RowBoat Labs

About RowBoat Labs

Provides proprietary LLM-powered virtual agents that deliver human-like customer support by autonomously handling domain-specific tasks and integrating with existing systems. These agents are trained on millions of support interactions, enabling hyper-personalized responses and continuous improvement through self-learning and automated feedback. RowBoat reduces the need for human agents while maintaining accuracy, brand alignment, and operational efficiency.

```xml <problem> Many companies struggle to provide consistently high-quality customer support due to limitations in human agent availability, training costs, and the difficulty of scaling personalized interactions. Traditional support systems often lack the ability to autonomously handle complex, domain-specific tasks, leading to inefficiencies and customer dissatisfaction. </problem> <solution> RowBoat offers proprietary LLM-powered virtual agents designed to deliver human-like customer support by autonomously managing domain-specific tasks and integrating with existing systems. These agents are pre-trained on millions of customer support interactions, enabling hyper-personalized responses and continuous improvement through self-learning and automated feedback. By leveraging user data and smart knowledge retrieval, RowBoat's agents provide accurate, brand-aligned, and personalized support experiences. The platform reduces the reliance on human agents while maintaining accuracy and operational efficiency. </solution> <features> - LLM agents pre-trained on millions of customer support conversations for human-level accuracy - Autonomous action capabilities through seamless integration with existing systems - Continuous learning from usage and feedback to personalize interactions - Proprietary SmartRAG for effective knowledge retrieval and application - Automated evaluation and feedback modules for continuous improvement - User personalization leveraging user data to hyper-personalize every interaction - In-built actions with a set of pre-defined functions for domain-specific tasks and integrations - Interaction insights derived from customer interactions to improve support strategies </features> <target_audience> RowBoat's primary customers are companies seeking to enhance their customer experience (CX) by automating and personalizing support interactions while reducing operational costs. </target_audience> ```

What does RowBoat Labs do?

Provides proprietary LLM-powered virtual agents that deliver human-like customer support by autonomously handling domain-specific tasks and integrating with existing systems. These agents are trained on millions of support interactions, enabling hyper-personalized responses and continuous improvement through self-learning and automated feedback. RowBoat reduces the need for human agents while maintaining accuracy, brand alignment, and operational efficiency.

Where is RowBoat Labs located?

RowBoat Labs is based in Bengaluru, India.

When was RowBoat Labs founded?

RowBoat Labs was founded in 2024.

How much funding has RowBoat Labs raised?

RowBoat Labs has raised 500000.

Who founded RowBoat Labs?

RowBoat Labs was founded by Akhilesh Sudhakar.

  • Akhilesh Sudhakar - Co-founder/CEO
Location
Bengaluru, India
Founded
2024
Funding
500000
Employees
3 employees
Major Investors
Y Combinator
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RowBoat Labs

Score: 100/100
AI-Generated Company Overview (experimental) – could contain errors

Executive Summary

Provides proprietary LLM-powered virtual agents that deliver human-like customer support by autonomously handling domain-specific tasks and integrating with existing systems. These agents are trained on millions of support interactions, enabling hyper-personalized responses and continuous improvement through self-learning and automated feedback. RowBoat reduces the need for human agents while maintaining accuracy, brand alignment, and operational efficiency.

rowboatlabs.com200+
cb
Crunchbase
Founded 2024Bengaluru, India

Funding

$

Estimated Funding

$500K+

Major Investors

Y Combinator

Team (<5)

Akhilesh Sudhakar

Co-founder/CEO

Company Description

Problem

Many companies struggle to provide consistently high-quality customer support due to limitations in human agent availability, training costs, and the difficulty of scaling personalized interactions. Traditional support systems often lack the ability to autonomously handle complex, domain-specific tasks, leading to inefficiencies and customer dissatisfaction.

Solution

RowBoat offers proprietary LLM-powered virtual agents designed to deliver human-like customer support by autonomously managing domain-specific tasks and integrating with existing systems. These agents are pre-trained on millions of customer support interactions, enabling hyper-personalized responses and continuous improvement through self-learning and automated feedback. By leveraging user data and smart knowledge retrieval, RowBoat's agents provide accurate, brand-aligned, and personalized support experiences. The platform reduces the reliance on human agents while maintaining accuracy and operational efficiency.

Features

LLM agents pre-trained on millions of customer support conversations for human-level accuracy

Autonomous action capabilities through seamless integration with existing systems

Continuous learning from usage and feedback to personalize interactions

Proprietary SmartRAG for effective knowledge retrieval and application

Automated evaluation and feedback modules for continuous improvement

User personalization leveraging user data to hyper-personalize every interaction

In-built actions with a set of pre-defined functions for domain-specific tasks and integrations

Interaction insights derived from customer interactions to improve support strategies

Target Audience

RowBoat's primary customers are companies seeking to enhance their customer experience (CX) by automating and personalizing support interactions while reducing operational costs.