"Simultaneous Lithium and Sodium Battery Development Support"... SES AI Launches 'Molecular Universe 3.0'

Agent-Based AI Platform “StarSeeker” Enhances Capabilities
Reduces Time for Battery Materials Discovery, Design, Evaluation, and Verification

SES AI, an artificial intelligence (AI)-powered developer and manufacturer of high-performance lithium metal and lithium-ion batteries, announced on May 12, 2026, the launch of its latest AI-based battery materials development platform, “Molecular Universe (MU)-3.0.”

The core of Molecular Universe 3.0 is the agent-based AI platform “MU-StarSeeker.” It is designed to enhance development efficiency and speed by integrating the segmented research and development processes—ranging from materials discovery to design, evaluation, and verification—into a skill-based automated workflow.

Through this platform, users can automate multistep tasks such as molecular exploration, composition design, property evaluation, and performance verification, efficiently identifying top candidates that meet target performance criteria. According to the company, enterprise clients can also build custom skills that reflect proprietary expertise and specific research procedures, thereby further automating and standardizing their entire research and development process.

Additionally, Molecular Universe 3.0 expands its support beyond existing lithium chemistries to include sodium chemistries, broadening its applicability across various fields, including energy storage systems (ESS).

Furthermore, by implementing a closed-loop system that connects automated laboratories with both dry and wet data, the platform combines computation-based predictions with actual experimental verification, improving the efficiency of materials discovery and performance validation.

Molecular Universe 3.0 is available in both cloud and on-premises formats, designed to meet enterprise demands for scalability, speed, security, and data control.

Qichao Hu, founder and CEO of SES AI, stated, “Molecular Universe 3.0 represents the biggest advancement since the release of Molecular Universe 0 one year ago. It enables more efficient management of complex materials development processes, and we expect it will help shorten research, development, and commercialization timelines across diverse industries such as drones, robotics, ESS, and mobility.”

This content was produced with the assistance of AI translation services.