SES AI Introduces Deep Space Agentic Capability in Molecular Universe MU-0.5
SES AI Corporation (NYSE: SES), a leader in AI-driven development of high-performance Li-Metal and Li-ion batteries, has launched an updated version of its Molecular Universe platform, MU-0.5. This release includes a new feature called Deep Space, a multi-agent AI system designed to accelerate battery research and development, drastically reducing the time needed to develop commercial products.
Deep Space acts as a team of large language model (LLM) agents that analyze complex battery-related questions and deliver responses at a senior scientist level. What traditionally takes years of research can now be achieved in as little as 10 to 20 minutes, speeding up product development and innovation cycles.
Fast, Focused Battery Research for Industry Leaders
Since its initial launch, Molecular Universe has gained traction among battery researchers in corporations, national laboratories, and universities worldwide. The platform offers quick access to extensive research insights, helping users avoid unnecessary patent filings, reduce trial-and-error costs, and limit the need for additional R&D hires.
Deep Space builds on this success by providing in-depth, targeted research capabilities. It is tailored for companies aiming to bring real commercial battery products to market faster. The feature is expected to be most valuable for battery manufacturers, electrolyte and cathode material producers, and automakers. Due to the computational resources required, access to Deep Space will be more limited compared to the standard Molecular Universe Ask feature.
Enhanced Features in MU-0.5
- Deep Space: A multi-agent AI model capable of recommending electrolyte formulations ranked by performance, novelty, cost, and other user-defined criteria.
- Rapid Turnaround: Standard Ask queries return answers in about 30 seconds; Deep Space queries take between 5 and 20 minutes.
- Molecule Sketch Pad: A new tool to help users identify molecules with similar properties more intuitively.
- Language Support: Expanded to include Mandarin and Korean, in addition to English.
Deep Space significantly reduces the trial-and-error phase in battery R&D, accomplishing in under an hour what could take a human scientist months or years. This acceleration can help companies refine their go-to-market strategies and stay competitive in the evolving battery industry.
About SES AI
Founded in 2012 and headquartered in Boston with operations across Asia, SES AI is developing the next generation of Li-Metal batteries for electric transportation on land and in the air. The company integrates advanced AI across its entire business—from research and development to manufacturing and battery health monitoring.
For more information, visit SES AI official website.
Forward-Looking Statements
This article contains forward-looking statements based on SES AI’s current expectations and assumptions. Actual results may differ due to various risks including market acceptance of the Molecular Universe platform, development timelines, supply chain challenges, regulatory risks, and competition. Readers should not place undue reliance on these statements, which reflect conditions as of the publication date.
For detailed disclosures, refer to SES AI’s filings with the Securities and Exchange Commission (SEC).
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