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Hang Ten Systems' rapid $53M raise highlights a shift toward agentic code generation and reusable skill libraries as viable models for deploying enterprise AI at scale. By reducing development marginal costs and timelines compared to traditional systems integrators, the startup demonstrates a practical pathway for large enterprises to integrate applied AI into core functions like finance and HR.

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Ex-Infosys chief Vishal Sikka’s Hang Ten raises $53M more for enterprise AI services

SiliconANGLESeptember 16, 20264 min read

Enterprise artificial intelligence services startup Hang Ten Systems Inc. today announced it has raised $53 million in a second seed round, less than three months after announcing its first. Hang Ten provides advisory, transformation and applied AI services, and its customers are large enterprises trying to get AI working inside their businesses. The delivery model […] The post Ex-Infosys chief Vishal Sikka’s Hang Ten raises $53M more for enterprise AI services appeared first on SiliconANGLE.

Enterprise artificial intelligence services startup Hang Ten Systems Inc. today announced it has raised $53 million in a second seed round, less than three months after announcing its first. Hang Ten provides advisory, transformation and applied AI services, and its customers are large enterprises trying to get AI working inside their businesses. The delivery model is built on agentic code generation and a reusable library of skills, with domain experts rounding it out. Hang Ten…

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