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What is Quivr?

Quivr is a cutting-edge AI application seamlessly embedded within the Zendesk platform that revolutionizes customer support by utilizing past resolved tickets and internal data to enhance response quality. The AI ingests extensive historical ticket information and internal tool data to generate intelligent, accurate suggestions for customer replies, which can also be sent automatically, freeing agents from routine interactions. This automation has been shown to boost customer service team efficiency by as much as 60%, allowing teams to handle higher volumes and more complex inquiries. Quivr ensures that every response aligns perfectly with the brand’s voice and messaging guidelines, maintaining consistent and professional communication. It also reduces response times significantly, contributing to improved customer satisfaction and loyalty. Designed with data security in mind, Quivr complies fully with GDPR and SOC 2 standards, safeguarding sensitive customer information. Its native integration into Zendesk enables quick deployment and smooth adoption within existing support workflows. The platform supports continuous learning from new data, ensuring its responses evolve and improve over time. Quivr empowers businesses to scale their customer service operations without sacrificing quality or compliance. This makes it an indispensable tool for any organization seeking to modernize and optimize their Zendesk-powered support teams.

What is Hugo AI?

Hugo represents a cutting-edge AI-powered customer support tool that acts as a vital partner for your brand, facilitating faster ticket resolutions, reducing team burdens, automating repetitive tasks, and providing round-the-clock service with personalized responses derived from real business data. Crafted to foster authentic conversations, Hugo skillfully maintains context throughout customer interactions and integrates smoothly with your existing knowledge base, CRM, and various business applications via the Model Context Protocol (MCP), enabling it to solve problems autonomously or escalate them to human agents when necessary, all while preserving complete contextual understanding. Its modular architecture guarantees resilience and versatility, allowing teams to train, set up, and deploy AI support solutions in mere minutes without requiring any coding expertise; they can choose the AI model that best fits their goals, design intricate workflows through an easy-to-use visual interface, and track performance metrics, accuracy, and customer satisfaction in real time. Additionally, each response is grounded in your proprietary data, ensuring both precision and compliance with industry regulations, bolstered by strong enterprise-level security protocols, GDPR adherence, and attention to data sovereignty issues. Moreover, Hugo's ability to evolve with shifting business landscapes makes it an indispensable asset for contemporary customer support strategies, enhancing both efficiency and customer engagement. Thus, integrating Hugo into your operations can significantly transform how your brand interacts with its clientele, leading to improved satisfaction and loyalty.

Media

Media

Integrations Supported

Zendesk

Integrations Supported

Discord
Facebook Messenger
Instagram
Jira
LinkedIn
Model Context Protocol (MCP)
Notion
Shopify
Slack
Squarespace
Telegram
Trello
WhatsApp

API Availability

API Availability

Has API

Pricing Information

Free
Pro: $1200/year
Free Version

Pricing Information

$45 per month
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

24 Hour Support
Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Online Training

Company Facts

Organization Name

Quivr

Date Founded

2024

Company Location

France

Company Website

www.quivr.app/

Company Facts

Organization Name

Hugo AI

Date Founded

2025

Company Location

United States

Company Website

hugo.ai/

Categories and Features

AI Customer Service

Not specified

Categories and Features

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