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  10. SiliconANGLE

    RapidCanvas Raises $29 Million Series B to Build Custom AI Apps for Enterprises

    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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    #hot-signal#Industry news#Agents#English text is being prepared.
  11. Unite.AI

    RapidCanvas Raises $29M Series B to Scale Enterprise AI Delivery

    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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    #hot-signal#Industry news#Agents#English text is being prepared.
  12. SiliconANGLE

    Vinci Uses Physical AI to Accelerate Chip Design

    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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    #hot-signal#Industry news#English text is being prepared.
  15. OpenAI Developers

    How OpenAI Designs Failover for Model Providers

    For customers such as those in financial services, OpenAI explains the production routing and failover design for critical AI workloads between the direct OpenAI API (1P) and third-party cloud providers (3P). The direct API allows early access to preview models and features, and failover is enabled only when a request can be safely retried and the fallback route meets the requirements—for example, in a payment flow, a timed-out Responses API call for a read-only fraud assessment can be retried before the transaction deadline. In-progress sessions in the Agents API cannot be recovered by switching providers; multi-provider support is a platform capability, while failover is a workflow decision.

    For customers such as those in financial services, OpenAI explains the production routing and failover design for critical AI workloads between the direct OpenAI API (1P) and third-party cloud providers (3P). The direct API allows early access to preview models and features, and failover is enabled only when a request can be safely retried and the fallback route meets the requirements—for example, in a payment flow, a timed-out Responses API call for a read-only fraud assessment can be retried b

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    #engineering#Tutorials / practice#English text is being prepared.#OpenAI

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