
Genspark has expanded its Series B funding round to $385 million, marking a significant milestone as it accelerates the rollout of its enterprise-focused AI agent platform. The company, founded by Jing Kun and Zhu Kaihua—both former Baidu executives—is now entering a new phase of commercialization and large-scale deployment.
The fresh capital will support the company’s efforts to scale its platform, enhance product capabilities, and meet growing enterprise demand for intelligent automation solutions. The funding expansion also reflects increasing investor confidence in Genspark’s ability to establish a strong presence in the rapidly evolving AI agent ecosystem.
The startup has already demonstrated strong commercial traction, surpassing $200 million in annual recurring revenue (ARR). This growth highlights the rising demand for AI-driven systems capable of automating complex workflows and improving operational efficiency across industries.
Genspark’s platform is designed to go beyond traditional automation by enabling AI agents to perform multi-step, decision-driven tasks autonomously. This capability is particularly valuable for enterprises managing large-scale data environments and seeking scalable, intelligent solutions to optimize processes and decision-making.
Operating from Palo Alto, a global hub for innovation, the company benefits from access to top-tier talent and a dynamic AI research ecosystem. The additional backing from SBI Investment further underscores the startup’s growth potential and long-term market opportunity.
The broader AI market continues to expand at a rapid pace, with strong enterprise adoption driving demand for advanced automation technologies. Against this backdrop, Genspark’s funding milestone and revenue growth position it as a rising player in the competitive AI landscape.
With this capital infusion, the company plans to accelerate product development, expand into new markets, and scale its operational infrastructure, as it competes with both emerging startups and established technology players in the AI agent space.




