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RapidCanvas announced the completion of a $29 million Series B funding round led by Vertex Ventures SEA & India, with participation from Hitachi Ventures, Accel, Peak XV Partners and others; the company had previously received $16 million in investment in 2024. Its Enterprise AI Platform can automate about 60% of the work of building AI applications, and has served more than 75 customers in manufacturing, finance, retail and other industries, with annualized revenue growing 8x over the past 18 months. The new funds will be used to expand its marketing and AI engineering teams.
RapidCanvas announced the completion of a $29 million Series B funding round led by Vertex Ventures SEA & India, with participation from Hitachi Ventures, Accel, Peak XV Partners and others; the company had previously received $16 million in investment in 2024. Its Enterprise AI Platform can automate about 60% of the work of building AI applications, and has served more than 75 customers in manufacturing, finance, retail and other industries, with annualized revenue growing 8x over the past 18 m
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RapidCanvas has closed a $29 million Series B round led by Vertex Ventures SEA & India with participation from Hitachi Ventures, alongside existing investors Accel, Peak XV Partners, Valley Capital Partners and Titanium Ventures, bringing total funding to $52.5 million, and said its annual recurring revenue grew eightfold over six quarters. The funds will be used to expand market teams and field AI engineering teams in the United States, Brazil and India, and to invest in the Enterprise Context Engine, the Visual Development Canvas skills library and Operational Harness governance capabilities.
RapidCanvas has closed a $29 million Series B round led by Vertex Ventures SEA & India with participation from Hitachi Ventures, alongside existing investors Accel, Peak XV Partners, Valley Capital Partners and Titanium Ventures, bringing total funding to $52.5 million, and said its annual recurring revenue grew eightfold over six quarters. The funds will be used to expand market teams and field AI engineering teams in the United States, Brazil and India, and to invest in the Enterprise Context
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Vinci4D showcased its physical AI solution at SEMICON West, combining physics foundation models with GPU-native physics kernels in what it calls Continuous Physics Reasoning, enabling engineers to obtain both accuracy and fast physics simulation at design speed. The model is trained on Vinci's proprietary data, deployed within customers' firewalls, and can directly read existing design files. Its $250 million Series B funding will support expansion into electromagnetics, fluid dynamics, and the automotive and aerospace sectors.
Vinci4D showcased its physical AI solution at SEMICON West, combining physics foundation models with GPU-native physics kernels in what it calls Continuous Physics Reasoning, enabling engineers to obtain both accuracy and fast physics simulation at design speed. The model is trained on Vinci's proprietary data, deployed within customers' firewalls, and can directly read existing design files. Its $250 million Series B funding will support expansion into electromagnetics, fluid dynamics, and the
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