Funding
Funding not disclosed
Founders
Product
Problem
Traditional qualitative research methods for gathering user feedback are time-consuming, resource-intensive, and often fail to capture the full spectrum of market insights. This leads to delayed product iterations and missed opportunities due to the slow pace of traditional interview and survey deployment.
Solution
Terac offers an AI-driven platform that automates the sourcing and execution of user feedback interviews at scale. By uploading concepts and defining target audience specifications, the platform deploys intelligent agents to conduct dynamic, real-time conversations with human participants. This process generates analyzed interview data, including comprehensive slide decks and highlight reels, within hours, significantly accelerating the feedback loop for product development and market research. The system is designed to mimic natural conversation, ensuring richer data capture and participant engagement.
Target Audience
The platform serves product managers, innovation teams, insights professionals, and UX researchers who require rapid, scalable, and in-depth qualitative feedback on concepts, prototypes, and messaging.
Features
- AI-powered agent infrastructure for automated participant sourcing and interview execution.
- Dynamic question sequencing and real-time sentiment analysis to adapt interview flow based on participant responses.
- Multilingual interview capabilities with customizable voice options to suit diverse participant demographics.
- Automated transcription and analysis of interview data, generating actionable insights and summary reports.
- One-click generation of slide decks and video highlight reels for rapid insight dissemination.
- Scalable interview capacity, enabling hundreds or thousands of interviews to be conducted concurrently.
- API access for integration with existing research workflows and data analysis tools.
- Credit-based pricing model where 1 credit equals 1 minute of interview time, offering flexible cost management.