---
title: CoreCx AI Hub | Speech Analytics and Auto-QM
url: https://www.corecx.ai/products/corecx-ai-hub/
description: Speech analytics on every call: transcripts, sentiment, keyword and phrase spotting, call drivers and automated quality scoring, on-premise or in your own…
publisher: CoreCx AI Pte Ltd
updated: 2026-10-20
---

Understand

# CoreCx AI Hub

Speech analytics on every call: transcribed, measured for sentiment, silence and overtalk, summarised, searched semantically and graded against your QM forms. Run it on-premise or in your own cloud, where models can work fully offline.

-   Speech analytics on 100% of calls
-   Keyword and phrase spotting
-   Auto-QM on your forms
-   Multilingual
-   On-premise or your own cloud

**Deployment: 1, 2 or 3 nodes**  
Models: Local, ≈15 GB

## Speech analytics, conversation intelligence and autonomous quality management, on-premise or in your own cloud.

### Understand every call

Speaker-separated transcripts with word timestamps, language detection, tension scoring and recovered-call flags.

### Automate quality management

Auto-QM scores every call against your own QM forms, instead of a small sample.

### Search by meaning

Semantic search over calls and segments, theme discovery, AI summaries, intent, chapters, silence and overtalk.

How it works

## From call to insight, automatically

Every recorded call flows through the same five steps, with no sampling and no manual tagging.

Step 1**Capture**

Calls arrive from iFlux Recorder, from every telephony vendor, sealed under your keys.

Step 2**Transcribe**

Speaker-separated transcripts with word timestamps, in many languages and accents.

Step 3**Analyse**

Sentiment, tension, silence, overtalk, keywords, phrases and the reasons customers call.

Step 4**Score**

Every call graded against your QM forms, with calibration and disputes.

Step 5**Act**

Coaching drafts, worklists and reports by email, SFTP or webhook.

Speech analytics

## What speech analytics measures on every call

### Sentiment and tension

How the customer feels, and whether it rises or falls during the call.

### Talk, silence and overtalk

Talk-to-listen ratio, long silences and interruptions, per agent and team.

### Keyword and phrase spotting

Find every call where a word or phrase was said, such as “cancel my card”.

### Call drivers and themes

The real reasons customers call, discovered and trended automatically.

### Intent and summaries

A short summary, intent and chapters for every conversation.

### Quality scores

Every call scored against your QM forms instead of a sample.

### Language detection

The language of every call, including calls that mix languages.

### Recovered calls

Calls that started badly and ended well, so good work is seen.

Auto-QM

## Auto-QM, explained

Autonomous quality management scores every call against your own QM forms, the way your best evaluator would, and leaves people in charge of the final score.

### How Auto-QM works

1**Build your form**

Sections, questions and weights, with critical items marked. Forms are versioned with effective dates, and each queue can have its own.

2**Choose how each question is answered**

A phrase rule, a call metric, an AI judgement or a manual answer. You decide per question.

3**Every call is scored**

After transcription, 100 percent of calls are scored automatically. A missed critical item fails the call, and N/A questions are left out of the score.

4**A person confirms**

Supervisors confirm or override each score. No automatic score becomes final without a person, and blind calibration keeps evaluators aligned.

5**Coach and improve**

Agents see their results and can dispute them. Coaching drafts, worklists and reports show where to act next.

### Four ways a question can be answered

Phrase ruleDid the agent give the recording disclosure?

Words and phrases, wildcards, NEAR, BEFORE and AFTER, said by the agent or the customer.

Call metricWas dead air kept under ten seconds?

Silence, overtalk, hold, talk-to-listen ratio and other call measurements.

AI judgementDid the agent show empathy?

A language model reads the transcript and answers questions that need understanding.

ManualWas the complaint handled to policy?

Left for the evaluator, alongside the automatic answers on the same form.

### Traditional QA compared with Auto-QM

Traditional QA

CoreCx Auto-QM

Calls reviewed

A small sample, picked by hand

Every call, automatically

Time to feedback

Days or weeks

The same day

Consistency

Depends on the evaluator

Same form and rules on every call, plus blind calibration

Compliance misses

Found by chance

Critical items checked on every call and auto-fail

Evaluator time

Spent listening

Spent confirming and coaching

Capabilities

## What CoreCx AI Hub does for you

### Understand every call

Speaker-separated transcripts with word timestamps, language detection, tension scoring and recovered-call flags.

-   Speaker separation
-   Language detection
-   Tension score

### Automate quality management

Auto-QM scores every call against your own QM forms, instead of a small sample. Critical misses fail the call automatically, a supervisor confirms every final score, and coaching, disputes and calibration all happen in the same place.

-   Auto-QM on your own forms
-   Critical items auto-fail
-   Supervisor confirms every score

### Search by meaning

Semantic search over calls and segments, theme discovery, AI summaries, intent, chapters, silence and overtalk.

-   Semantic search
-   Theme discovery
-   AI summaries

### Speech analytics on every call

Sentiment and tension, talk time, silence, overtalk and interruptions, keyword and phrase spotting, and the reasons customers call, measured on 100 percent of calls and trended by agent, team and queue.

-   Sentiment and tension
-   Talk, silence and overtalk
-   Keyword and phrase spotting
-   Call drivers and trends

### Built for every language

A multilingual portal, speech and language models for many languages and accents, and reports on schedule by email and SFTP.

-   Multilingual models
-   Mixed-language calls
-   Scheduled reports

**1, 2 or 3 nodes**  
Deployment

**Local, ≈15 GB**  
Models

**37**  
Ingestion rule fields

**Multilingual**  
Languages

Integrations

## Works with what you run

-   iFlux Recorder
-   On-premise or your own cloud speech and language models
-   Single sign-on
-   Email, SFTP and webhook delivery

Security

## Built in, not bolted on

-   Multi-tenant with row-level isolation
-   Granular roles and permissions
-   PII redaction by default, unmasking audited
-   Offline, signed installer with SBOM

Use cases

## Where CoreCx AI Hub makes the difference

CoreCx AI Hub · Quality manager

### Score every call, not a two percent sample

The problem

QA teams listen to a sample and miss the calls that matter.

How CoreCx solves it

Autonomous quality management grades every call against your QM forms, with calibration, disputes, coaching drafts and worklists.

How this differs

Cloud analytics send your audio to the vendor to be scored. CoreCx scores 100 percent, on-premise or in your own cloud.

[CoreCx AI Hub](https://www.corecx.ai/products/corecx-ai-hub/)

CoreCx AI Hub · CISO, data protection officer

### Conversation intelligence without the audio leaving the building

The problem

Speech AI means shipping customer audio to a foreign cloud.

How CoreCx solves it

Speech, language, tone and embedding models run in the environment you choose, including fully offline on-premise.

How this differs

Competitors’ AI is cloud-only. CoreCx runs on-premise or in your own cloud.

[CoreCx AI Hub](https://www.corecx.ai/products/corecx-ai-hub/)

CoreCx AI Hub · Head of contact centre

### Understand every language your customers speak

The problem

English-first analytics mis-transcribe other languages, accents and calls that mix languages.

How CoreCx solves it

Speech and language models for many languages and accents, a multilingual portal and glossaries for your industry.

How this differs

Many vendors treat languages beyond English as an add-on. CoreCx treats them as the default.

[CoreCx AI Hub](https://www.corecx.ai/products/corecx-ai-hub/)

## See what else you can do with CoreCx

[

### iFlux Recorder

Multivendor call recording, compliance-grade and sealed the moment every call is written.

Learn more](https://www.corecx.ai/products/iflux-recorder/)[

### iFlux Secure Search & Replay

Retire the legacy recorder. Keep every recording.

Learn more](https://www.corecx.ai/products/iflux-secure-search-and-replay/)

## Put CoreCx AI Hub to work on your own infrastructure

A pilot against your real telephony, on your hardware, in days.

## Frequently asked questions about CoreCx AI Hub

What does CoreCx AI Hub do?

Speech analytics on every call: transcribed, measured for sentiment, silence and overtalk, summarised, searched semantically and graded against your QM forms. Run it on-premise or in your own cloud, where models can work fully offline.

Can CoreCx AI Hub run on-premise or in your own cloud?

Both. Most customers install it on-premise from a signed offline bundle, with no internet connection needed. You can also bring your own cloud and run it in your own cloud subscription. Wherever it runs, it never sends your data back to CoreCx.

What does CoreCx AI Hub integrate with?

iFlux Recorder, On-premise or your own cloud speech and language models, Single sign-on, Email, SFTP and webhook delivery.

How is CoreCx AI Hub secured?

Multi-tenant with row-level isolation. Granular roles and permissions. PII redaction by default, unmasking audited. Offline, signed installer with SBOM.

Contact: contact@corecx.ai · https://www.corecx.ai/contact/
