AI reliability technology startup Factagora (CEO Baek Woo-yeol) announced that it has secured investment from global accelerator Plug and Play.

Factagora is a company developing AI reliability verification infrastructure as its core technology to structurally resolve the hallucination and unclear evidence issues for which generative AI has been repeatedly criticized. The key to its technology is enabling AI to judge not only “what is true” but also “when it is true.”

David Kim, Director at Plug and Play headquarters, which participated in this investment, said, “In a rapidly changing AI era, reliability solutions have already become a core element commonly demanded by many global companies. Factagora has technology that can structurally solve AI hallucination and evidence issues through a time-based ontology approach,” adding, “We plan to actively connect Factagora’s ontology solution with a diverse range of global corporate partners and support it through to PoC and commercialization.”

Plug and Play is an accelerator that collaborates with more than 60 global corporate partners worldwide, and Factagora plans to use this investment as a springboard to expand PoC and business opportunities in the North American and European markets.

CEO Baek Woo-yeol stated, “Many companies want to adopt AI, but in actual operations they hesitate to use it because AI answers often have unclear grounds and do not match the relevant time frame. Factagora is focusing not on scaling models or data size, but on building an ontology infrastructure that constrains AI’s temporal relationships and factual relationships,” and added, “Based on Plug and Play’s global corporate network, we plan to expand partnership and validation opportunities with U.S. companies and accelerate market validation as an AI reliability solution that is actually used in high-trust industries.”

Based on this investment, Factagora plans to enhance DeepVerify, its real-time AI hallucination detection and blocking technology, and promote the development and standardization of reliability indicators that align with global regulations such as NIST and the EU AI Act. In particular, starting in 2026, it intends to begin full-scale global expansion in SaaS and API formats, focusing on industries such as legal, finance, ESG, and healthcare where the reliability of AI outputs is a key competitive factor.

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