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Nextie Closes Two Consecutive Funding Rounds, Leading the Swarm Multi-Agent Race

📅 · 📁 Industry · 👁 9 views · ⏱️ 4 min read
💡 Nextie, an AI company founded by the original Microsoft Xiaoice team, has announced the completion of two consecutive funding rounds co-led by Sinovation Ventures and Atypical Ventures. The company is going all-in on Harness swarm multi-agent collaboration technology, with multiple benchmark metrics significantly outperforming international peers.

Microsoft Xiaoice's Founding Team Embarks on a New Journey as Nextie Secures Back-to-Back Funding

Nextie, an artificial intelligence company founded by the original Microsoft Xiaoice team, has announced the completion of two consecutive funding rounds, going all-in on the Harness swarm multi-agent track. The company has reportedly raised sufficient capital to sustain continuous innovation over the next three to five years, laying a solid foundation for long-term technological breakthroughs.

Funding Details: Led by Sinovation Ventures with Multiple Investors Joining

Nextie's angel round was co-led by Sinovation Ventures and Atypical Ventures, with MiraclePlus continuing as a follow-on investor. Other participating investors include David Ku, former Microsoft Corporate Vice President, among other individual investors. Anco Capital served as the company's exclusive financial advisor.

Notably, Nextie has secured two funding rounds within just one quarter of its establishment, reflecting strong capital market confidence in the team's technical capabilities and the track's prospects. Previously, the company made its debut as the finale project at MiraclePlus 2025 Fall Demo Day, drawing widespread industry attention upon its first public appearance.

Technical Approach: Native Swarm Intelligence with Differentiated Competition

Unlike most companies focused on foundational large models or AI tool applications, Nextie has chosen a differentiated technical path. Its primary technology stack is a multi-agent collaboration framework based on "native swarm intelligence and cognitive models," targeting three core scenarios:

  • Long-horizon multi-agent collaboration: Complex task orchestration scenarios similar to those represented by OpenClaw
  • High-difficulty research tasks: Benchmarked against deep research capabilities such as Google Deep Research
  • Large-scale swarm simulation: Addressing simulation needs requiring massive parallel agent collaboration

Thanks to its early investment in foundational swarm intelligence technology and forward-looking judgment on the Harness paradigm, Nextie has achieved significantly higher Intelligence Depth Index (IDI) scores than international peers across these domains, demonstrating leading multi-agent collaboration capabilities.

Team Background: From Microsoft Xiaoice to Nextie

Nextie's core team hails from the founding roster of Microsoft Xiaoice. Team leader Li Di formerly served as Deputy Dean of Microsoft Asia Internet Engineering Academy, bringing deep technical expertise and product experience in conversational AI and intelligent agents. Li Di stated: "This is what we have been preparing for since 2022." This remark suggests the team's long-term thinking and technical groundwork in multi-agent collaboration well preceded the current industry hype.

Track Outlook: Harness Swarm Multi-Agent May Become the Next Big Trend

The AI industry is currently transitioning from single large model capability competitions to a new phase of multi-agent collaboration. From OpenAI and Google to major domestic AI companies, multi-agent architectures have become a widely recognized direction of technological evolution. Nextie's focus on Harness swarm multi-agent technology emphasizes larger-scale and deeper-level agent group collaboration, poised to unlock potential far exceeding that of individual agents in areas such as complex decision-making, scientific research, and large-scale simulation.

With ample funding, a seasoned team, and technological leadership, whether Nextie can maintain its frontrunner position in this emerging track remains well worth the industry's continued attention.