SES AI

Join us on December 10th at AABC to learn more about 𝐌𝐔-𝐢𝐧-𝐚-𝐁𝐨𝐱! For clients needing maximum security, performance, and seamless integration, MU-in-a-Box offers a fully on-prem, local MU environment where every computation runs on your own systems—your data never leaves your infrastructure. At AABC, you’ll be among the first to see how the system works in practice—how it searches, formulates, designs, predicts, and accelerates materials breakthroughs end-to-end. Learn more: https://lnkd.in/gCTkAbF9 #AI4Material #Battery #Automotive Cambridge EnerTech

Join us on December 10th at AABC to learn more about 𝐌𝐔-𝐢𝐧-𝐚-𝐁𝐨𝐱! For clients needing maximum security, performance, and seamless integration, MU-in-a-Box offers a fully on-prem, local MU environment where every computation runs on your own systems—your data never leaves your infrastructure. At AABC, you’ll be among the first to see how the system works in practice—how it searches, formulates, designs, predicts, and accelerates materials breakthroughs end-to-end. Learn more: https://lnkd.in/gCTkAbF9 #AI4Material #Battery #Automotive Cambridge EnerTech

Join our live demo on October 20 to explore the latest developments in 𝗠𝗼𝗹𝗲𝗰𝘂𝗹𝗮𝗿 𝗨𝗻𝗶𝘃𝗲𝗿𝘀𝗲 𝟏.𝟎 (𝗠𝗨-𝟏) release. MU-1 is a quantum leap from earlier versions. It provides complete end-to-end material discovery capability, including literature research and solution recommendation (“𝗔𝘀𝗸”), molecule search (“𝗠𝗮𝗽” and “𝗦𝗲𝗮𝗿𝗰𝗵”), formulation search (“𝗙𝗼𝗿𝗺𝘂𝗹𝗮𝘁𝗲”), and cell performance prediction (“𝗣𝗿𝗲𝗱𝗶𝗰𝘁”). MU-1 has the potential to accelerate battery material discovery from years to just tens of minutes. Due to the popularity of Enterprise tier, MU-1 now offers 3 sub tiers within Enterprise, providing greater service at greater value. Molecular Universe has already helped several Enterprise clients to address their battery challenges, including: 𝟬𝟭 𝗘𝗻𝗲𝗿𝗴𝘆 𝗦𝘁𝗼𝗿𝗮𝗴𝗲 Improving low temperature cycle life of LiFePO4 Li-ion cell 𝟬𝟮 𝗗𝗿𝗼𝗻𝗲𝘀 & 𝗥𝗼𝗯𝗼𝘁𝗶𝗰𝘀 Improving safety and energy density of high content Silicon anode Li-ion cells 𝟬𝟯 𝗘𝗩 Improving cycle life of low and medium content Silicon anode Li-ion cell 𝟬𝟰 𝗖𝗼𝗻𝘀𝘂𝗺𝗲𝗿 𝗘𝗹𝗲𝗰𝘁𝗿𝗼𝗻𝗶𝗰𝘀 Improving high voltage stability of LiCoO2 Li-ion cell Join us live for a deep dive into the latest updates! 📝 𝐑𝐞𝐠𝐢𝐬𝐭𝐞𝐫 𝐡𝐞𝐫𝐞: https://lnkd.in/ggEF5Yky

We’re heading to The Battery Show! Don’t miss the panel discussion and connect with our team on-site - Shoshanah (Shana) Tischler and Scott Carlyle - to learn more about our products and battery innovations. More details on the panel here: https://lnkd.in/gXUrAWxe #ESS #Energystorage #AI4battery #BatteryShow

We’re at RE+ 2025 next week, 𝗕𝗼𝗼𝘁𝗵 𝗩𝟲𝟲𝟰𝟵—come explore our latest hardware and AI integrations! Drop in, or set up a meeting at partnership@ses.ai #ESS #BESS #EnergyStorage #RE+ #AIforEnergy

Today, we’re taking a strategic leap into the 𝗘𝗦𝗦 𝗺𝗮𝗿𝗸𝗲𝘁 with the acquisition of 𝗨𝗭 𝗘𝗻𝗲𝗿𝗴𝘆, a global ESS provider with a strong track record of deploying over 500 MWh in 60+ countries with zero safety incidents, to respond to the dynamic growth of AI data centers. In the next phase of AI evolution, 𝗘𝗦𝗦 𝗯𝗲𝗰𝗼𝗺𝗲𝘀 𝘁𝗵𝗲 𝗳𝗹𝗮𝗴𝘀𝗵𝗶𝗽 𝗼𝗳 𝗽𝗵𝘆𝘀𝗶𝗰𝗮𝗹 𝗔𝗜— along with robotics. This marks a pivotal moment: AI is evolving from purely software-based solutions to physical AI—real-world solutions integrated with hardware. Leveraging UZ Energy’s hardware, real-world data, and global channels, 𝗠𝗼𝗹𝗲𝗰𝘂𝗹𝗮𝗿 𝗨𝗻𝗶𝘃𝗲𝗿𝘀𝗲 platform is advancing into a fully integrated AI software + hardware solution, enabling the delivery of long cycle life, cost-effective ESS. 𝗥𝗲𝗮𝗱 𝘁𝗵𝗲 𝗣𝗿𝗲𝘀𝘀 𝗥𝗲𝗹𝗲𝗮𝘀𝗲: https://lnkd.in/gG5xddrF 𝗚𝗼 𝘁𝗼 𝗠𝗼𝗹𝗲𝗰𝘂𝗹𝗮𝗿 𝗨𝗻𝗶𝘃𝗲𝗿𝘀𝗲: https://lnkd.in/gCNKjecx #ESS #AI #Energystorage #BESS #Datacenter #MolecularUniverse

AI4Battery is clearly the standout theme at this year's The Battery Show Asia. With the industry shifting fast, AI has become a strategic pillar and key enabler of materials innovation and intelligent battery systems — the forces propelling SES AI’s Molecular Universe.  🔗 𝗩𝗶𝘀𝗶𝘁: mu.ses.ai 𝗟𝗲𝗮𝗿𝗻 𝗺𝗼𝗿𝗲: https://lnkd.in/gVH3cj3E #AI4Battery #MolecularUniverse #TheBatteryShowAsia 2025 #MobilityTech

𝗧𝗼 𝘁𝘂𝗿𝗯𝗼𝗰𝗵𝗮𝗿𝗴𝗲 𝗯𝗮𝘁𝘁𝗲𝗿𝘆 𝗥&𝗗 𝗳𝗿𝗼𝗺 𝘆𝗲𝗮𝗿𝘀 𝘁𝗼 𝗺𝗶𝗻𝘂𝘁𝗲𝘀? That’s exactly what our new leap forward—𝗗𝗲𝗲𝗽 𝗦𝗽𝗮𝗰𝗲—is designed to do. Powered by a cutting-edge multi-agent model (far beyond our popular 'Ask' feature), Deep Space—a new agentic feature under 𝗠𝗨-0.5—was purpose-built for deep, senior scientist-level battery research. ⚡ Built for focused, intensive discovery — not just to satisfy curiosity, but to help you develop real, commercial battery innovations. ⚡ Designed for battery makers, materials producers, and automakers ready to scale faster. ⚡ Recommends optimized electrolyte formulations ranked by performance, novelty, cost—or your unique priorities. ⚡ Cuts months or even years of trial-and-error to just tens of minutes. 𝗔𝗹𝘀𝗼 𝗻𝗲𝘄 𝗶𝗻 𝗠𝗨-0.5: 🧪 Molecule sketch pad for finding “friend” molecules by similarity 🌐 Multilingual support now includes Mandarin and Korean Read more: https://lnkd.in/g2NZgrjT The future of battery innovation is here — and it’s moving faster than ever. #BatteryTech #AI #Innovation #DeepTech #Electrification #LLM #R&D #MU0

We’re honored to have our latest milestone recognized, with our 𝗠𝗮𝗽 𝗼𝗳 𝘁𝗵𝗲 𝗠𝗼𝗹𝗲𝗰𝘂𝗹𝗮𝗿 𝗨𝗻𝗶𝘃𝗲𝗿𝘀𝗲 featured as the cover story by ECS - The Electrochemical Society. While many talk about AI for batteries, SES AI has been delivering - with a LIVE, actively used platform driving real-world progress. With 𝗠𝗼𝗹𝗲𝗰𝘂𝗹𝗮𝗿 𝗨𝗻𝗶𝘃𝗲𝗿𝘀𝗲 𝟬.𝟱 coming soon, our commitment to integrating domain leadership with the latest AI technologies will be demonstrated by delivering more powerful functionalities and enhanced models enabling next-gen battery innovation. ➤ 𝗧𝗿𝘆 𝗠𝗼𝗹𝗲𝗰𝘂𝗹𝗮𝗿 𝗨𝗻𝗶𝘃𝗲𝗿𝘀𝗲:  https://lnkd.in/gefPaJRP 📑 𝗙𝘂𝗹𝗹 𝗶𝘀𝘀𝘂𝗲: https://lnkd.in/gzgZ9VVH Yumin Zhang, Daniel Hannah, Adam Atanas, Qichao Hu, Kang Xu (许康), Gyuleen Park, Bin Liu Hong Gan Vignesh Prabhakar Dan Walsh Joah Han #Ai4Battery #Electrolytes #Discovery #AI4Science Battery Industry

Try the "ASK" feature in Molecular Universe. Here is one example using the Enterprise tier, which comes with one of the most advanced battery-specific reasoning models—much deeper than the models used in the research tier. A different level of depth — see how this answer compares to other LLMs. 🧪 Question: Recommend 10 additives good for SEI formation in Li-ion batteries with silicon anode? Check out Molecular Universe here at https://lnkd.in/gefPaJRP — more accurate, context-aware, and built for real research. #BatteryTech #ResearchTools #AIForScience #MaterialsDiscovery #LLM