Tirro is an AI-powered primary research platform that runs customer and expert interviews at scale, automatically synthesizing findings for team interrogation. The platform deploys AI voice agents to conduct hundreds of simultaneous interviews, transcribe them, and let users query the entire dataset with cited answers. It serves corporates, consultancies, private equity firms, and hedge funds seeking faster, more comprehensive primary research.
Funding
Funding not disclosed
Founders
Product
Problem
Secondary research has been commoditized by AI tools like ChatGPT, eliminating its competitive advantage. Primary research through expert calls remains slow to arrange, expensive to run, and difficult to synthesize at scale, limiting most teams to only a handful of interviews per engagement.
Solution
Tirro provides an always-on primary research engine that deploys AI voice agents to conduct customer and expert interviews simultaneously at scale. The platform captures, transcribes, and synthesizes every interview automatically, then lets users interrogate the findings as if they had read every transcript themselves. Teams can run 10 or 1,000 interviews at once, ask questions across the entire expert dataset, and receive cited answers in seconds. This enables faster decision-making by surfacing risks, assumptions, and blind spots that would otherwise remain hidden.
Target Audience
Primary customers are corporates, consultancies, private equity firms, and hedge funds that need large-scale primary research to validate investment theses, test market assumptions, and surface competitive intelligence.
Features
- AI voice agents that conduct hundreds of customer and expert interviews simultaneously
- Automatic transcription and synthesis of all interview data
- Natural language querying across the entire expert dataset with cited answers
- Configurable interview guides tailored to specific research topics
- Integration with user networks or direct sample sourcing through the platform
- Use case support for investment thesis validation, competitive analysis, and product satisfaction research