AWAI
AWAI has two ways of working, built on the same analysis engine.
Group analysis replaces a fixed questionnaire. You write what you want to ask in plain prose and share an invite link; respondents need no account. Each person talks with the AI on their own, and the AI follows up to draw out their thinking. Afterward, every conversation is regrouped by opinion, by the reason underneath it, and by how many people arrived there. A view only one person raised stays visible as an outlier instead of being averaged away. Up to 100 respondents on self-serve.
Meetings work in real time. Each participant picks the language they speak and read in, and what people say collects under topics while the conversation is still going. Afterward the meeting stays sorted by topic rather than as a transcript.
Both end in a document: put a plain-language question to the material and it becomes a report, exportable to PDF and hand-editable at no extra cost.
A public demo needs no signup.
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Nava Insights
Nava Insights is the only self-serve platform built around real-time customer voice conversation. Sign up, set up a study, and our AI moderator interviews hundreds of people at once in 20+ languages. It listens, responds in the flow of dialogue, and probes in the moment on what each person actually says, the way a human moderator would. That reaches a depth surveys, text, and one-way recordings can't.
Most AI-powered customer interview tools hide behind a demo wall and enterprise contracts. Nava doesn't. Start free, pay a transparent $35 per quality-passed interview, no sales call, no per-seat fees. And a 300M+ panel across 150+ countries is one click away, so you never have to find your own participants.
Design, recruit, interview, and analyze in one workflow. Every insight is traceable back to the exact quote and audio, and NavaGPT lets you keep exploring the data after the interviews end. Used for market research, UX, concept testing, brand, and employee insights.
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Enumerate AI
Enumerate AI is an AI-native qualitative research platform for enterprise insights teams and market research agencies. It supports AI-moderated, human-moderated, and unmoderated studies with real human respondents. Teams can run in-depth interviews, focus groups, video diaries, longitudinal diary studies, survey open ends, image-based questions, shopper research, and visual analysis. Enumerate helps manage the research workflow from fieldwork through transcription, translation, coding and theming, analysis, and reporting. Researchers can organize qualitative data, explore themes, compare responses, and trace findings back to the specific moments in conversations that support them. The platform works across voice, video, and text data and supports research in 40+ languages. Human researchers remain responsible for interpretation and final decisions, while Enumerate AI reduces manual work and helps teams produce clear, evidence-based qualitative insights.
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Frank
Frank is a cloud-based customer research platform that helps product and growth teams collect qualitative feedback through AI-moderated voice interviews. Teams create interview guides, share interview links, and embed an interview widget on a website or app. During a conversation, Frank asks follow-up questions based on a participant’s responses, then transcribes and organizes discussions into summaries, themes, sentiment, and highlights linked to source conversations. Teams use it for customer discovery, product and concept research, onboarding, feature feedback, customer experience, and churn research. Interviews can be conducted in more than 30 languages. Frank also provides a REST API and an MCP connector for compatible AI tools, allowing teams to access research data from supported tools.
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