• FogHorn

  Led · Series C · Feb 2020

  FogHorn is a Sunnyvale, Calif.–based developer of intelligence edge computing software for industrial and commercial IoT applications. Its software platform delivers advanced analytics and machine learning at the on‑premises edge to enable advanced monitoring, diagnostics, machine performance optimization, proactive maintenance and operational intelligence. The technology is positioned for OEMs, systems integrators and end customers across manufacturing, power and water, oil and gas, renewable energy, mining, transportation, healthcare, retail, smart grid, smart city, smart building and connected vehicle use cases. Company leadership includes CEO David C. King, Chief Revenue Officer John Neville and VP of Engineering Senthil Kumar. FogHorn said it will use the new funding to scale and invest in continued product innovation. The company has raised a total of $72.5M to date following this round. FogHorn develops the Lightning edge-intelligence software platform that brings advanced analytics and machine learning to on-premises edge environments. Its platform enables advanced monitoring and diagnostics, machine performance optimization, proactive maintenance and operational intelligence use cases. The technology targets OEMs, systems integrators and end customers across manufacturing, oil & gas, power and water, transportation, renewable energy, mining, agriculture, Smart Building, Smart City and connected vehicle applications. Led by CEO David C. King, the company operates engineering resources in Mountain View and Pune, India. FogHorn recently completed a $30M Series B round, bringing total funding to $47.5M, to support engineering expansion and global go-to-market growth. FogHorn develops "edge intelligence" software that brings analytics and machine learning to industrial and commercial IoT deployments. Its platform supports advanced monitoring and diagnostics, machine performance optimization, proactive maintenance and broader operational-intelligence use cases. The technology targets OEMs, systems integrators and end customers across manufacturing, oil and gas, power and water, transportation, renewable energy, mining, agriculture, Smart Building, Smart City and connected vehicle applications. Led by CEO David C. King, the company said it will use new funds to continue developing the platform and to expand its geographic reach. The articles note an extended Series A and a prior Series A announced in July 2016. FogHorn provides an edge intelligence (fog computing) platform that enables real-time analytics, machine learning models and edge computing applications for industrial and enterprise IoT use cases. Its software stack blends real-time, on-site processing of sensor data with cloud-based management, analysis and machine learning. The platform applies intelligence at the edge to lower cloud-related bandwidth costs and refocus the cloud on functions such as application portability, provisioning orchestration and advanced analytics. FogHorn targets sectors including manufacturing, power and water utilities, oil and gas, mining, renewable energy, transportation, health care, smart grids, smart cities, smart buildings and connected vehicles. The company is led by CEO David C. King and CTO Sastry Malladi. In connection with its funding activity it raised $12M in Series A financing and converted an additional $2.5M of initial seed capital.

• Sight Machine

  Led · Series C · Apr 2019

  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.