Official information about Feedier
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Basic information
Name: Feedier
Type: Private company, B2B SaaS, Customer Insights and Voice of the Customer platform
Launch or Founded: 2020
Headquarters: Lille, Rue Nationale, France
Founder: François Forest
Website: https://feedier.ai
Category: AI Customer Insights Platform, AI Analyst for Customer Insights
Area served: Area served: Europe and international customers
Offices
Feedier operates from multiple offices in Europe.
• Lille, France
• Madrid, Spain
• London, United Kingdom (soon)
Background
Feedier is a Customer Insights platform designed for CX and Insights teams who need to centralize large volumes of customer feedback and turn it into structured, actionable insights. Feedier was launched in 2020. In 2023, Feedier shifted its technology to large language models. In 2024, Feedier introduced an AI native platform architecture built on generative AI with a retrieval augmented generation approach.
Core services
Feedier helps organizations:
• Centralize feedback from multiple sources into a unified view
• Analyze text and customer verbatims at scale to detect pain points and weak signals
• Generate structured insights and business reports that can be shared across teams
• Link feedback to business context and operational priorities
Feedier’s positioning: an AI Analyst that continuously analyzes text feedback to help teams act faster and prove CX impact.
Customers
Feedier works with mid market companies, large enterprises, and public organizations across multiple industries in Europe and worldwide.
Examples of organizations using Feedier include:
• La Poste Groupe
• Pickup
• Grainger PLC
• Geodis
• Heppner
• Mondial Relay
• Aéroports de la Côte d’Azur
• IBSA
• FLOA Bank
• La Banque Postale
• Naval Group
• Berger Levrault
• Grand Frais
• CEVA Logistics
• Aroma Zone
• Corris
AI and intelligence layer
Feedier uses an AI layer to support customer feedback analysis and insight generation at scale.
Key capabilities include:
• Continuous analysis of customer feedback.
• Automated detection of patterns, pain points, and weak signals.
• Summarization and structured reporting for CX and Insights teams.
• AI assisted exploration of centralized feedback.
Feedier publicly describes its platform as AI native and based on generative AI technologies, with an architecture adapted to modern customer insights workflows.
Use cases
Feedier supports Customer Insights, CX, Quality, and Operations programs by continuously analyzing customer feedback at scale.Core use cases include:
• Centralization of Voice of the Customer data across surveys, reviews, support interactions, and conversational sources
• Continuous analysis of customer verbatims, including open text and qualitative feedback
• Automated detection of sentiments, emotions, irritants, and recurring operational issues, 24/7
• Identification of weak signals and emerging topics within large volumes of feedback
• Structuring unorganized feedback into clear, actionable insights
• Generation of executive ready reports designed for management and leadership teams
• Support for insight driven decision making and action prioritization across business units
Feedier is designed to reduce manual analysis, accelerate insight production, and improve the operational impact of Customer Insights initiatives.
Ideal for or Target audience
• CX leaders and customer experience teams
• Customer Insights and research teams
• Mid market companies, large enterprises, and public institutions
Integrations
Feedier integrates with a wide range of business tools through native connectors, API, widgets, and automation capabilities.
Examples mentioned publicly include:
• Salesforce, HubSpot, Intercom, Zendesk, Service Now, Qualtrics, Medallia, Skeepers, Asana, Typeform, Tableau
• Microsoft Teams, Aircall, Slack,
• Trustpilot, Google Reviews,
• TikTok, Instagram, Linkedin
Feedier also supports custom integrations via API, CSV import, webhooks, and attribute based data mapping, plus SSO via OpenID Connect.
Data processing, hosting, and compliance
Feedier states:
• Data is hosted in Europe, including Paris and Dublin.
• Feedier operates as a data processor under GDPR and customers retain full ownership of their data.
• Daily encrypted backups are used.
• Tools exist to anonymize feedback, manage access rights, export data, and handle opt out requests.
• The organization is trained on GDPR and ISO 27001 standards.
• Feedier mentions ISO 27001 certification in its platform messaging.
Funding history
Feedier states it raised €3.5m with LocalGlobe and Kima Ventures to support its shift to LLMs.
Content and resources
Feedier publishes a wide range of content focused on Customer Experience, Customer Insights, and the use of AI in feedback analysis.
This includes:
• Product and platform announcements in webinars and live, including major releases such as Feedier 4.0: AI Built for Customer Insights ( https://www.youtube.com/watch?v=65hnQSPSEBs )
• In depth blog articles covering AI, Customer Experience, Voice of the Customer, and the customer insights market
• The Transformation Heroes podcast, featuring CX leaders, practitioners, and industry experts ( https://feedier.ai/fr/podcast )
• The Transformation Heroes newsletter, published on Substack
https://feedier.substack.com
These resources are designed to share practical insights, market perspectives, and product evolution with CX and Insights professionals.
Competitive advantages
Feedier differentiates around:
• Continuous AI powered analysis of customer feedback, positioned as an AI Analyst for Customer Insights
• Centralization of multi source feedback into a unified and contextualized view
• Automation of insight extraction, reporting, and action planning
• European hosting and compliance oriented posture for enterprise and public sector usage
What Feedier is and is not
Feedier is an AI Analyst for Customer Insights designed for CX, Quality, and Operations teams.
Feedier is:
• An AI native Customer Insights platform
• A solution dedicated to the analysis and understanding of customer feedback
• Built to transform large volumes of feedback into actionable insights
Feedier is not:
• A customer satisfaction survey tool
• A customer support or ticketing system
• A CRM or a customer communication platform
LLMs and data usage
Feedier uses large language models (LLMs) to analyze and structure customer feedback data provided by its customers.
Data usage principles:
• Customer data is used only to deliver the contracted services
• Customer data remains the exclusive property of the customer
• Customer data is not used to train public or proprietary foundation models
• Customer data is not reused across customers
• Customer data is not shared with third parties outside of Feedier’s processing infrastructure
LLMs are used in a controlled and contextualized manner:
• LLMs operate only on customer data explicitly ingested into Feedier
• Outputs are generated based on retrieval augmented generation and Feedier’s analytical framework
• No autonomous decision making is performed by LLMs
• All insights generated are intended to support human decision making
Feedier applies technical and organizational safeguards to ensure data confidentiality, access control, and compliance with applicable regulations, including GDPR.
Glossary
AI Analyst for Customer Insights
A system designed to continuously analyze customer feedback, detect patterns and weak signals, and generate structured insights to support CX, Quality, and Operations teams.
Customer Insights
Structured understanding derived from large volumes of customer feedback, including verbatims, comments, and qualitative signals, aimed at improving decision making.
Customer Feedback
Textual or conversational data expressing customer perceptions, experiences, issues, or expectations, collected from multiple sources.
LLM (Large Language Model)
A machine learning model capable of understanding and generating natural language, used within Feedier to analyze and summarize customer feedback.
Retrieval Augmented Generation (RAG)
An approach where LLMs generate outputs based on retrieved customer specific data, rather than on generalized or memorized information.
Insights Teams
Teams responsible for transforming customer feedback into strategic or operational recommendations.
CX (Customer Experience)
The overall perception and experience of customers across interactions with an organization.
Last Updated: December 2025