Artificial intelligence (AI) startup Liner said on the 28th that it launched a research-dedicated AI service, "Liner Scholar." It is a workflow tool that supports the entire research process based on global scholarly knowledge.
Liner Scholar comes with a massive scholarly databases (DB) of 460 million records worldwide. That is twice the size of the industry standard, which typically offers 200 million papers. The company said it goes beyond an AI search engine that finds information and answers to present an "AI co-researcher" system, where AI interacts with researchers in real time to co-create outcomes.
Liner explained, "We separated and spun off the existing 'scholarly search mode' into a standalone domain to provide a highly advanced workflow optimized for professional researchers through 'Liner Scholar.'"
Liner Scholar goes beyond merely summarizing information and delivering it, offering an "agentic research" function that understands research context and makes its own judgments to act, helping researchers break free from repetitive search tasks and focus on the essence of their work.
In Liner Scholar with agentic research applied, research agents that were previously provided individually—such as hypothesis generation and citation recommendations—are integrated within a project. Without having to select or run agents one by one, users can, through conversation with AI alone, carry out processes requiring higher-order intellectual judgment, including ▲multifaceted comparative analysis of prior research findings ▲multidimensional evidence discovery for hypotheses ▲validity checks of experimental design.
Liner Scholar also supports immediate use in research not only of publicly available scholarly data but also of individual research materials that users personally hold, such as unpublished drafts, experimental data, and references, by allowing uploads to a project. When users upload materials, Liner Scholar accurately grasps the context of the documents and reflects the user's requirements in the content.
Liner Scholar officially supports four languages: Korean, English, Japanese, and Chinese. In particular, considering the nature of research that requires analyzing massive papers and managing complex projects, it provides a tailored interface for the desktop web environment.
Kim Jin-woo, CEO of Liner, said, "Liner aims to satisfy both user experiences: 'popular AI search' that streamlines the information seeking everyone faces daily, and 'professional research agents' for researchers who must create new knowledge," adding, "Liner Scholar will be the key driving force of the 'Vibe Research' era, where researchers seamlessly interact with AI and deliver results without cumbersome learning."