Turn your concept
dans visuals you can share.
Speak AI turns the concepts inside your interviews, feedback, and notes into word clouds, theme maps, and dashboards, so you can visualize a concept the moment you need to, not days later. We build it with you.
Les victoires que les équipes déploient.
Temps jusqu’à un produit en direct, heures économisées par fichier et dollars économisés. Même plateforme, applications très différentes.
Cabinet juridique crée une plateforme de déposition en marque blanche, 8 mois plus vite.
Agence de recherche mondiale lance une plateforme de recherche qualitative en marque blanche.
Cabinet de renseignement juridique traite 5 100+ heures d'appels de transporteurs, 95% plus vite.
Cabinet de conseil en santé réduit le traitement des séances de 8 heures à 0,3.
Fabricant de commerce électronique centralise l'examen des appels et le réduit de 85%.
Cabinet de recrutement réduit le temps de rapport candidat de 5 heures à 10 minutes.
Bring one concept. Leave with it visualized.
Une session de travail, pas un discours commercial. Aucune obligation.
You bring real source material
Customer interviews, survey responses, research notes, or a concept brief. Whatever your team reads through by hand today.
Nous mappons vos thèmes
The categories in your coding framework, your brand pillars, or your research questions. Your words, your structure. Not a template.
You see it visualized, live
Your own material, clustered and mapped into a word cloud or dashboard, with a rollout plan for the whole team.
Concept visualization for every kind of team.
The same clustering and mapping engine, pointed at the concepts your team actually works with.
Campaign concept testing
Turn open-ended survey and ad-response text into a theme map, so you can see which concept actually lands before you spend on it.
Interview & focus group themes
Every transcript clustered into recurring themes automatically, instead of a researcher reading and coding each one by hand.
CX concept mapping
Support tickets and reviews turned into a word cloud of what customers actually mean by “slow” or “confusing.”
Product concept validation
User interviews mapped into themes before a build starts, so the team designs against real language, not assumptions.
Content concept clusters
Cluster keyword and query data into concept groups you can brief writers against, visualized as a shareable map.
Academic concept mapping
Qualitative data coded into concepts and visualized for a thesis, report, or stakeholder deck, with the sourcing intact.
A different approach to visualizing concepts.
Visualizing a concept means turning something abstract, an idea, a theme, a pattern in how people talk, into a form you can see: a word cloud, a cluster map, a chart that tracks it over time. Researchers, marketers, and product teams have done this for years to make sense of interviews, open-ended survey responses, and customer feedback, and to explain findings to people who were not in the room.
Why concept visuals stall
For most teams the process breaks down before it starts. Interviews and notes pile up in a shared folder nobody opens twice. Someone reads through 40 transcripts, pulls a handful of quotes, and builds a slide by hand. The next round of research repeats the exercise from scratch, because nothing from the last one was structured well enough to reuse. By the time a concept map exists, the concept it describes has already moved on.
Reading the concept, not just the words
Speak AI treats every interview, note, or recording as raw material for a concept map, not just a transcript to file away. Each source is read on three layers: the words themselves, the tone, emotion, and energy behind them if it was spoken, and the visual shape those words take once they are clustered. Ask Speak AI to visualize your concept and it pulls the language, weights it by how often and how strongly it comes up, and returns a word cloud or theme map you can customize and white-label as your own dashboard.
Ask across your entire concept library with AI chat, running natively over your recordings and documents with ChatGPT, Claude, and Gemini built in, and query the same structured data straight from your own tools through the Serveur MCP.
What teams ask their concept data
- “Show the core themes in this concept as a word cloud.”
- “Which words and phrases come up most when people describe this idea?”
- “Chart how often this concept has come up over the last six months.”
- “Compare how two customer segments talk about the same concept.”
- “Turn this concept into a dashboard I can share with the team.”
From a folder of notes to a map you can show
The result is a concept that stops living only in someone’s head. Themes surface on their own instead of waiting for someone to reread 40 transcripts. Trends across months of interviews or tickets become a chart instead of a guess, and des tableaux de bord que vous pouvez personnaliser et mettre en marque blanche track how a concept’s language shifts over time, so this quarter’s map is measured against last quarter’s. One legal intelligence firm ran this at scale, turning 5,100+ hours of calls into structured concept data that saved $700K+, sans augmenter les effectifs.
And because concepts rarely live in one file, the same engine scores calls, meetings, and interviews on the same criteria, connecting your concept maps to évaluation des appels et coaching dans chaque conversation de votre équipe.
Conçu avec vous, précis dès le premier jour.
A generic AI tool starts from zero. We shape the themes, clusters, and visuals around how your team already talks about the concept: your vocabulary, your segments, your categories. Then we prime the application on your existing interviews and documents so the first map is already useful. You get a concept map you can act on, not just a chart.
- We design the themes, clusters, and notation around how your team already talks about this concept, not a generic template.
- Your historical interviews, notes, and documents prime the base de connaissances before your first map ships.
- Structured concept data on every source, queryable from Claude, ChatGPT, and Cursor through the Serveur MCP.
Un seul système de référence pour tout ce que dit votre équipe.
En personne et virtuel, au même endroit. Pas besoin de combiner un outil de réunion, un enregistreur vocal et trois autres applications. Speak AI capture tout dans une base de connaissances unique et interrogeable sur laquelle vos applications sont construites.
Une plateforme. Pas un seul modèle.
Un outil IA générique vous verrouille à un modèle et un moteur. Speak AI choisit le bon modèle, le bon moteur de synthèse vocale et la bonne langue pour chaque tâche, type de fichier et équipe, de sorte que vos applications ne sont jamais verrouillées à un seul fournisseur.
Multi-modèle
Claude, ChatGPT et Gemini. Votre choix par tâche, ou apportez votre propre clé.
Multi-moteurs
Transcription acheminée sur plusieurs moteurs pour votre audio, accents et termes.
Plus de 100 langues
Transcrivez et traduisez dans les deux sens, pour les équipes mondiales et multilingues.
MCP, API & intégrations
100+ outils MCP et une couche d’intégration qui se connecte à des centaines d’applications que vous utilisez déjà.
Les équipes construisent sur Speak AI.
Retours réels d’équipes utilisant Speak AI pour la recherche, la transcription, les réunions et le travail client.
Questions fréquemment posées
Votre première fiche de score s'exécute sur un enregistrement réel pendant la consultation. Le déploiement en équipe prend des jours, pas des mois, car nous le construisons avec vous et l’initialisons avec vos enregistrements existants.
Utilisation partagée, pas par siège, sans minimums de volume. Les projets pilotes sont crédités intégralement. Nous définissons les tarifs pour votre flux de travail exact lors de l’appel.
Speak AI gère plus de 100 langues, y compris les conversations qui changent de langue en milieu de phrase, et peut traduire dans les deux sens.
Oui. Les déploiements en marque blanche s’exécutent sur votre propre domaine avec votre logo, y compris les plateformes clients que les agences revendent, plus les applications iOS et Android de marque.
Gather the source material, interviews, notes, survey responses, or a recording, and let Speak AI cluster the language into themes. From there you generate a word cloud, a theme-frequency chart, or a full dashboard from those clusters, no design tool required.
Speak AI's word cloud generator and text analysis tools are available on a free plan with usage limits. Paid plans raise the volume, unlock white-label dashboards, and add the MCP server for querying your concept data from Claude, ChatGPT, or Cursor.
Capture the raw language people actually use around your idea first, in interviews, feedback, or notes, then let Speak AI turn that language into a concept map. The map reflects real wording, not a designer's guess at what the idea means.
It means turning information that is hard to hold in your head, like a theme spread across 40 interviews, into a form you can see at a glance: a word cloud, a chart, or a map. Speak AI builds that view directly from your transcripts and notes.
Enterprise construit le support des BAA, les accords de traitement des données personnalisés, SSO et les options de résidence des données. Nous partagerons la documentation de sécurité sur demande et adapterons chaque build à vos exigences.
From a folder of notes to a concept you can show.
Book a free consult, bring real interviews, feedback, or research notes, and watch them turned into a word cloud or concept map before the meeting ends. Consults include early access to new features, an extended trial, and implementation credits.
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