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07/11/20263640

CallLayer AI QA Coach

Call-center QA platform that scores conversations, finds missed moments, and drafts coaching notes for team leads.

Core Metrics

Monthly Revenue

Monthly Profit

Monthly Traffic

Monthly Users

Growth Trend

N/A

Cost Structure

N/A

Project Age

2-3 years

Owner Time

8 hrs/week

Business Introduction

CallLayer reviews recorded calls and produces structured QA reports for sales and support managers. It highlights missed compliance points, weak discovery questions, tone issues, and coaching opportunities, then packages recommended feedback into concise manager notes. The product targets teams that want practical QA automation without an enterprise contact-center stack.

Who are the target users?

Inside sales teams, support operations, BPO managers, and customer experience leaders reviewing recorded calls.

Why is there demand?

Managers want better quality control across more conversations, but manual QA sampling misses too much signal.

Main growth channels?

Direct B2B sales, API marketplace listings, content creator partnerships, and organic search traffic from technical documentation.

Why is the owner selling?

The founder has a strong services business and wants to transfer the software to an operator who can scale self-serve acquisition.

Basic Information

Website URL

Founded Date

2023-09-15

Team Size

2-5 People

Monetization Methods

Not disclosed

Contact

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Includes verification data, AI due diligence, risk signals, and supplemental attachments.

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Handover Assets

Domain Name

Included in handover

Source Code

Full Git repository

Database

Included in handover

Cloud Configuration

Server and deployment access included

Prompt Library

Technical docs + operation guides

Automation Workflows

No automation workflows listed

Social Media Accounts

Documentation & SOP

Technical docs + operation guides

Training Support

30-day live handover support

Q&A

The seller commits to 10 hours of training and support within 30 days of closing. Additional support can be negotiated.

There are existing customer contracts that will transfer to the new owner. All contracts are on monthly/annual terms with standard termination clauses.

The stack uses modern, well-documented technologies. A developer with Python/FastAPI experience should be productive within 1-2 weeks.

Support is handled via email and a help desk system. Average response time is 4 hours during business days.

No pending legal issues. The business has clean IP ownership and no outstanding disputes.