SES AI Corporation (SES) has rolled out a major upgrade to its Molecular Universe platform, introducing a powerful new feature called “Deep Space.” This advancement aims to accelerate research and development timelines for battery innovation by enabling highly specialized, senior scientist-level insights through an AI-driven tool.

Released under the MU-0.5 version, Deep Space expands on the platform’s core capabilities by leveraging a team of language model agents to analyze battery-related inquiries and return detailed responses in as little as 10 to 20 minutes. Traditionally, battery product development can take 6 to 8 years through conventional human research. SES AI’s new approach shrinks that timeline dramatically, offering customers across the battery industry a faster, more cost-effective route to commercial solutions.

This update is particularly geared toward large-scale battery makers, material suppliers, and automakers seeking to accelerate product launches and reduce trial-and-error costs. Deep Space builds on the previously launched “Ask” feature of Molecular Universe, enhancing it with a multi-agent architecture capable of recommending detailed electrolyte formulations, evaluating materials, and ranking outcomes by metrics such as novelty, cost, or performance.

Molecular Universe, originally launched just two months ago, has already seen adoption by researchers at companies, universities, and national labs around the world. The platform’s growing popularity stems from its ability to reduce R&D costs and time while expanding access to domain-specific knowledge in battery chemistry and engineering.

Other new MU-0.5 features include a visual molecule sketch pad for exploring molecular similarities, and expanded language support for Mandarin and Korean alongside English.

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