Automatic Optimal Path Selection to Solve Surging Compute Costs for Enterprises

The Problem

In 2024 many Korean companies saw their compute bills from overseas providers increase 4-7 times. Existing tools are English-first, lack deep integration with domestic clouds and ignore data residency regulations. Development teams cannot forecast spend, budgets are exceeded, and CFOs lose control.

Why Now

As shown by Anthropic's pricing warnings, companies are shifting from experimentation to cost control. The government is dramatically expanding TIPS and the AI Semiconductor Fund, while the 2025 AI Basic Act will mandate impact assessments. With strong domestic model capabilities, this is the perfect window to build a deeply localized optimization system.

Recommended Talent

Service Planner & PM (MVP scoping, metrics-driven prioritization, cost-saving experiments), Backend Engineer (multi-cloud API architecture, auth/logging/real-time routing), Frontend Engineer (real-time dashboard and forecasting UI), Full-stack Engineer (rapid MVP and cloud integrations), UI Engineer (accessible and maintainable cost monitoring design system).