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What is Terac?

Terac is a revolutionary platform that allows businesses to conduct hundreds of AI-moderated interviews concurrently, drastically shortening the time required to gather customer insights from months to mere hours. Traditional research methods such as manually scheduling calls, distributing static surveys, or hiring consulting firms are often slow, costly, and inefficient. Terac replaces these outdated processes with dynamic, voice-based interviews that scale effortlessly, providing immediate, structured responses. This technology is especially valuable for product development, research, and innovation teams seeking to understand users, test concepts, and identify emerging market trends quickly. Terac envisions a future where companies operate fully autonomously, yet the true challenge remains enabling AI systems to deeply understand their markets and customers. The platform addresses this bottleneck by automating and accelerating qualitative research at an unprecedented scale. Terac’s AI moderation ensures interviews are consistent and insightful, reducing bias and human error. Its rapid feedback loop empowers organizations to iterate faster and make data-driven decisions with confidence. Additionally, Terac’s approach improves research accessibility by lowering costs and time investment. Ultimately, Terac transforms how businesses collect and utilize customer insights to innovate and grow in an increasingly competitive landscape.

What is Nava Insights?

Nava Insights uniquely positions itself as the only self-service platform dedicated to real-time voice interactions. Users can effortlessly register and kick off a study, allowing our AI moderator to conduct interviews with hundreds of participants at once, in more than 20 languages. This advanced system listens attentively, participates in the dialogue, and poses follow-up questions tailored to individual responses, emulating a human moderator's interaction style, which provides a depth of insight that traditional surveys or text inputs cannot achieve. In contrast to many AI interview platforms that burden users with cumbersome demo processes and complex enterprise contracts, Nava offers a refreshingly simple experience. You can start using the platform for free, with a transparent fee structure of just $20 for each interview that meets our established quality criteria, free from sales tactics or hidden costs per user. Furthermore, users benefit from immediate access to an extensive panel of over 300 million participants across more than 150 countries, thereby eliminating the need to find your own respondents. Nava Insights allows you to design, recruit, conduct interviews, and analyze findings all within a streamlined workflow, ensuring that every insight is linked to specific quotes and audio recordings. This cutting-edge tool is perfect for a wide range of applications, such as market research, user experience evaluations, concept validation, brand assessments, and collecting employee feedback, making it an adaptable solution for any research project. With its innovative features and user-friendly approach, Nava empowers researchers to extract valuable insights efficiently and effectively.

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Integrations Supported

Integrations Supported

HubSpot CRM
HubSpot Customer Platform

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

$35 per Interview
Pay-as-you-go, $35 per qualitative interview.
Free Version

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Not specified

Customer Service / Support

24 Hour Support
Web-Based Support

Training Options

Not specified

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Terac

Date Founded

2025

Company Location

United States

Company Website

terac.com

Company Facts

Organization Name

Nava Insights

Date Founded

2025

Company Location

Sweden

Company Website

navainsights.io

Categories and Features

AI Interviewing

Not specified

Categories and Features

AI Interviewing

Not specified

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