Trooly, an AI-native research platform, has launched its agent-based architecture to automate qualitative user research. The new system transforms how enterprises understand their users by enabling rapid, high-quality in-depth interviews at scale.
Quick Intel
The platform combines advanced AI agents with a continuous stream of domain expertise, creating a durable advantage through a self-reinforcing data flywheel. These agents use sophisticated reasoning and multi-model awareness to detect subtle cues and uncover underlying user intent beyond explicit statements.
The “Empathy Engine”
Drawing on the team’s prior experience in AI emotional companionship, Trooly has integrated an “Empathy Engine” into its agents. The system detects emotional signals in tone and expression and responds with appropriate validation and support. This creates a safe conversational environment that encourages interviewees to share more openly, resulting in richer and more authentic insights.
Global Respondent Network
Trooly provides access to a network of approximately 180 million potential respondents across 25 countries. This extensive reach allows businesses to quickly source participants for diverse studies, including both mainstream and niche segments. Every interview is conducted as a complete 45-minute in-depth session, with full video recordings and transcripts made available along with all raw data.
"Trooly's role goes beyond delivering user research reports," said Zephyr Sun, CTO at Trooly. "We aim to provide entrepreneurs with more direct, actionable insights and frontline decision-making advice, enabling end-to-end delivery for our clients."
About Trooly
Trooly is an AI-native research platform powered by advanced voice agents, which is able to autonomously design studies, conduct in-depth interviews, and deliver insights within 48 hours.