AI Conductor

AI Solution-Hub

Systematic AI Solution Management

AI Solutions registered through ALO can be continuously managed, updated, and expanded. AI Conductor supports the efficient operation of AI Solutions, providing users with tools for ongoing management and updates to ensure the solutions remain up-to-date. Furthermore, AI Solutions can be applied flexibly, allowing rapid adaptation to changing requirements aligned with the goals of service operations.

Cloud AI Model Training Optimized for User Workloads

AI Conductor provides a flexible solution optimized for cloud-based AI model training. It takes into account the user’s business context and operational environment, allowing the selection of the most efficient training setup based on training frequency. From cost-optimized large-scale training using Kubeflow to lightweight and flexible small-scale training via SageMaker, AI Conductor maximizes both cost-efficiency and operational convenience according to the user’s workload.

A Tailored Platform for Your AI/ML/LLM Journey

AI Conductor offers a flexible and scalable integrated AI operations environment tailored to your diverse needs. For those pursuing MLOps, the platform supports a structured end-to-end workflow—from model development and training to registration—through ALO-ML. For those focused on LLMOps, ALO-LLM enables the easy development and management of large language model–based Service APIs. By reducing the complexity of AI development and operations, AI Conductor empowers you to implement AI quickly and reliably, in the way that best suits your goals. What kind of AI does your business need?

All-in-One AI Solution Management

AI Conductor provides an integrated platform for managing the entire AI lifecycle, including version control of AI Solutions and Models, training history tracking, and resource monitoring. It enables both developers and operators to manage every stage—from data preparation to AI model deployment—within a single unified system, without relying on external third-party tools. As a result, development speed increases, operational stability improves, and the organization's overall AI capabilities are strengthened in a systematic and scalable manner.

Architecture

Architecture Optimized for MLOps/LLMOps

AI Conductor offers an optimized architecture designed to help users easily implement MLOps or LLMOps environments. Developers can securely store and systematically manage AI models or LLM-based Service APIs built in their own development environments within a centralized repository, enabling a scalable and sustainable AI operations framework. In addition, AI Conductor provides tools to efficiently manage and optimize the compute resources required for model training. This allows teams to focus on AI development and operations without the need for costly infrastructure, creating an ideal environment for streamlined and cost-effective AI lifecycle management.