Turn your concept
hinein 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.
Die Erfolge, die Teams liefern.
Zeit bis zum Live-Produkt, eingesparte Stunden pro Datei und eingesparte Dollar. Dieselbe Plattform, sehr unterschiedliche Anwendungen.
Jura-Unternehmen entwickelt eine White-Label-Deposition-Plattform, 8 Monate schneller.
Globale Forschungsagentur startet eine White-Label-Plattform für qualitative Forschung.
Jura-Intelligence-Unternehmen verarbeitet 5.100+ Stunden Carrier-Anrufe, 95% schneller.
Healthcare-Beratungsunternehmen reduziert Sitzungsverarbeitung von 8 Stunden auf 0,3.
E-Commerce-Hersteller zentralisiert Call-Überprüfung und reduziert sie um 85%.
Personalvermittlungsunternehmen reduziert Zeit für Kandidatenberichte von 5 Stunden auf 10 Minuten.
Bring one concept. Leave with it visualized.
Eine echte Arbeitssitzung, kein Verkaufsgespräch. Ohne Verpflichtung.
You bring real source material
Customer interviews, survey responses, research notes, or a concept brief. Whatever your team reads through by hand today.
Wir ordnen Ihre Themen
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 MCP Server.
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 Dashboards, die Sie anpassen und als White-Label nutzen können 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+, ohne die Kopfzahl zu erhöhen.
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 Anrufbewertung und Coaching über jedes Gespräch, das Ihr Team führt.
Entwickelt mit Ihnen, vom ersten Tag an genau.
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 Bewertung around how your team already talks about this concept, not a generic template.
- Your historical interviews, notes, and documents prime the Wissensdatenbank before your first map ships.
- Structured concept data on every source, queryable from Claude, ChatGPT, and Cursor through the MCP Server.
Ein zentrales System für alles, was Ihr Team sagt.
Vor Ort und virtuell, an einem Ort. Kein Zusammennähen eines Meeting-Tools, eines Sprachrekorders und drei anderer Apps. Speak AI erfasst alles in einer durchsuchbaren Wissensbasis, auf der Ihre Anwendungen aufgebaut sind.
Eine Plattform. Nicht ein Modell.
Ein generisches AI-Tool bindet Sie an ein Modell und eine Engine. Speak AI wählt das richtige Modell, die richtige Speech-Engine und die richtige Sprache für jede Aufgabe, jeden Dateityp und jedes Team – so dass Ihre Anwendungen nie an einen einzelnen Anbieter gebunden sind.
Multi-Modell
Claude, ChatGPT und Gemini. Ihre Wahl pro Aufgabe oder bringen Sie Ihren eigenen Key.
Multi-Engine
Transkription über mehrere Engines für Ihre Audio, Akzente und Begriffe geleitet.
Mehr als 100 Sprachen
Transkribieren und übersetzen Sie in beide Richtungen für globale und mehrsprachige Teams.
MCP, API & Integrationen
100+ MCP-Tools und eine Integrations-Schicht, die sich mit Hunderten von Apps verbindet, die Sie bereits verwenden.
Teams bauen auf Speak AI.
Echtes Feedback von Teams, die Speak AI für Recherche, Transkription, Meetings und Kundenarbeit nutzen.
Häufig gestellte Fragen
Ihre erste Scorecard läuft auf einer echten Aufnahme während der Beratung. Die Team-Bereitstellung dauert Tage, keine Monate, weil wir sie mit Ihnen aufbauen und auf Ihren vorhandenen Aufnahmen trainieren.
Gebündelte Nutzung, nicht pro Benutzer, ohne Mindestvolumen. Piloten werden vollständig angerechnet. Wir kalkulieren die Preisgestaltung für Ihren exakten Workflow im Gespräch.
Speak AI unterstützt 100+ Sprachen, einschließlich Gespräche, die mitten im Satz die Sprache wechseln, und kann übersetzen.
Ja. White-Label-Bereitstellungen laufen auf Ihrer eigenen Domain mit Ihrem Logo, einschließlich Client-Plattformen, die Agenturen weiterverkaufen, plus mit Branding versehene iOS- und Android-Apps.
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 Builds unterstützen BAAs, benutzerdefinierte Datenverarbeitungsvereinbarungen, SSO und Datenspeicherungsoptionen. Wir teilen Sicherheitsdokumentation auf Anfrage und gestalten jeden Build nach Ihren Anforderungen.
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.