Cookiy AI Launches AI-Powered Research Suite to Connect Models with Real Human Insights

Cookiy AI has unveiled a new suite of user research tools designed to bridge a longstanding gap in artificial intelligence: the ability to directly engage with real people. The launch introduces Cookiy Skill, CLI, and an MCP Server, enabling AI systems to conduct both qualitative and quantitative research by interacting with human participants in real time.

The company describes this capability as a new “human layer” in the AI stack—one that allows software to move beyond analysing static data and instead access live human opinions, behaviours, and decision-making processes.

Bringing Human Insight into the AI Workflow

Until now, AI systems have largely relied on existing data sources such as web content, documents, and structured datasets. While powerful, these sources lack real-time human input. Cookiy’s platform addresses this limitation by allowing users to initiate research directly from AI tools such as ChatGPT, Claude, or Cursor.

With a simple prompt, users can now launch a full research program—recruiting participants, conducting AI-moderated interviews or surveys, and receiving structured insights within hours. The approach effectively embeds professional-grade research capabilities into everyday AI workflows.

According to Davin Dong, the goal is to democratise access to user research. “Search engines show what people have already published. Cookiy reaches what they haven’t—real-time intent, preferences, and emotions,” he said.

From Specialist Function to Always-On Insight Engine

Traditionally, user research has been a specialised discipline requiring significant resources, expertise, and time. Cookiy aims to transform this model by making research accessible to a broader audience, including product teams, founders, consultants, developers, and academic researchers.

The platform enables a range of use cases, from validating product features and testing market demand to understanding customer decision-making. By integrating research capabilities into AI tools, Cookiy positions user research as an “always-on” function rather than a periodic activity.

At the same time, the platform allows individuals worldwide to contribute their perspectives, effectively turning human experience into a scalable and accessible data source.

End-to-End Research in Hours

Central to the offering is Cookiy Skill, which acts as the orchestration layer within AI tools. It transforms a user’s question into a structured research program—defining the methodology, identifying target audiences, generating discussion guides, and coordinating data collection.

The execution layer, powered by Cookiy’s CLI and MCP Server, manages participant recruitment, interviews, and surveys at scale. The system then compiles results into structured reports, including key themes, direct quotes, and statistical insights, along with outputs such as presentations and video summaries.

In a typical use case, a product team can validate a feature concept within hours. For example, a single query can trigger a mixed-methods study involving dozens of participants, delivering insights on user demand, positioning preferences, and potential concerns ahead of launch.

Building the Next Layer of AI Intelligence

Cookiy’s broader vision extends beyond research workflows. The company is developing what it calls an “insight engine”—a continuously evolving knowledge layer built on real human interactions. This layer is intended to help AI systems better understand how people think, behave, and make decisions, complementing traditional data-driven approaches.

By embedding human input directly into AI processes, Cookiy is positioning itself at the intersection of automation and human intelligence—an area gaining increasing attention as organisations seek more context-aware and reliable AI systems.

Early Traction and Market Positioning

Based in San Francisco, Cookiy AI has raised over $7 million in pre-seed funding from investors including Liquid2, Converge, GoAhead, and UpHonest. The company reports surpassing $1 million in annual recurring revenue within six months of its founding.

The launch signals a shift in how AI systems may evolve—from tools that interpret existing information to platforms that actively generate new knowledge through human interaction. As enterprises look to combine automation with deeper insight, the ability to connect AI directly with human perspectives could become a defining capability in the next phase of AI development.