AI Works Targets 'Agent Reliability Assessment' Market… Launches AgentRigor - 벤처스퀘어

- Introduction of Service-Perspective Compliance Assessment… Shift in AI Agent Verification Paradigm - Supports both on-premises and cloud environments… Applicable to security industries such as finance and the public sector. As the adoption of AI agents spreads, the 'reliability verification' market is opening up in earnest. AI data and solution company AIWORKX (CEO Seok-Won Yoon) announced the official launch of its AI agent evaluation solution, 'AgentRigor'. AgentRigor complements the limitations of existing AI evaluation methods by going beyond simple response accuracy verification to comprehensively analyze behavior and risks in actual service environments. In particular, it is characterized by its expansion from content-unit evaluation to 'service-unit compliance evaluation.' Expanding beyond “correct answer” to evaluate “behavioral patterns” Existing AI evaluation methods focused on determining correctness based on benchmark datasets, which had limitations in that they failed to adequately reflect the diverse scenarios required in actual service environments. Furthermore, it has been pointed out that these methods failed to consider specific company goals or industry characteristics, and struggled to incorporate contextual information. AgentRigor addresses these issues by providing an evaluation framework that reflects industry-specific service contexts. It comprehensively analyzes the response methods and risks of AI agents across diverse fields such as telecommunications, finance, and healthcare, and enhances precision by utilizing proprietary Korean-specific evaluation data assets. Key features include quantitative verification of LLM response quality, safety assessment based on actual user scenarios, and support for compliance response based on accredited frameworks. It also provides various functions such as automatic test data generation, customization of evaluation metrics, result visualization, and report automation. The solution has already proven its effectiveness by being applied to an AI verification project at a major domestic IT service company and a beta test for a cosmetics platform. Through AgentRigor, enterprises can pre-assess risks before deploying AI services and enhance operational efficiency with automated verification pipelines. It also enables multi-model comparative evaluation and supports both on-premises and cloud environments, making it suitable for use in regulated industries. AI Works plans to pursue global standardization by adding features such as multi-conversation verification, workflow integration, and MCP compatibility in the future. Meanwhile, AgentRigor is scheduled to be unveiled as a live demo at 'AI Expo Korea 2026', which will be held at COEX starting May 6. You must be logged in to post a comment.