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Text & Audio Analytics

Turn thousands of customer conversations and reviews into insight you can actually act on

What We Build

Real examples, not abstractions

Bulk text & call classification pipeline

Reads and tags every survey, review, and call transcript automatically at full volume, with no manual sampling required.

Custom topic & sentiment taxonomy

Builds topic and sentiment categories tailored to your industry and language, so patterns invisible one-by-one become clear in aggregate.

Emerging-issue alerting system

Watches classified feedback continuously and alerts your team the moment a complaint topic spikes, before it becomes a churn driver.

Call transcription & QA scoring

Transcribes recorded calls and scores them against your QA rubric automatically, turning call libraries into a coaching resource.

What We Solve

Common challenges — and exactly how we address them

Scale

Signal buried in volume

Thousands of surveys, emails, and call recordings arrive monthly with no practical way to review them at scale.

Reads and classifies every survey, review, and call recording automatically at any volume — no manual sampling required.

Insight

Patterns invisible at human scale

The same complaints repeat across thousands of responses — but you can't see the pattern when reading one at a time.

Topic categories and sentiment dimensions tailored to your industry and language.

Speed

Issues found too late to act

By the time a trend is identified manually, it's already driving churn you could have prevented.

Surfaces emerging complaint patterns before they become widespread churn drivers — alert as soon as a topic spikes.

How It Works

From first conversation to working system

  1. 1

    Data Audit

    We review your existing feedback channels, call recordings, and text data to assess volume and quality.

  2. 2

    Taxonomy Design

    We design the topic categories and sentiment dimensions that match your business — not generic labels.

  3. 3

    Model Training

    We train classification and sentiment models on your domain-specific language and validated examples.

  4. 4

    Pipeline Build

    We build automated pipelines that process new data continuously as it arrives — no manual work.

  5. 5

    Dashboard & Alerts

    We surface the results in dashboards and alert you when a topic spikes or sentiment shifts suddenly.

Ready to explore this for your business?

Tell us about your situation. We'll show you what's possible — in plain language.

Schedule a free meeting