AWAI
Group conversations, sorted by what people said and why they said it.
A startup from Shimizu-cho, Japan that is founded by Hayato Kamiya.
Group conversations, sorted by what people said and why they said it.
A startup from Shimizu-cho, Japan that is founded by Hayato Kamiya.
This page is designed to help you find out whether AWAI is good and if it is the right choice for you.
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; the people answering need no account. Each person talks with the AI on their own, and the AI follows up to draw them further into their own thinking. Afterward, every conversation is regrouped by opinion, by the reason underneath it, and by how many people arrived there. Opinions and reasons are gathered separately, so a shared reason shows through even when people disagree, and a view only one person raised stays as an outlier. Up to 100 respondents on self-serve.
Meetings work in real time. Open a room, share the link, and each participant picks the language they speak and read in. While people talk, what they say collects under topics on the side, so you can glance over and see which topics the conversation has covered so far. Afterward the meeting stays sorted by topic rather than as a transcript in the order things were said.
Both end in a document. Put a plain-language question to the same material and it becomes a report on the spot — one version for leadership, one for the floor, one as requirements for a vendor. Export to PDF and edit it by hand afterward at no extra cost.
There is a public demo that needs no signup: a hundred-person group analysis you can move around inside, and a three-person meeting in three languages.
Listed in
Group analysis
Each respondent talks with the AI one-on-one from an invite link. No account needed on their side.
Opinions and reasons, grouped separately
Answers are regrouped by opinion, by the reason underneath it, and by how many people arrived there. A view only one person raised stays as an outlier.
Live meeting analysis
What people say collects under topics while the conversation is still going, and stays sorted by topic afterward.
Per-participant language
Each person picks the language they speak and the language they read. The same meeting is shown to each in their own.
Reports from a plain-language question
Put a question to the analyzed material and it becomes a report. Export to PDF and edit it by hand at no extra cost.
Respondents per group analysis
Up to 100 (self-serve)
Participants per meeting
Up to 12
Interview depth
15, 30, 45 or 60 minutes (does not change the price)
Reports per project
Up to 50
Public demo
No signup required
Two things, and both come from how the analysis is built.
First, opinions and the reasons underneath them are gathered separately. Because of that, a reason shared by people who disagree still shows through, and a view only one person raised stays visible as an outlier instead of being averaged away.
Second, the same engine handles a group of one-on-one AI conversations and a live meeting between people. A meeting is sorted by topic while it is still running, and each participant reads it in the language they chose.
Both end in the same place: put a question to the material in ordinary prose and it becomes a report, exportable to PDF and editable by hand at no extra cost.
Most tools in this space run AI interviews and hand back themes and sentiment. AWAI differs in three concrete ways.
It separates opinions from the reasons behind them, so you can see when people who disagree are working from the same reason — usually the thing that decides whether a decision holds.
It covers meetings as well as one-on-one interviews on the same engine, so work that starts as a survey and continues as a discussion stays in one place.
Reports are not a fixed deliverable. You put a plain-language question to the analyzed material and get a report angled for that reader — one for leadership, one for the floor, one as requirements for a vendor — up to 50 per project.
What AWAI does not have: a dedicated sentiment-analysis feature, and multimedia collection. Group analysis is text; audio is handled on the meeting side.
HR and organization-development teams collecting employee opinions; executives and team leads who need decisions backed by the reasoning behind them; multilingual or distributed teams that meet across languages; consultants and researchers gathering qualitative feedback at scale.
AWAI is a Japanese word — an old reading of the character for "interval" — meaning the space between two things. It names what the product looks at: the structure that shows up between one thought and another, and the common ground that appears between one person's thinking and another's.
The starting point was a shift that came with AI. Tools, techniques and knowledge — the things outside a person — became easy to produce, and once many people hold the same ones, they stop being what sets anyone apart. What AI can genuinely extend is the thinking on the inside.
Conversations are where that thinking lives, but they are hard to read afterward: things get said in the order they occur to people, not in the order that makes sense. AWAI takes conversations that have already happened and sorts them by what was said and why, so the shape of the thinking becomes something you can look at.
Frontend: React, TypeScript, Vite, and Three.js (react-three-fiber) for the 3D views. Backend: Python, FastAPI, SQLAlchemy, and PostgreSQL with pgvector for embeddings. AI: Google Gemini — structured output for the analysis pipeline, embeddings for grouping, and the Live API for meetings. Real-time meetings: LiveKit. Auth: Firebase Auth. Infrastructure: Google Cloud Run and Cloudflare.
We have collected here some useful links to help you find out if AWAI is good.
Check the traffic stats of AWAI on SimilarWeb. The key metrics to look for are: monthly visits, average visit duration, pages per visit, and traffic by country. Moreoever, check the traffic sources. For example "Direct" traffic is a good sign.
Check the "Domain Rating" of AWAI on Ahrefs. The domain rating is a measure of the strength of a website's backlink profile on a scale from 0 to 100. It shows the strength of AWAI's backlink profile compared to the other websites. In most cases a domain rating of 60+ is considered good and 70+ is considered very good.
Check the "Domain Authority" of AWAI on MOZ. A website's domain authority (DA) is a search engine ranking score that predicts how well a website will rank on search engine result pages (SERPs). It is based on a 100-point logarithmic scale, with higher scores corresponding to a greater likelihood of ranking. This is another useful metric to check if a website is good.
The latest comments about AWAI on Reddit. This can help you find out how popualr the product is and what people think about it.
The tool is called AWAI: people in different languages sit in the same meeting and talk. The subtitles I measured here are on that screen. - Source: dev.to / 20 days ago
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Is AWAI good? This is an informative page that will help you find out. Moreover, you can review and discuss AWAI here. The primary details have been verified within the last quarter. So they could be considered up to date. If you think we are missing something, please use the means on this page to comment or suggest changes. All reviews and comments are highly encouranged and appreciated as they help everyone in the community to make an informed choice. Please always be kind and objective when evaluating a product and sharing your opinion.
