BlueRun Ventures Leads Nearly $10 Million Seed Round for AI User Research Platform Trooly.AI | BlueRun Portfolio
Let consumer insights reach product decision-makers directly
AI-Native user research platform Trooly.AI recently announced the completion of a nearly $10 million seed round, led by BlueRun Ventures, with participation from Hillhouse and Huiwen Wang. The funding will primarily go toward continued R&D of its core product and multimodal Voice Agent technology, building out a global user sample network, and market expansion targeting Chinese companies going global and high-decision-density industries. Just four months after its founding, Trooly.AI has already moved from product validation to an initial commercial闭环.
BlueRun Ventures stated: "User research is the most human-dependent and least efficient link in the product decision chain. The Trooly.AI team is exploring and reconstructing the user research market through Voice Agent, transforming traditional user research from a high-cost, low-frequency strategic activity into a low-cost, high-frequency tactical capability for enterprises. The team brings both mature AI对话技术积累 and a deep understanding of real pain points in product decision-making. We believe that as enterprise decision costs continue to rise, authentic, verifiable user insights will become increasingly important, and Trooly.AI will open up a new incremental market."
Founded in 2025, Trooly.AI is an AI-Native user research platform serving B2B clients with deep user insight needs, providing qualitative user interview services powered by multimodal Voice Agent. Through Trooly.AI, users need only spend 10 minutes inputting their research intent to complete interview protocol design, precise user recruitment, and receive full interview data and structured insight reports within 24 hours. The platform focuses on in-depth qualitative interviews of around 45 minutes, covering high decision-cost industries such as consumer, gaming, 3C, and VC, helping product teams directly access authentic user stories rather than remaining at the "surface-level facts" of surveys. Trooly.AI's two co-founders, Zhen Wang (Whisper) and Hao Sun (Zephyr), both come from Zulution AI, where they were deeply involved in building the AIGC companion product Museland, accumulating mature product and engineering experience in AI对话, emotion recognition, and long-duration interaction.
This round of funding will primarily be used to strengthen Trooly's long-term moat in underlying interview capabilities and global user recruitment. On one hand, the company will continue to increase R&D investment in multimodal Voice Agent and emotion recognition technology, enhancing AI's depth of understanding and emotional perception in real interview scenarios. On the other hand, it will systematically build a high-quality user sample network covering core global markets, ensuring diversity and representativeness of input data across geography, culture, and industry dimensions. At the same time, Trooly will also bring in hybrid talent with experience in user research, AI products, and enterprise services, strengthening the synergy between technology and commercial落地, and further expanding application scenarios for companies going global and high-decision-density industries, accelerating the transformation from "research tool" to "decision infrastructure."
In traditional user research workflows, a complete project often takes one to two months, with high costs and low efficiency, causing numerous product decisions to still rely on gut feeling and personal experience. Meanwhile, in the AI era, the marginal cost of content generation and logical reasoning approaches zero; the truly scarce asset is no longer "output capability" but high-quality, authentic, decision-ready user input. Trooly.AI uses AI to assume the interviewer role, effectively reducing respondents' social pressure and making it easier for them to share authentic, intimate, and high-emotion-density personal stories. Compared to human interviewers, AI Agent can dynamically adjust follow-up depth in a more stable, neutral manner, capturing users' emotional changes to obtain insights with greater "information增量." Currently, Trooly.AI has increased traditional user research feedback speed by approximately 30x and compressed the cost of same-scale interviews to roughly 20% of traditional solutions. Trooly.AI CEO Zhen Wang stated: "In user research, what matters isn't isolated facts, but authentic user stories. Through stories, product managers can truly understand the emotional connection between users and products, bridging the gap between imagination and reality. We didn't nail infinite AI companionship, but we can nail a one-hour interview. What Trooly.AI wants to do is let authentic consumer insights reach product decision-makers directly — make user's voice matter." CTO Hao Sun added: "The challenge of AI conducting in-depth interviews isn't just model capability, but understanding interaction rhythm and emotion. We want Agent to not just ask questions, but learn to create a safe, calm, trustworthy conversational space. We want to give users a stage where they can fully express their stories." Looking ahead, Trooly.AI will continue to focus on its mission of "letting consumer insights reach product decision-makers directly," deepening its technology and product moat in global user research, and serving more companies going global and high-complexity decision scenarios. In an era of highly homogenized AI applications, Trooly.AI aims to become the key infrastructure connecting real users and builders, helping more products evolve through real demand.
Trooly.AI is an AI-Native user research platform dedicated to making authentic user insights reach product decision-makers more efficiently and at lower cost through multimodal Voice Agent technology. The company focuses on in-depth qualitative interview scenarios, serving global companies going global and clients in high-decision-density industries.
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