Sentiment Analyzer

Measure brand resonance and market perception using multimodal AI tuned for enterprise contexts with structured voice-of-customer signals.

What It Solves

  • Generic sentiment scores: Consumer-grade tools miss the nuance in B2B and regulated industries

  • Siloed feedback: Customer signals scattered across surveys, social, calls, and support tickets

  • No context: Polarity scores without understanding what's driving perception shifts

How It Works

1

Collect & Unify

Aggregate unstructured feedback from surveys, reviews, transcripts, and social channels into one unified dataset.

2

Analyze Themes

Apply domain-specific lexicon libraries and multimodal AI to extract themes, emotion, and intent at scale.

3

Deliver Insights

Surface trending topics, perception shifts, and actionable insights tied directly to your business objectives.

Use Cases

Pharma & Life Sciences

Monitor patient and HCP sentiment around therapeutic campaigns while maintaining HIPAA compliance and adverse event detection.

Technology

Track brand perception and product feedback across developer forums, review sites, and support channels in real time.

Telecom

Measure customer satisfaction and brand loyalty signals to predict churn and optimize retention campaigns.

Designed for Decision Integrity

The Sentiment Analyzer is built on our Adaptive Intelligence Layers™ (AIL) framework, ensuring all insights are traceable, context-aware, and aligned with ethical AI principles. It doesn't just measure emotion—it connects voice-of-customer signals to strategic KPIs, compliance requirements, and continuous learning to help your team understand what customers truly mean.

Ready to understand what your customers really mean?

Discover how the Sentiment Analyzer helps enterprise teams turn unstructured feedback into structured, actionable intelligence.