• Rescale

  Participated · Series A · Jun 2016

  Rescale provides a unified digital engineering platform that combines cloud high-performance computing resources, intelligent data management tools, and applied AI to speed modeling and simulation workflows. The company maintains a market-leading library of over 1,250 engineering and R&D applications and a global network of more than 500 cloud datacenters through partners such as AMD, AWS, Arm, Intel, Microsoft Azure, NVIDIA, and Oracle Cloud Infrastructure. Rescale serves hundreds of enterprise customers across aerospace, automotive, energy, life sciences, manufacturing, public sector, and semiconductors; customers including Arm, General Motors Motorsports, Samsung, SLB, and the U.S. Department of Defense spend over $1 billion annually on HPC infrastructure that the platform supports. Planned roadmap priorities include expanding available workflows and compute technologies, establishing a unified data fabric and digital thread for modeling and simulation, adding AI-native search, tagging, and automation, and strengthening enterprise security and compliance with additional government and defense authorizations. The company emphasizes democratizing AI-powered engineering and automating AI Physics tool use, targeting large speed improvements in design validation. Financially, Rescale has raised a $115 million Series D and has now brought total funding to over $260 million. Rescale delivers a platform that enables organizations to run scientific and engineering simulations on public clouds (AWS, Azure, GCP, IBM, Oracle) and manage on-premises HPC resources, schedulers, and licenses. Its network spans 8 million servers with over 80 specialized architectures and resources (e.g., Nvidia Tesla P100 GPUs, Intel Skylake processors, >1TB RAM) delivering a combined 1,400 petaflops of compute. The platform supports workloads across aerospace, automotive, oil & gas, life sciences, electronics, academia, and machine learning, and includes a recommendation engine trained on billions of core hours to optimize performance. Rescale offers on-demand and long-term computing environments and pricing for single batch jobs, optimization jobs, and large designs of experiments, and has expanded its software catalog to more than 800 apps. Since its most recent February funding round the company added over 100 new customers and now counts 200 enterprise subscribers and 400 subscribers overall, including several Fortune 50 businesses. CEO Joris Poort says the new proceeds will be used to grow Rescale’s platform, service offerings, and workforce (the company has 200 employees and expects to grow to 300 in a year). Rescale is a hybrid high-performance computing (HPC) cloud platform delivering intelligent computing for digital R&D. Led by CEO Joris Poort and CTO Adam McKenzie, the company serves more than 300 customers ranging from startups to Fortune 50 enterprises. Rescale enables research scientists and engineers to run simulation and artificial intelligence workloads on the cloud provider of their choice using specialized hardware architectures and software templates optimized for their use cases. The platform requires no setup or maintenance from users. Rescale closed a $50m Series C round, bringing its total funding to over $100m. The company stated it intends to use the funds. Rescale helps companies move legacy high-performance computing (HPC) applications to the cloud or hybrid environments, providing HPC resources and tuning applications for maximum performance. The platform supports bare metal, virtual machines and containers and can leverage on-prem capital assets while extending workloads to different cloud vendors. Rescale targets engineering, aerospace, scientific and other verticals and currently serves about 150 customers, including Sikorsky Innovation, Boom Aerospace and Trek Bikes. The company was founded in 2011 and is based in San Francisco, with roughly 80 employees. Financially, Rescale has raised a total of $52 million to date and recently closed a $32 million Series B. The company plans to use the new capital to hire developers and solutions architects, expand in Asia and Europe, and build relationships with systems integrators to broaden market reach. Rescale provides enterprise-class high performance computing (HPC) platforms that help large enterprises transition from legacy on-premise systems to scalable, agile cloud computing infrastructure. Its platform is deployed securely via a web-based application environment powered by simulation software providers and backed by large HPC infrastructure. The company serves global Fortune 500 customers across aerospace, automotive, life sciences, marine, consumer products and energy sectors. Led by CEO Joris Poort, Rescale has attracted notable seed backers and strategic investors. The company raised a $14M Series A and intends to use the funds to expand worldwide. Total capital raised to date exceeds $20M.

• Sight Machine

  Participated · Series B · Mar 2016

  Sight Machine provides an analytics platform purpose-built for discrete and process manufacturing, using artificial intelligence, machine learning and advanced analytics to address quality and productivity challenges across the enterprise. The solution creates AI-enabled digital twins of the entire production process to enable continuous improvement in productivity, quality and profitability. Its platform is optimized to run on major cloud providers including Microsoft Azure, Google Cloud Platform and AWS. The company serves Global 500 customers and large enterprises across automotive, food and beverage, packaging, and pulp and paper sectors. The business is led by CEO and co-founder Jon Sobel and is based in San Francisco, CA. No financial metrics or revenue figures were disclosed in the article. Sight Machine is a San Francisco-based digital manufacturing platform led by CEO Jon Sobel. Its analytics platform uses artificial intelligence, machine learning and advanced analytics to address quality and productivity challenges across the enterprise. The solution is optimized to run on major cloud platforms including Microsoft Azure, Google Cloud Platform and AWS, and the company partners with system integrators such as Fujitsu, consultancies, and E.ON. Sight Machine stream-processes and continuously analyzes manufacturing data across North America, Europe, Asia and Australia. Global 500 companies in the automotive, food and beverage, and pulp and paper sectors use the platform, including Nissan Motor Co., Heineken N.V. and Westrock Co. The company announced a $29.4M Series C in April 2019. Sight Machine offers an end-to-end big data platform built specifically for manufacturing that transforms process, parts, and people data into real-time production, quality, and supply chain insights. The platform provides retrospective analysis of product variation and failures, predictive analytics to support process improvement, and benchmarking at contractor, factory, line and tool levels. Enterprise customers include auto OEMs and Tier One suppliers, a major consumer brand, and global leaders in pharmaceuticals, medical devices and industrial materials. Early results cited include detecting and eliminating five times the quality defects for a Detroit Three automaker, reducing asset downtime by more than 50%, and improving asset performance by 25% over a one-month period. Sight Machine will use the Series B proceeds to expand its sales and marketing efforts and continue technology development. Investors and partners such as GE Ventures framed the company as central to the digital transformation of manufacturing and the realization of the "brilliant factory." Sight Machine develops a cloud-based manufacturing analytics platform that captures, processes, and analyzes the torrent of structured and unstructured sensor and machine data generated on the factory floor. The platform delivers real-time reporting of quality problems, retrospective analysis of product variation and failures, predictive analytics for process improvement, and defensive recordkeeping. Sight Machine targets global manufacturers with complex operations and supply chains that are adopting Industrial IoT. Customers include a major automotive OEM and one of the world’s largest apparel manufacturers. The company operates offices in San Francisco, southeastern Michigan, and Asia and plans additional hiring across those locations. Sight Machine will use the proceeds from its recent venture round to fund ongoing technical and market development efforts.

No current team members are available.