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Rescale is a cloud-based platform for computational engineering and R&D, that empowers engineers and researchers to accelerate discovery, testing, and optimization. We democratize access to the latest technologies that drive greater efficiency and competitiveness, including high performance computing, simulation, modeling, AI/ML, and digital twins. The majority of industry leaders worldwide use Rescale as the backbone of R&D, connecting the digital thread of new product innovation to develop products that enrich humanity, from autonomous vehicles to drug discovery. Rescale customers include 7 of the top 10 automotive companies and 3 of the top 6 life science companies. Rescale’s full-stack, open platform automates systems, data, and workflows into a user-centric experience, so customers can focus on innovation. Choose from 1000+ pre-installed applications for multiphysics simulation and AI/ML-assisted design exploration, including commercial, open-source, and custom software. We offer the largest global network of hyperscale and specialty cloud infrastructure to leverage the latest CPU, GPU, and other specialized architectures. Rescale is enterprise-ready to enable any size organization to achieve their digital transformation goals–with unified management that gives IT teams full visibility and control of hybrid-cloud operations. Rescale’s intelligent automation gives customers flexibility to improve performance and reduce costs of computing, while our enhanced security and compliance ensures industry-leading standards are met from end to end. Getting started is simple, flexible, and free to try. Our team of experts is ready to help you achieve your most ambitious engineering goals – schedule a demo today. Join us and help us build products that change the world: www.rescale.com/careers

At Undermind, we're building a search engine that can handle extremely complex questions. It’s geared at experts, like research scientists and doctors, who need to find very specific resources to solve high-stakes problems. We’ve rebuilt search from the ground up to address this. Our new approach employs high-quality LLMs to adaptively explore a database, mimicking how a human researcher carefully discovers information. This approach dramatically outperforms (by 10-50x) traditional keyword search and other modern AI-based retrieval methods. Our first target users are the 50 million researchers searching for scientific literature on PubMed and Google Scholar every month. We’ve have paying users across fields like medicine, ML, biotech, finance, and more.