Gunjo · Business Intelligence for the AI Era
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Serverless Multi-Cloud Cost Optimization & Selection Proxy

1) Collect optimization commissions based on a share of cloud bill savings; 2) Cross-cloud selection and migration consu

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Key Fields

FIELD STAMPS
IndustryCloud Computing
RegionMulti-region
ScaleMid-size
ChannelOnline

📌 Background

In 2026, competition among serverless platforms—AWS Lambda, Google Cloud Run, and Tencent Cloud SCF—has intensified. When Chinese companies expanding overseas deploy functions to Singapore, unit computing prices are about 25% higher than the US East benchmark (measured by service providers), while Tokyo and Hong Kong are both 20% higher. Under the same scenario, Cloud Run's default configuration is 87% more expensive than Lambda and SCF is about 10% cheaper, but multi-cloud billing is still difficult to audit independently. This creates an entry point for dedicated optimization and selection proxy services.

👤 Target Customers

Mid-sized enterprises and SaaS developers using a serverless architecture

💰 Revenue Streams

1) Collect optimization commissions based on a share of cloud bill savings; 2) Cross-cloud selection and migration consulting fees; 3) MSP agent discount price differences from cloud providers.

🧮 Cost Structure

R&D and maintenance of multi-cloud pricing monitoring tools, cloud architect labor, customer acquisition and marketing

🛡️ Moat

Real-time multi-cloud pricing database, cross-vendor migration automation toolchain, cloud vendor MSP qualification binding

🔑 Keys to Success

  • Real-time multi-cloud pricing monitoring and early warning system
  • Construction of cross-vendor migration automation toolchains
  • Deep binding with cloud vendor MSP qualifications

⚠️ Risks

  • Frequent pricing adjustments by cloud vendors causing pricing data obsolescence
  • Loss of demand due to customers building internal FinOps teams

🏢 Cases

  • Qicaiyun
  • Cloud Account

📊 SWOT Analysis

Strengths

  • High barrier to entry for multi-cloud pricing data with deep first-mover accumulation
  • Measurable and verifiable optimization results with strong customer loyalty

Weaknesses

  • Reliance on cloud vendor API stability with high risks from interface changes
  • Ongoing price wars among major tech giants squeezing revenue-sharing margins

Opportunities

  • AI inference workloads accelerating migration to serverless, expanding market demand
  • Multi-cloud selection services in emerging regions like Southeast Asia still vacant

Threats

  • Cloud vendors' proprietary FinOps tools cannibalizing the third-party market
  • Trend toward pricing transparency compressing proxy profits