Turn your concept
naar binnen 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.
De winsten die teams behalen.
Tijd tot een live product, uren bespaard per bestand en dollars bespaard. Hetzelfde platform, zeer verschillende toepassingen.
Legal tech bedrijf bouwt white-label depositoriumplatform, 8 maanden sneller.
Wereldwijd onderzoeksbureau lanceert white-label platform voor kwalitatief onderzoek.
Legal intelligence bedrijf verwerkt 5.100+ uur drageroproepen, 95% sneller.
Healthcare consultancybedrijf reduceerde sessieverwerkingstijd van 8 uur naar 0,3.
E-commerce fabrikant centraliseert oproepbeoordeling en vermindert deze met 85%.
Wervingsbedrijf reduceert tijd voor kandidaatrapporten van 5 uur naar 10 minuten.
Bring one concept. Leave with it visualized.
Een werkzitting, geen verkooppraat. Geen verplichting.
You bring real source material
Customer interviews, survey responses, research notes, or a concept brief. Whatever your team reads through by hand today.
We map your themes
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 u kunt aanpassen en 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+, zonder extra personeelsleden in te huren.
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 call scoring en coaching in elk gesprek dat uw team voert.
Ontworpen met u, nauwkeurig vanaf dag één.
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 scoring around how your team already talks about this concept, not a generic template.
- Your historical interviews, notes, and documents prime the kennisbank before your first map ships.
- Structured concept data on every source, queryable from Claude, ChatGPT, and Cursor through the MCP server.
Eén systeem van waarheid voor alles wat uw team zegt.
Ter plaatse en virtueel, op één plek. Geen combinatie van een vergaderingtool, een spraakrecorder en drie andere apps. Speak AI vangt alles in één doorzoekbare kennisbank waarop uw applicaties zijn gebouwd.
Één platform. Niet één model.
Een generiek AI-tool bindt u aan één model en één engine. Speak AI kiest het juiste model, spraakengine en taal voor elke taak, bestandstype en team, zodat uw applicaties nooit aan een enkele leverancier zijn gebonden.
Multi-model
Claude, ChatGPT en Gemini. Uw keuze per taak, of breng uw eigen sleutel mee.
Multi-engine
Transcriptie gerouteerd over meerdere engines voor uw audio, accenten en termen.
Meer dan 100 talen
Transcribeer en vertaal in en uit, voor globale en meertalige teams.
MCP, API & integraties
100+ MCP tools en een integratielaag die verbinding maakt met honderden apps die u al gebruikt.
Teams bouwen op Speak AI.
Echte feedback van teams die Speak AI gebruiken voor onderzoek, transcriptie, meetings en klantwerk.
Veelgestelde vragen
Uw eerste scorecard draait op een echte opname tijdens het consult. Team-rollout duurt dagen, niet maanden, omdat we het samen met u bouwen en het op uw bestaande opnamen instellen.
Gepoolde gebruik, niet per-seat, zonder volume minimums. Pilots worden volledig gecrediteerd. We bepalen de prijzen voor uw exacte workflow op het gesprek.
Speak AI verwerkt meer dan 100 talen, inclusief gesprekken die halverwege de zin van taal wisselen, en kan in en uit vertalen.
Ja. White-label-implementaties draaien op uw eigen domein met uw logo, inclusief clientplatformen die agentschappen doorverkopen, plus gebrande iOS- en 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 ondersteunen BAA’s, aangepaste gegevensverwerkingsovereenkomsten, SSO en opties voor gegevensresidentie. We delen beveiligingsdocumentatie op aanvraag en bepalen elke build naar uw vereisten.
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.