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AI agent startup Genspark expands Series B to $385m

Genspark, an AI agent platform, said it has raised US$385 million in an expanded Series B round, valuing the company at about US$1.6 billion.

The company offers an AI workspace that uses multiple agents to turn prompts into tasks such as drafting presentations, organising information, and making calls through voice interaction.

Genspark said it has seen strong user growth, with monthly visits in Japan reaching 15 million in January.

It ranked No. 47 in the web category of Andreessen Horowitz’s “Top 50 Gen AI Apps” list, and its annual recurring revenue was about US$200 million as of March 2026.

Founded by former Baidu executives Jing Kun and Zhu Kaihua, Genspark has begun rolling out enterprise products as it scales its platform.

🔗 Source: Pandaily

🧠 Food for thought

Implications, context, and why it matters.

Genspark’s valuation relies on bundled AI tools and an enterprise security pitch

  • Genspark sells several AI features under one subscription, with paid plans that include a Plus tier at $24.99 per month 1.
  • It courts business teams with enterprise-grade security claims, including SOC 2 Type II certification (a third-party audit standard for how companies handle customer data) and “Zero Data Retention” messaging 2.
  • The product coordinates 70+ AI models to tackle complex work instead of running on one model 3.
  • Revenue growth has been fast, with more than $100 million in annual run rate (ARR) within nine months, yet a 1.9/5 Trustpilot score raises questions about user satisfaction 4.

Genspark signals a move from single-purpose AI tools to integrated agent platforms

  • The valuation backs a shift away from separate tools for text or image generation and toward a single all-in-one platform 1.
  • This approach lifts startups that can coordinate many specialized models and tools, putting them closer to competing with foundational model creators 3.
  • Companies like Genspark can move quicker on agentic workflows (AI systems that can plan and carry out multi-step tasks), which adds pressure on Microsoft and OpenAI, whose agent efforts have been more cautious and tied to their ecosystems 5.
  • If the model works, the AI-native SaaS market could consolidate as customers choose one flexible workspace over many niche subscriptions 1.

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