About Stalo

Stalo provides a no-code platform that enables businesses to train AI models for automatic quality monitoring of customer interactions across various communication channels. This technology allows teams to identify service quality issues in real-time, enhancing operational efficiency and enabling data-driven decision-making without manual review of individual interactions.

```xml <problem> Manually monitoring customer interactions across multiple channels is time-consuming and inefficient, often leading to delayed identification of service quality issues and hindering data-driven decision-making. Traditional methods lack the scalability to analyze 100% of interactions, resulting in missed opportunities for improvement and potential negative impacts on customer satisfaction. </problem> <solution> Stalo offers a no-code AI platform that automates the quality monitoring of customer interactions across various communication channels, enabling businesses to identify and address service quality issues in real-time. The platform allows users to train custom AI models tailored to their specific needs, without requiring programming expertise. By integrating with multiple communication channels, Stalo provides a comprehensive view of customer interactions, enabling teams to proactively identify areas for improvement and implement data-driven strategies to enhance customer satisfaction and operational efficiency. The platform empowers businesses to shift from reactive manual reviews to proactive, AI-driven quality monitoring, ensuring consistent service quality and continuous improvement. </solution> <features> - No-code platform for training AI models to understand specific customer interaction nuances. - Integration with multiple communication channels, including chat, WhatsApp, and email. - Customizable dashboards for visualizing insights derived from AI analysis of customer interactions. - Automated identification of customer interactions that deviate from expected quality standards. - Performance measurement tools to identify top and bottom performers within customer service teams. - Root cause analysis to uncover the origins of negative customer feedback and satisfaction scores. - Resolution rate calculation to determine if customer issues are effectively resolved during interactions. - Library of pre-built AI models for common customer service scenarios, such as cordiality, protocol adherence, and churn prediction. </features> <target_audience> Stalo is designed for customer service teams, quality assurance managers, and business analysts who want to improve customer satisfaction, enhance operational efficiency, and make data-driven decisions without manual review of individual interactions. </target_audience> ```

What does Stalo do?

Where is Stalo located?

Stalo is based in Porto Alegre, Brazil.

When was Stalo founded?

Stalo was founded in 2023.

Who founded Stalo?

Stalo was founded by Gabriel Milman, Jeferson Goulart and Rafael Venturacci.

Gabriel Milman - Founder
Jeferson Goulart - Founder
Rafael Venturacci - CEO and Founder

Location

Porto Alegre, Brazil

Founded

2023

Employees

8 employees

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Stalo

Score: 62/100

AI-Generated Company Overview (experimental) – could contain errors

Executive Summary

stalo.ai 200+

Founded 2023 – Porto Alegre, Brazil

Funding

No funding information available. Click "Fetch funding" to run a targeted funding scan.

Team (5+)

Gabriel Milman

Founder

Jeferson Goulart

Founder

Rafael Venturacci

CEO and Founder

Company Description

Problem

Manually monitoring customer interactions across multiple channels is time-consuming and inefficient, often leading to delayed identification of service quality issues and hindering data-driven decision-making. Traditional methods lack the scalability to analyze 100% of interactions, resulting in missed opportunities for improvement and potential negative impacts on customer satisfaction.

Solution

Stalo offers a no-code AI platform that automates the quality monitoring of customer interactions across various communication channels, enabling businesses to identify and address service quality issues in real-time. The platform allows users to train custom AI models tailored to their specific needs, without requiring programming expertise. By integrating with multiple communication channels, Stalo provides a comprehensive view of customer interactions, enabling teams to proactively identify areas for improvement and implement data-driven strategies to enhance customer satisfaction and operational efficiency. The platform empowers businesses to shift from reactive manual reviews to proactive, AI-driven quality monitoring, ensuring consistent service quality and continuous improvement.

Features

No-code platform for training AI models to understand specific customer interaction nuances.

Integration with multiple communication channels, including chat, WhatsApp, and email.

Customizable dashboards for visualizing insights derived from AI analysis of customer interactions.

Automated identification of customer interactions that deviate from expected quality standards.

Performance measurement tools to identify top and bottom performers within customer service teams.

Root cause analysis to uncover the origins of negative customer feedback and satisfaction scores.

Resolution rate calculation to determine if customer issues are effectively resolved during interactions.

Library of pre-built AI models for common customer service scenarios, such as cordiality, protocol adherence, and churn prediction.

Target Audience

Stalo is designed for customer service teams, quality assurance managers, and business analysts who want to improve customer satisfaction, enhance operational efficiency, and make data-driven decisions without manual review of individual interactions.