller (agency, consulting company, or SaaS vendor) sells to its clients under its own brand. The reseller doesn't develop the AI functionality itself, but rather integrates the ready-made solution into its product.

Architecture for the reseller model

Технологический провайдер (мы)
    ↓ [White-Label SDK + API]
Реселлер (агентство, ISV)
    ↓ [Branded platform]
Конечные клиенты реселлера

Three levels of customization:

  1. Branding only: The reseller changes the logo, colors, and domain. Minimal effort.
  2. Embedded widgets: The reseller embeds individual components (dashboards, chatbots) into their product via iframe or JavaScript SDK.
  3. Full API integration: The reseller builds their own UI on top of our API. Maximum flexibility.

JavaScript SDK for embedded analytics

// Клиентский SDK для реселлера
class AIAnalyticsWidget {
  constructor(config: WidgetConfig) {
    this.apiKey = config.apiKey;
    this.tenantId = config.tenantId;
    this.theme = config.theme;
    this.container = config.container;
  }

  async renderDashboard(options: DashboardOptions) {
    const { data, insights } = await this.fetchAnalytics(options);

    const widget = document.createElement('div');
    widget.innerHTML = await this.renderTemplate('analytics-dashboard', {
      data, insights, theme: this.theme
    });

    this.container.appendChild(widget);
    this.applyCustomTheme(this.theme);
  }

  private applyCustomTheme(theme: Theme) {
    // Инъекция CSS переменных для брендинга
    const style = document.createElement('style');
    style.textContent = `
      .ai-analytics-widget {
        --primary-color: ${theme.primaryColor};
        --font-family: ${theme.fontFamily};
        --logo-url: url('${theme.logoUrl}');
      }
    `;
    document.head.appendChild(style);
  }
}

// Использование реселлером
const analytics = new AIAnalyticsWidget({
  apiKey: 'reseller_key_...',
  tenantId: 'client_123',
  container: document.getElementById('analytics-container'),
  theme: {
    primaryColor: '#E67E22',  // Цвета бренда клиента
    fontFamily: 'Roboto, sans-serif',
    logoUrl: 'https://client.com/logo.png'
  }
});

analytics.renderDashboard({ period: '30d', metrics: ['revenue', 'churn'] });

Reseller Management Portal

# Реселлер управляет своими клиентами (sub-tenants)
class ResellerPortal:
    async def create_client(self, reseller_id: str,
                             client_data: ClientCreateRequest) -> Client:
        # Проверка квот реселлера
        reseller = await self.db.get_reseller(reseller_id)
        if reseller.active_clients >= reseller.max_clients:
            raise QuotaExceededError("Client limit reached for your plan")

        client = await self.db.create_client({
            'reseller_id': reseller_id,
            'name': client_data.name,
            'plan': client_data.plan,
            # Наценка реселлера поверх базового тарифа
            'pricing_multiplier': reseller.markup_multiplier,
            'allowed_features': self.get_plan_features(client_data.plan)
        })

        # Выдача API ключей клиенту
        api_key = await self.generate_scoped_api_key(
            client.id, scope=['analytics:read', 'ai:inference']
        )

        return client, api_key

    async def get_reseller_revenue_report(self, reseller_id: str,
                                          period: str) -> dict:
        usage = await self.billing.get_usage(reseller_id, period)
        return {
            'total_client_revenue': usage.total_billed,
            'platform_cost': usage.total_cost,  # Наш тариф для реселлера
            'reseller_margin': usage.total_billed - usage.total_cost,
            'top_clients': usage.top_clients_by_usage[:10]
        }

SLA Management for Resellers

The reseller is responsible for the SLA to its customers, and the provider is responsible for the SLA to the reseller. Liabilities are divided as follows:

  • The provider guarantees 99.95% API uptime
  • The reseller independently establishes SLA with clients (usually 99.5-99.9%)
  • Reseller monitoring dashboard shows current status, incidents, and rolling uptime

Business model: The reseller pays us a wholesale rate (e.g., $5 for 1M tokens) and sells to customers for $15—a 67% margin. Development time for a full reseller platform: 4-5 months.