Companies

Quivr

quivr.app

Quivr provides AI agents that automate customer-support responses, ticket workflows, and resolutions inside existing helpdesks.

HQParis, Not applicable, France
Employees1-50
1 active role
Jobs checked 3d ago
Specialization
Not classified
Business
Software Applications
Market
Cross Industry
Ecosystem
Applications
Customers
Enterprisesand 1 more customers values
  • Small Businesses
More details
Organization type
Commercial Company
Ecosystem
Applications
Business
Software Applications
Specialization
Not classified
Market
Cross Industry
Customers
Enterprises, Small Businesses
Delivery models
Hosted Software
Revenue models
Subscription, Usage Based
Listing status
Not classified
Latest equity round
Pre Seed
Reported funding amount
Not classified

About

Quivr builds AI-powered customer-support automation for support teams, drafting replies, routing tickets, and resolving issues inside helpdesk platforms such as Zendesk. Its differentiation is a six-agent architecture that combines knowledge retrieval with real-time integrations and operational actions, rather than merely generating documentation-based answers.

Market

Quivr competes in AI-powered customer-support automation and autonomous service-agent software. It positions itself as an AI layer that plugs into existing helpdesks and can both retrieve data and execute actions across e-commerce, CRM, shipping, databases, and internal systems, rather than requiring a platform migration. Its differentiation is a specialized multi-agent model, broad action-oriented integrations, and a stated transparent usage-based pricing approach versus Zendesk AI's more expensive bundled pricing.

Target Customers

Quivr targets B2B companies and growing brands with customer-support teams, especially organizations using Zendesk or other helpdesks and integrating e-commerce, CRM, shipping, and internal systems. The primary buyers are customer-support and operations leaders seeking to automate repetitive ticket work, response drafting, routing, knowledge management, and transactional actions; the evidence does not specify a narrow employee-size segment.

At a Glance

Problem

Quivr addresses the cost and inefficiency of customer support teams handling repetitive tickets. The pain is operational and economic: agents spend time drafting routine replies, routing and categorizing tickets, looking up customer or order information, and escalating issues that could otherwise be resolved immediately. Quivr’s main use case is helping support teams resolve high volumes of repetitive requests faster and around the clock, while reducing dependence on manual intervention and expensive per-agent or per-resolution support software.

Product / Service

Quivr is an AI-powered customer-support automation platform that works inside a company’s existing helpdesk rather than requiring a migration. Its six specialized agents handle knowledge management, ticket routing, response drafting, autonomous resolution, analytics, and customer engagement. The agents connect to ticketing systems such as Zendesk, Intercom, Freshdesk, and Gorgias, as well as e-commerce, CRM, shipping, and internal systems, retrieving live customer data and taking actions through APIs, GraphQL, webhooks, or MCP. The commercial model combines a €150 monthly base subscription with usage-based charges for actions such as tagging tickets, drafting replies, and resolving tickets, allowing customers to pay primarily when the system creates support value.

Market

Quivr competes in AI customer-support automation and AI-agent software for helpdesk teams. Its clearest named competitor is Zendesk AI, against which Quivr positions its flat-plus-usage pricing, faster deployment, and AI-native approach; Gorgias is another relevant competitor in the e-commerce helpdesk and AI-agent segment. Quivr’s differentiation is to augment or automate the existing support stack across multiple tools, rather than replace the helpdesk itself.

The company has meaningful early traction rather than presenting as a purely pre-revenue project: its site reports more than 2.8 million tickets handled autonomously, 63% faster resolution, and a 94.7% CSAT score. Y Combinator lists Quivr as an active Winter 2024 company with five employees, and the QuivrHQ open-source repository shows more than 39,000 stars, providing additional community traction. Published pricing confirms a commercial offering, although the evidence does not disclose actual revenue or paid-customer counts.

Founders & Leadership

Stan GirardFounder
Co-founder
Antoine DewezFounder
Co-founder & COO

Funding History

2024-02
Pre-Seed$500K

Y Combinator

Recent News

2026-10-04product_launch
Quivr promotes its open-source, chat-powered second brain

Quivr’s YC Launch post promoted its open-source, chat-powered second brain and sought introductions to companies with 100 or more employees that have difficulty finding information. The post is a product-promotion launch, not a funding announcement.

2026-05-08other
可用於下一個專案的30 多個強大AI 庫

A third-party developer article highlighted QuivrHQ’s open-source Quivr project, reporting more than 30,000 GitHub stars and over 220 releases.

Active Roles

1
Paris, Île-de-France, FR/Forward-Deployed Engineer/6d ago

Business Model

Quivr charges a base subscription starting at €150 per month, including six AI agents and support features. It adds usage-based fees for activities such as ticket tagging, drafted responses, and automated ticket resolution.

Products

AI Support Agents suite: Kelly Draft Composer, Michael Action Executor, Steven Ticket Router, Joana Engagement Agent, Lily Insight Analyzer, and Dan Knowledge ManagerCustom Build Your Own Agent offering for organization-specific workflowsHelpdesk, e-commerce, CRM, shipping, database, ERP, and internal-system integration layerQuivr Core, an open-source RAG framework for integrating generative AI into applications

Customers

IntercomZendeskFreshdeskGorgias

Tech Stack

PythonSupabaseLangChainFastAPINext.jsLiteLLMOllamaMistral AILLMs including OpenAI, Anthropic, and MistralRAG with vector stores such as PGVector and FAISSREST APIsGraphQLWebhooksMCP

Competitors

Zendesk AI Agents
Intercom Fin AI Agent
Freshworks Freddy AI
Salesforce Agentforce Service Agent
HubSpot Breeze Customer Agent
Fini