Lymeric is an early-stage, research-driven startup working on tools that combine AI, computational chemistry, and experimental knowledge to support materials R&D teams.
Lymeric builds AI systems for materials R&D teams working in data-scarce, experiment-heavy domains.
Materials development often requires costly trial-and-error across structure design, simulation, synthesis, testing, and iteration. Lymeric combines physics-informed machine learning, computational chemistry, and experimental domain knowledge to help researchers explore candidates more efficiently and make better use of accumulated research data.
Our near-term focus is on modular, high-value R&D tasks such as property prediction, candidate screening, and research workflow assistance. Over time, these modules become the foundation for a Sim-to-Lab system: AI workflows that connect material design, simulation, experiment planning, lab results, and model updates in a closed loop.
Lymeric’s long-term vision is to make advanced materials intelligence accessible to more R&D teams — from focused prediction tasks today to AI-assisted Sim-to-Lab workflows in the future.
Lymeric is developing products for researchers working across scientific knowledge, materials data, and experimental workflows.
In parallel, Lymeric is developing materials AI modules for property prediction, candidate screening, and Sim-to-Lab workflows.
Lymeric is developing domain-specific AI modules for materials R&D, including:
Lymeric is built by a core team with backgrounds across experimental chemistry, computational chemistry, AI, and research.
Sukho brings a background in experimental chemistry, biochemistry, and research process design, with experience translating technical research problems into product and business strategy.
Jihwan’s work spans large-scale models, reinforcement learning, graph neural networks, and scientific AI systems, with a focus on building models that can reason over structured scientific and materials data.
Lymeric also works with part-time contributors, contract engineers, and scientific advisors across AI, computational chemistry, materials science, software engineering, and industrial R&D.
Our Chief Engineer contributes computational chemistry, materials modeling, and AI-enabled research workflows, and plans to join full-time later this year. Our broader advisor and contributor network supports model validation, domain-specific workflows, and commercialization pathways for materials AI.
Lymeric (주식회사 리메릭)
Registered Location: 대전시 유성구 대학로 99 대전팁스타운
General: contact@lymeric.com
At this stage, we are selectively discussing pilot projects and partnerships. Feel free to reach out by email for more information.