Turn every call
dans signals you can trust.
Conversation intelligence software should tell revenue and CX teams what actually happened on a call, not just that it happened. Speak AI transcribes every call and extracts the deal risk, competitor mentions, and buying signals your team tracks, so nothing sits in a recording nobody replays. 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 call. Leave with it scored.
Une session de travail, pas un discours commercial. Aucune obligation.
You bring a real call
A sales call, a renewal call, a support escalation. Whatever your team currently reviews by sampling a handful at random.
We map your signal set
The deal risks, competitor mentions, and buying signals your team already tracks in a spreadsheet. Your words, your weights. Not a template.
Vous le voyez noté, en direct
Your own call, scored against your own signals, with a rollout plan for the whole revenue team.
Conversation intelligence for every team on the call.
The same engine, pointed at the calls each team already runs.
Deal risk & pipeline signals
Objections, competitor mentions, and next steps extracted from every call, so managers coach the deals that need it, not the ones they happened to hear.
Churn risk & escalation signals
Every renewal and support call read for frustration, churn language, and unresolved issues, not sampled at random.
Message testing & positioning
What prospects actually say back to your pitch, aggregated across hundreds of calls into real voice-of-customer data.
Feature requests & friction
Feature asks and friction points pulled out of sales and support calls, tracked against what shipped.
Pipeline & forecast signals
Deal risk and buying signals fed into your CRM and dashboards as structured fields, not a call recording nobody opens.
Disclosure & QA coverage
Every regulated call checked for required disclosures instead of a compliance team sampling 2%.
A different approach to conversation intelligence.
Conversation intelligence software analyzes customer conversations, sales calls, and support calls to surface what happened and why it matters: deal risk, customer sentiment, competitor mentions, and compliance gaps that would otherwise sit unreviewed in a recording. Revenue, customer experience, and RevOps teams use it to coach reps, protect renewals, and catch the calls a 2% QA sample would never reach.
Why conversation intelligence stalls at the platform level
Platforms like Verint, Clarabridge, NICE, CallMiner, and TalkIQ built real category-defining tools here, and each does enterprise-scale call analysis well: sentiment scoring, keyword spotting, compliance flags. The limit for most teams is not the analysis, it is the deployment. These platforms are built for call centers with dedicated analytics teams and long implementation cycles, not a revenue team that wants its own signals live this quarter. A manager with forty calls a week and a real pipeline runs out of patience long before the rollout finishes.
Reading the call, not just the transcript
Speak AI reads every call the way an experienced sales manager would, at machine speed. Each call is transcribed in your language, with 100+ supported, and then the delivery itself is read alongside the words: tone, pace, and hesitation, not just the transcript text. Your deal-risk criteria, your competitor list, and your buying-signal taxonomy are applied consistently across every call, and the results land as structured fields your CRM and dashboards can use.
Then the questions start. Ask across your entire call library with AI chat, running the same follow-up questions a sales manager once asked one call at a time, now native across recordings with ChatGPT, Claude, and Gemini built in.
What teams ask their call data
- “Which calls this week mentioned a competitor by name?”
- “Show me every call where the prospect raised a pricing objection.”
- “Which renewal calls this month show churn language?”
- “What is the most common reason deals stall after discovery?”
- “Summarize every feature request mentioned on sales calls this quarter.”
From a folder of recordings to a signal feed
The result is a live signal feed instead of a folder of recordings nobody has time to replay. Deal risk and churn language surface the day the call happens instead of at the next QBR, and des tableaux de bord que vous pouvez personnaliser et mettre en marque blanche track those signals over time, so this month’s pipeline risk is measured against last month’s. One legal intelligence firm put its call volume through this workflow and traité 5 100+ heures et économisé 700 K$.
And because conversation intelligence rarely stops at the call, the same engine, running on Claude, ChatGPT, and Gemini, connects your calls 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 signals, fields, and prompts around the deal risks and buying signals your team already tracks, then prime the application on your existing calls so it is useful from the first file. You get structured data back, not just a transcript.
- We design the context, signals, and notation around your revenue playbook, not a generic taxonomy.
- Your historical calls and CRM data prime the base de connaissances avant la mise en ligne.
- Structured data on every call, queryable from Claude, ChatGPT, and Cursor through the Serveur MCP.
Intégrez vos applications dans Claude, ChatGPT et Cursor.
Pas de terminal. Pas de npm. Pas de configuration. Le serveur MCP de Speak AI’s vous donne tout assistant 100+ outils to search, analyze, and act on your call data in about 60 seconds. Speak AI runs on Claude, ChatGPT, and Gemini, your choice per task, wired into the hundreds of apps in your stack through an integrations layer and a full developer API.
One system of record for every call your team makes.
Sales calls, support calls, and renewal calls, in one place. No stitching together a dialer, a meeting tool, and a separate analytics platform. Speak AI captures it all into one searchable knowledge base your dashboards are built on.
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.
Software that transcribes and analyzes customer conversations, mainly sales and support calls, to surface deal risk, sentiment, competitor mentions, and compliance issues instead of leaving that in a recording nobody replays. Verint, Clarabridge, NICE, CallMiner, and TalkIQ are established platforms in the category, generally built for call centers with a dedicated analytics team.
Yes. Verint and NICE are built for large call center deployments with long implementation timelines. Speak AI is built for revenue and CX teams who want their own deal-risk and buying-signal fields live in weeks, without a dedicated analytics team to run it.
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 one call to a working signal feed.
Book a free consult, bring a real call, and watch it scored on your own signals before the meeting ends. Consults include early access to new features, an extended trial, and implementation credits.
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