Analysis for machines, relationships for humans

In this blog, we share our vision of tomorrow's customer relationships: how conversational analysis is revolutionizing Quality Monitoring, how AI decodes the voice of the customer, and most importantly, how to transform these insights into memorable experiences.
➜ Strategies, feedback, and innovations: everything you need to elevate your customer experience.


<b>CSV export of conversations</b>: connect your Raisetalk analyses to your entire data ecosystem

The asynchronous CSV export of analyzed conversations is now available directly from Raisetalk. Your analyses connect to your CRM, your data warehouse, your BI (Power BI, Tableau, Looker), your reporting pipelines or your internal models. Conversational data that flows, intersects and enriches with the rest of your ecosystem.

<b>OpenAPI documentation</b>: generate a Raisetalk SDK in the language of your choice

The Raisetalk API documentation is now published in OpenAPI format, generated automatically from the source code and updated on every deployment. In a single command, you can generate a working client SDK in more than 50 languages (PHP, Python, TypeScript, Java, Go, etc.).

What If You Could <b>Query Your Customer Calls</b> in Natural Language?

Your customer conversations contain thousands of signals buried in hours of recordings. What if you could ask a question in natural language — 'which calls mention a billing issue this month?' — and get a synthesized, sourced answer in seconds? Raisetalk transforms your transcriptions into a searchable knowledge base.

<b>KPMG CEE 2025</b>: What the Customer Experience Barometer Reveals About Contact Centers and Conversational Analysis

The KPMG CEE 2025-2026 barometer evaluated 240 brands on 6 pillars of customer experience. The findings are clear: Integrity, Empathy, and Personalization — the most impactful pillars — are played out in conversations. Discover what this means for your contact center and how conversational analysis makes these pillars measurable.

Customer Conversation Analysis: <b>5 Concrete Use Cases</b>

Discover 5 concrete use cases for customer conversation analysis: churn detection, cross-sell, compliance, agent coaching, and customer satisfaction improvement.

The complete guide to leveraging <b>your interactions</b>.

Far beyond simple multilingual transcription, these solutions integrate advanced features such as sentiment analysis, attitude detection, and strategic insight extraction from every interaction.

What if <b>every customer call</b> became a <b>growth</b> opportunity?

Phone conversations are full of valuable insights... but 90% are never analyzed.

With r<b>ai</b>setalk, your conversations are a <b>goldmine</b>

Your conversations are a goldmine, and Raisetalk allows you to extract them reliably and in detail.