Korea-operated
Local contracts, operations and data accountability
01BUSINESS BUILD05
Founder-led · Product Alpha operationalPRODUCT + INFRA + ENTERPRISE AI
FOUNDER-LED · KOREA ENTERPRISE AI INFRASTRUCTURE
We are building the operating company that makes enterprise AI actually work.
SR AI Fabric is not a repackaged Chinese-model marketplace. It productizes model selection, accounts and policy, data control, usage and billing, RAG/agents, dedicated GPU and Korean local operations into one Enterprise AI Operating Layer.
PRODUCT ALPHA
Console, portal, gateway, billing and RAG/agent operating layer built
KRW 7B
Internal Capability Base of existing SR capacity
4 ENGINES
Gateway · Adoption · RAG/Agent · Dedicated AI
8 SYSTEMS
Core stack required to operate enterprise AI
02WHY THIS COMPANY05
Model access is abundant. Enterprise operations are not.
DeepSeek, Qwen, GLM, MiniMax and other models are already globally accessible. The moat is therefore not the model list; it is the Korea-operated company that owns account, budget, security, data, workflow and dedicated-infrastructure responsibility.
Model-neutral
China and global AI selected by workload
Enterprise-first
Solve integration, security and operations
Demand before GPU
Validate customers and usage before infrastructure
03CAPABILITY BASE05
We manage existing SR capacity as a KRW 7B internal Capability Base.
KRW 7B is an internal strategic replacement/capability benchmark, not an audited or third-party certified company valuation.
KRW 2.0B
Digital / AI Build
KRW 1.2B
Cross-border BD
KRW 1.0B
Product / IP
KRW 1.1B
Enterprise Execution
KRW 0.8B
Data / Operations
KRW 0.9B
Founder / Team
04PRODUCT & REVENUE05
Systems the company must actually own
This is the recurring-revenue product stack—not just a landing page. Product Alpha connects the operating console, customer portal, knowledge/RAG, gateway, usage/billing, agent approvals and incident/alert control. External provider calls remain gated by credentials, commercial rights and activation.
01
AI Gateway
OpenAI-compatible API, adapters, fallback
02
Policy & Routing
Cost, latency and governance routing
03
Org / RBAC / Budget
Org, team, role and budgets
04
Usage & Billing
Token/GPU metering and billing
05
RAG & Agent
Enterprise knowledge and agents
06
Audit & Data Control
Logs, policy and data boundary
07
Dedicated Endpoints
Private model, GPU and SLA
08
Partner Adapter Layer
Replaceable model/cloud/IDC supply
Four revenue engines operate the business.
Gateway SaaS
Platform fee + usage
AI Adoption
Assessment, integration and operating design
Private RAG / Agent
Build + managed service
Dedicated AI
Monthly minimum commitment
05EXECUTION & IR05
Build the business first. Capital follows execution.
The 12-month sequence is Build → Validate → Productize → Scale. We do not buy GPUs first; infrastructure expands after design partners, paid PoCs, recurring usage and dedicated commitments are proven.
Q1BUILDGateway MVP · adapters · design partners
Q2VALIDATEPaid PoCs · RAG/agent · recurring API usage
Q3PRODUCTIZEBilling · policy · audit · vertical packages
Q4SCALE10–15 paid enterprises · 3+ dedicated · demand-led GPU
INVESTMENT FRAMEWORK
Strategic Investment Framework
RMB 30M
CAPITAL SCENARIO
30%
STRATEGIC INVESTOR
70%
FOUNDER-LED
The current strategic-investment review scenario is RMB 30M for 30%, with a 70% Korea founder-led structure. Final terms depend on the investing entity, commercial rights, technology resources, compliance and due diligence.
SR AI Fabric has implemented a Product Alpha control plane spanning console, portal, gateway, billing and RAG/agent operations. Live external-provider traffic remains gated by credentials, commercial rights and activation. KRW 7B is an internal Capability Base, not an audited or certified company valuation. Investment terms remain non-binding until diligence and definitive agreements.