About CueIn

Cuein provides a generative AI co-pilot that consolidates customer support data across various channels, enabling real-time analysis of interactions to identify trends and root causes of customer dissatisfaction. This technology enhances customer experience by optimizing chatbot performance, improving agent workflows, and increasing overall customer satisfaction metrics.

```xml <problem> Customer experience (CX) teams struggle to analyze conversational data across multiple channels (chat, voice, email) and vendors, leading to inefficiencies in identifying trends, understanding customer dissatisfaction, and optimizing chatbot performance. Manual analysis of transcripts and voice calls is time-consuming, error-prone, and doesn't scale effectively. </problem> <solution> Cuein offers an AI co-pilot that consolidates customer support data from various sources to provide real-time analysis of customer interactions. The platform uses inferred CSAT and CSAT factors to pinpoint low satisfaction interactions, discover real-time trends, and automate root cause analysis. By visualizing user interactions with bots, Cuein helps diagnose breaking points, prompt failures, and hallucinations, enabling prompt and dialog improvements. The co-pilot also summarizes agent actions to fine-tune chatbots and scores agents on multiple dimensions to improve training and performance. </solution> <features> - Inferred CSAT: Augments survey CSAT with AI-based analysis of bot and human interactions. - Bot Optimization: Visualizes user interactions to diagnose breaking points and improve bot containment. - Agent QA: Scores agents on inferred CSAT, frustration, and policy adherence. - Voice Analytics: Analyzes voice calls to identify trends and root causes of customer contact patterns. - Product Optimization: Provides insights into company and product issues to reduce customer support volume. - Knowledge Optimization: Surfaces actionable root causes behind customer contact patterns. - Cross-Channel Integration: Integrates data across chat, voice, email, and case management systems. - Secure and Compliant: SOC2 Type2 and GDPR compliant with PII/PHI redaction. </features> <target_audience> Cuein targets customer experience teams, contact centers, and organizations seeking to improve customer satisfaction, reduce support costs, and optimize chatbot performance. </target_audience> ```

What does CueIn do?

Where is CueIn located?

CueIn is based in San Francisco, United States.

When was CueIn founded?

CueIn was founded in 2021.

How much funding has CueIn raised?

CueIn has raised 5100000.

Location

San Francisco, United States

Founded

2021

Funding

5100000

Employees

10 employees

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CueIn

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Executive Summary

cuein.ai 2K+

Founded 2021 – San Francisco, United States

Funding

Estimated Funding

$5M+

Team (10+)

No team information available.

Company Description

Problem

Customer experience (CX) teams struggle to analyze conversational data across multiple channels (chat, voice, email) and vendors, leading to inefficiencies in identifying trends, understanding customer dissatisfaction, and optimizing chatbot performance. Manual analysis of transcripts and voice calls is time-consuming, error-prone, and doesn't scale effectively.

Solution

Cuein offers an AI co-pilot that consolidates customer support data from various sources to provide real-time analysis of customer interactions. The platform uses inferred CSAT and CSAT factors to pinpoint low satisfaction interactions, discover real-time trends, and automate root cause analysis. By visualizing user interactions with bots, Cuein helps diagnose breaking points, prompt failures, and hallucinations, enabling prompt and dialog improvements. The co-pilot also summarizes agent actions to fine-tune chatbots and scores agents on multiple dimensions to improve training and performance.

Features

Inferred CSAT: Augments survey CSAT with AI-based analysis of bot and human interactions.

Bot Optimization: Visualizes user interactions to diagnose breaking points and improve bot containment.

Agent QA: Scores agents on inferred CSAT, frustration, and policy adherence.

Voice Analytics: Analyzes voice calls to identify trends and root causes of customer contact patterns.

Product Optimization: Provides insights into company and product issues to reduce customer support volume.

Knowledge Optimization: Surfaces actionable root causes behind customer contact patterns.

Cross-Channel Integration: Integrates data across chat, voice, email, and case management systems.

Secure and Compliant: SOC2 Type2 and GDPR compliant with PII/PHI redaction.

Target Audience

Cuein targets customer experience teams, contact centers, and organizations seeking to improve customer satisfaction, reduce support costs, and optimize chatbot performance.