Analytics2Go matches the query because it has a North American presence (headquartered in Sarasota, FL, USA), is likely in an early stage (no mention of Series C or later funding), and provides AI-enabled solutions that would likely require large GPU clusters for processing millions of data points and enhancing ERP systems.
Scispot has a presence in North America (Kitchener, ON, Canada), is in an early stage (Y-Combinator S21, team size of 12), and operates in the biotech industry which often requires large GPU clusters for machine learning and artificial intelligence applications.
DataChat has a presence in North America (headquartered in Madison, Wisconsin) and is in an early stage (Series A funding). The company operates a generative AI platform for instant analytics, which likely requires large GPU clusters for machine learning and data science functions.
Devron matches the query because it has a presence in North America, is in an early stage (pre-Series C), and is likely to require large GPU clusters for their operations. The company supports integration with major cloud providers and employs a federated learning approach, which typically requires significant computational resources, including large GPU clusters.
Innoplexus has a presence in North America with an office in Iselin, United States. The company is in an early stage, having been founded in 2015 and not mentioned to have reached Series C funding. Given their focus on AI-driven solutions for drug discovery and development, it is highly likely they require large GPU clusters for their operations in artificial intelligence and machine learning.
Hume AI matches the query because it has a North American presence (headquartered in New York, NY), is in an early stage (having raised $50M in a Series B funding round, which is pre-Series C), and is likely to require large GPU clusters for their operations given their focus on AI models of emotional expression, which typically involve intensive computational resources.
Overview has a presence in North America (San Francisco, CA, USA), is in an early stage (Y Combinator W19 batch, team size of 15), and operates in a field (AI vision sensors for manufacturing) that likely requires large GPU clusters for their operations, as evidenced by their use of NVIDIA GPUs and deep learning technologies.
Geminus.ai matches the query because it has a North American presence (headquartered in Cambridge, MA), is likely in an early stage (no mention of Series C or later funding), and operates in a field (physics-informed AI and deep learning) that typically requires large GPU clusters for simulations and real-time operational decisions.
Chalk matches the query because it has a presence in North America (evidenced by its funding from North American VCs like General Catalyst, Unusual Ventures, and Xfund), is in an early stage (having raised $10 million in seed funding), and is likely to require large GPU clusters for its operations (as it provides a data platform for machine learning and generative AI, which typically require significant computational resources).
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