AXLRator to Launch Enterprise AI Platform AXL-AEP on May 28

AI and AX solutions startup AXLRator is set to unveil its enterprise AX platform, AXL-AEP, on May 28. The launch event, themed 'One Platform, 8 Solutions: The Next-Generation Integrated AI Workflow Proposed by AXL-AEP,' will host 100 invited guests for a private, non-public event. The agenda includes a keynote from the CEO, a live demonstration of the platform, and a Q&A session.

AXL-AEP is engineered for enterprise use within segregated and air-gapped networks, making it suitable for financial, public, and large corporate sectors. A key feature is its ability to operate LLM-based workflows using internal data without risking leaks, even when external generative AI services are restricted. The platform's structure, built around a code assistant, supports the complete software development lifecycle (SDLC), from requirements analysis and design to implementation, testing, deployment, operation, and documentation.

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We designed the platform to operate generative AI-based development workflows even in air-gapped environments where external LLM use is difficult. We focused on applying AI in ways that align with corporate security needs and work settings.

AXLRator explained its '1+8+1' architecture: a single integrated platform combining eight solutions for specific business areas with a common base layer. These solutions include AXL-Lens, AXL-DocGen, AXL-Code (acting as the code assistant), AXL-Ops, AXL-Inspect, AXL-Shift, AXL-Q, and AXL-TaskManagement. The company highlighted domain ontologies for finance, manufacturing, and services, along with SI methodologies and legacy system integration as core platform elements. It also stated that the platform facilitates a transition to AI-driven development and operations while maintaining existing systems.

AXL-AEP specifically targets internal development and operations environments in organizations with stringent security requirements, such as financial institutions, public bodies, and large enterprises. CEO Lee Kang-jin stated, "We designed the platform to operate generative AI-based development workflows even in air-gapped environments where external LLM use is difficult." He emphasized focusing on applying AI in ways that align with corporate security needs and work settings. CTO Lee Sung-wook added, "We have implemented a development workflow connecting requirements definition to operation, centered on the code assistant," and confirmed a live demonstration at the event.

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We have implemented a development workflow connecting requirements definition to operation, centered on the code assistant. We plan to reveal its actual operation live at the event.