Turn your concept
in 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.
I risultati che i team realizzano.
Tempo per un prodotto live, ore risparmiate per file e dollari risparmiati. Stessa piattaforma, applicazioni molto diverse.
Un’azienda di legal tech realizza una piattaforma di deposizioni white-label, 8 mesi più velocemente.
Un’agenzia di ricerca globale lancia una piattaforma di ricerca qualitativa white-label.
Studio legale elabora 5.100+ ore di chiamate vettoriali, 95% più velocemente.
Studio di consulenza sanitaria riduce l’elaborazione delle sessioni da 8 ore a 0,3.
Produttore e-commerce centralizza la revisione delle chiamate e la riduce dell’85%.
Agenzia di reclutamento riduce il tempo dei rapporti sui candidati da 5 ore a 10 minuti.
Bring one concept. Leave with it visualized.
Una sessione di lavoro, non una presentazione commerciale. Nessun obbligo.
You bring real source material
Customer interviews, survey responses, research notes, or a concept brief. Whatever your team reads through by hand today.
Mappiamo i tuoi temi
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 Server 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 dashboard che puoi personalizzare e white-label 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+, senza aumentare il personale.
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 valutazione delle chiamate e coaching in ogni conversazione che il tuo team ha.
Progettato con te, preciso dal primo giorno.
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 valutazione around how your team already talks about this concept, not a generic template.
- Your historical interviews, notes, and documents prime the base di conoscenza before your first map ships.
- Structured concept data on every source, queryable from Claude, ChatGPT, and Cursor through the Server MCP.
Un unico sistema di registrazione per tutto ciò che dice il tuo team.
In-person e virtual, in un unico posto. Nessuna necessità di integrare uno strumento di riunioni, un registratore vocale e tre altre app. Speak AI cattura tutto in una knowledge base ricercabile su cui le tue applicazioni sono costruite.
Una piattaforma. Non un solo modello.
Uno strumento AI generico ti vincola a un modello e a un motore. Speak AI sceglie il modello giusto, il motore di riconoscimento vocale e la lingua per ogni attività, tipo di file e team, quindi le tue applicazioni non vengono mai vincolate a un singolo fornitore.
Multi-modello
Claude, ChatGPT e Gemini. La tua scelta per ogni compito, o porta la tua chiave.
Multi-motore
Trascrizione indirizzata attraverso più motori per il tuo audio, accenti e termini.
Oltre 100 lingue
Trascrivi e traduci in entrata e in uscita, per team globali e multilingue.
MCP, API & integrazioni
Oltre 100 strumenti MCP e un livello di integrazione che si connette a centinaia di app che già utilizzi.
I team costruiscono su Speak AI.
Feedback reali da team che usano Speak AI per ricerca, trascrizione, riunioni e lavoro con clienti.
Domande frequenti
La tua prima scorecard viene eseguita su una registrazione reale durante la consulenza. Il rollout del team richiede giorni, non mesi, perché la costruiamo con te e la prepariamo sulle tue registrazioni esistenti.
Utilizzo in pool, non per utente, senza volumi minimi. I pilot sono accreditati interamente. Definiamo il pricing in base al tuo workflow esatto durante la call.
Speak AI gestisce più di 100 lingue, incluse conversazioni che cambiano lingua a metà frase, e può tradurre in entrata e in uscita.
Sì. I white-label deployment vengono eseguiti nel tuo dominio con il tuo logo, incluse piattaforme client che le agenzie rivendono, più app iOS e Android personalizzate.
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 supporta BAA, accordi personalizzati di elaborazione dati, SSO e opzioni di residenza dei dati. Condividiamo documentazione di sicurezza su richiesta e definiamo ogni implementazione in base alle tue esigenze.
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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