Government

[Gyeonggi Center for Creative Economy & Innovation] Adopting a Platform to Improve AI Development Efficiency for Startups

Gyeonggi Center for Creative Economy & Innovation adopted an integrated AI development platform to help startups reduce early trial and error in AI development, with a development environment many can use at once and a support system for advancing their AI.

CheetahMLOps

A Tailored AI Development and Advancement Environment for Startups

The center needed an easy-to-use AI development environment so startups could begin model training and development more easily from the earliest stages. It also required a multi-tenant environment that many startups could use at once, and a consulting system to help with challenges in the AI advancement stage.

Securing AI Development Accessibility and Support for Advancement

The key challenge was to reduce early development burdens for startups, let them develop AI models in independent environments, and support them through the advancement stage.

  • AI development environment: An AI training and development environment that reduces early trial and error

  • Concurrent access: An environment many startups can access at once and use independently

  • AI consulting: Consulting to help with challenges in the AI advancement stage

Providing an Integrated AI Development Platform and Advancement Support for Startups

With Cheetah, we provided an easy and efficient AI training and development environment on a multi-tenant foundation, and offered selected companies consulting to improve the maturity of their AI products.

  • Integrated AI development environment: An easy and efficient AI training and development environment

  • Multi-tenancy: Many users can set up independent development environments at the same time

  • AI Pilot consulting: Supported selected companies in advancing AI models and improving product maturity

Stronger AI Development Efficiency and Advancement for Startups

Startups can now train and develop AI models more easily, with multiple users working at the same time in their own independent environments. Through the AI Pilot program, some companies also improved model accuracy and reduced development time and costs, building a foundation for advancing their AI.

  • Less early development burden: Model training and development with less early trial and error

  • Concurrent development environments: Many startups can develop at once in independent environments

  • Stronger support for AI advancement: Consulting helped improve model accuracy and development efficiency

  • Are you curious about an enterprise AI integration platform? → Cheetah

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