Kakao Enterprise provides an integrated AI‑cloud platform that combines scalable compute, AI services, and search capabilities into a single environment. Its hybrid GPU‑as‑a‑Service offers on‑demand high‑performance GPU resources without upfront hardware costs, while a data‑centric console streamlines provisioning, monitoring, and cost optimization for enterprises and public organizations seeking to accelerate AI and digital transformation projects.
Funding
$175.8M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Enterprises and public organizations often struggle to adopt advanced AI and cloud technologies due to fragmented services, limited on‑premise compute resources, and high operational costs, which hampers digital transformation and data‑driven decision making.
Solution
Kakao Enterprise delivers an integrated AI‑cloud platform that combines scalable compute, AI services, and search capabilities into a unified environment. The platform offers hybrid GPU‑as‑a‑Service (GPUaaS) to provide on‑demand high‑performance GPU resources without large capital expenditures. A data‑centric management console streamlines resource provisioning, monitoring, and cost optimization, enabling rapid deployment of AI models and analytics workloads. By leveraging Kakao’s existing AI research and cloud infrastructure, the solution reduces time‑to‑value for AI projects and supports edge‑to‑cloud scenarios for diverse industry use cases.
Target Audience
Primary customers are midsize to large enterprises, public sector agencies, and developer teams that require AI‑enabled cloud infrastructure and streamlined management for digital transformation initiatives.
Features
- Hybrid GPUaaS delivering elastic GPU capacity for AI training and inference, eliminating the need for upfront hardware purchases
- Integrated AI services (e.g., language models, recommendation engines) built on Kakao’s proprietary AI Lab research
- Data‑focused cloud console with customizable dashboards for resource usage, cost tracking, and security controls
- Edge cloud testbeds and regional deployments to meet latency‑sensitive and compliance‑driven requirements
- Seamless integration of search and analytics APIs, enabling enterprise‑grade information retrieval across structured and unstructured data
- Support for micro‑frontend architectures (MFE) and developer tools to accelerate application modernization