GenerativeX Raises $4M in Series A Funding Led by Nissay Capital

The round also saw participation from Salesforce Ventures, Angel Bridge, DeepCore, and SMBC Venture Capital.

The company will use the funding to expand its business across North America, grow its team by hiring senior leaders, consultants, and engineers, and pursue strategic acquisitions and partnerships to strengthen its services and support future growth.

GenerativeX serves more than 80 enterprise clients across industries such as financial services, healthcare, manufacturing, and telecommunications. The company provides dedicated Forward Deployed Engineers (FDEs), who combine technical expertise with industry knowledge to work directly with clients, develop production-ready software, and deliver practical AI solutions quickly.

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"Coding agents are reshaping how every business is run, not just how software gets developed. What enterprises need is a partner who can take them all the way from strategy to working product. We've done that for some of the world's largest companies, and this round lets us scale that model further," said Rei Araki, Founder and CEO of GenerativeX.

"We backed Rei's first venture, and we're proud to back him again. Most organizations are still figuring out how to make AI work at scale. GenerativeX has already cracked that problem for major enterprises. We believe they're the team to define what enterprise AI looks like globally," said Yusuke Ito, Senior Capitalist, and Zhi Li, Capitalist, both at Nissay Capital.

"GenerativeX consistently delivers real business impact for clients. We've seen it firsthand through our work together on Agentforce deployments. They are one of the strongest teams bringing enterprise AI to life at scale, and we're excited to keep building on this partnership," said Sho Yamanaka, Principal at Salesforce Ventures.

About GenerativeX

Founded in 2023 by Rei Araki, GenerativeX develops AI solutions for large enterprises. Its Forward Deployed Engineer teams work closely with clients across industries, helping them with AI strategy, implementation and the development of production ready software.

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