conversations in call centers, sales teams, and customer support.

At the heart of Intelia is a high-precision speech-to-text transcription engine, trained on millions of hours of audio in various languages and accents. This system not only converts spoken words into text but also captures nuances such as pauses, intonation, and rhythm, which can reveal much about the customer's emotional state. Real-time transcription allows agents to focus entirely on the conversation, knowing that every detail is being captured for later analysis.

But Intelia goes beyond mere transcription. Its advanced NLP system breaks down each sentence to understand the underlying context, intent, and sentiment. For example, when a customer says "I've tried to resolve this several times", the AI identifies frustration and repetition, signaling a recurring problem that needs special attention. Similarly, phrases like "I'm thinking about switching providers" are flagged as churn risk, triggering retention protocols.

The platform also employs machine learning models to automatically categorize calls into predefined types - such as product complaints, billing inquiries, or up-selling opportunities - allowing companies to quickly understand the distribution of their interactions. Additionally, topic detection algorithms discover new emerging categories, such as a newly arisen technical issue, proactively alerting managers.