Trooly Raises $20 Million and Launches AI Research Platform for In-Depth Consumer Interviews

July 23, 2026
Trooly has launched its AI research platform in North America and raised nearly $20 million in seed funding. The platform conducts 45-minute interviews with global consumers to deliver detailed insights similar to those from human researchers.

Trooly has launched its AI research platform and opened its first public beta in North America, backed by nearly 20 million dollars in seed funding, announced in a press release. The platform enables 45-minute in-depth interviews with consumers worldwide and generates insights comparable to those of senior human researchers.

Trooly’s system includes an intelligent follow-up engine that adjusts each question in real time based on user responses. The company says the platform aims to combine the depth of traditional interviews with the efficiency of automated research, allowing teams to gather nuanced feedback without managing fieldwork or translation logistics.

The platform operates through a four-step workflow: framing the research question, recruiting participants, conducting the interview, and delivering the interactive report. Recruitment draws on a participant pool of 180 million respondents across more than 30 countries.

Trooly’s AI interviewer uses a two-layer reasoning model to generate deeper follow-up questions during conversations. More than 400 teams across sectors including gaming, consumer goods, and manufacturing are already using the software. Public beta access is open in North America, with global availability expected to expand later.

We hope you enjoyed this article.

Consider subscribing to one of our newsletters like Enterprise AI Brief, AI Funding Brief or Daily AI Brief.

Also, consider following us on social media:

Subscribe to Enterprise AI Brief

Weekly report on AI business applications, enterprise software releases, automation tools, and industry implementations.

Whitepaper

Tensordyne Napier: What If One Rack Could Do the Work of Nine?

Tensordyne

This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.

Read more