Gunjo · Business Intelligence for the AI Era
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Enterprise-Grade Token Pool Volume-Price Hybrid Brokerage Platform

1) Procuring model tokens in bulk at discounted prices and reselling them as enterprise token packages at a markup; 2) C

MODEL

Key Fields

FIELD STAMPS
IndustrySaaS / Enterprise Software
RegionMulti-region
ScaleMid-size
ChannelOnline

📌 Background

After enterprises simultaneously integrated multiple large language models, three major pain points emerged: decentralized interfaces, opaque pricing, and difficult usage control. In 2026, DeepSeek's API price hike further pushed the industry from 'pay-per-use' to 'pool-based procurement'. Existing vendors convert input tokens of different models into a unified baseline unit for shared balance, offering three tiered pricing plans based on public platform pricing: Basic at 1,520 CNY/month for 1.6 billion blended tokens, and Max at 13,300 CNY/month for 14 billion blended tokens.

👤 Target Customers

Medium-to-large enterprises that need to integrate multiple large language models simultaneously and are cost-sensitive, as well as IT managers who need to centrally manage multi-team usage.

💰 Revenue Streams

1) Procuring model tokens in bulk at discounted prices and reselling them as enterprise token packages at a markup; 2) Charging tiered unit prices for usage exceeding the package limits; 3) Subscription fees for enterprise management features (seat management, usage control, and bill allocation).

🧮 Cost Structure

Bulk API procurement costs from multiple model providers, R&D of token routing and scheduling engines, platform operations and security compliance, and customer onboarding and success support.

🛡️ Moat

Bulk procurement discount barriers, multi-model intelligent routing and cost optimization algorithms, and deep enterprise management capabilities (200-seat management, usage allocation, and department cost-sharing).

🔑 Keys to Success

  • Ability to negotiate and lock in bulk procurement discounts
  • Multi-model intelligent routing and cost-optimal matching algorithms
  • Depth and usability of enterprise management features

⚠️ Risks

  • Continuous price cuts by upstream models leading to the disappearance of price spreads
  • Large cloud platforms launching native multi-model management features
  • Risk of token inventory backlog

🏢 Cases

  • PPIO launched an enterprise token plan, providing access to mainstream flagship models at up to a 40% discount and supporting 200-seat management.

📊 SWOT Analysis

Strengths

  • Aggregated procurement reduces the customer's single-model integration cost, enabling access to mainstream flagship models at up to a 40% discount.
  • A single integration allows calling multiple models, reducing enterprise integration complexity.

Weaknesses

  • Thin gross margins in the middle layer; price spreads compress when upstream providers lower prices.
  • Limited bargaining power against upstream model suppliers.

Opportunities

  • Escalating fluctuations in model costs create strong enterprise demand for multi-model hedging and cost control.
  • Following price hikes by DeepSeek and others, customers are more willing to dilute costs through brokerage platforms.

Threats

  • Cloud vendors directly offering similar multi-model aggregation and management capabilities.
  • Significant price cuts from upstream models diminishing the value of the middle layer.