VoC is the foundation,
Customer Intelligence is what you build on top
Most CX teams spend weeks extracting meaning from feedback. Feedier does it automatically, surfacing the right insights, at the right time, in the right format for every stakeholder. One intelligence layer, built on top of everything you already collect.

From months of analysis
to minutes of insight
A customer intelligence platform, sometimes called a customer insights platform, turns that feedback into insights someone can act on, not another dashboard of scores. Most customer insights software, or customer intelligence software, stops at collection and visualization. Feedier goes further: it reads every verbatim, tracks sentiment over time, and writes the report for you.
From noise to signal, automatically
Feedier's AI reads every text feedback, maps it to a structured topic taxonomy, and tracks sentiment evolution over time. No manual coding. No analyst bottleneck. RX France went from a Manila-based team of data analysts to a single person managing 13,000 verbatims per year — reporting directly to the COMEX.


"Feedier allowed me to trust the data to steer service quality — not just look at it."
Reports that write themselves
Feedier generates structured, audience-ready reports on a defined schedule — by segment, by channel, by touchpoint. A major European airport went from manual reporting to 42 automated reports, saving 90% of the time previously spent on action plans.


"Before Feedier, I had scores. Now I have explanations — and something to act on."
One intelligence layer above all your feedback
Feedier sits above your entire VoC stack (surveys, reviews, CRM, support tickets, third-party tools) and turns fragmented signals into a single, unified analysis. Contradictions get flagged. Patterns get surfaced. You stop managing data and start managing performance.
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Your customer intelligence, accessible to any AI agent
AI agents are becoming the new interface for business intelligence. Feedier is built for that world. Through native MCP support, any AI agent in your organization can query your customer intelligence layer directly, pulling live insights, themes, and sentiment data into workflows, copilots, or internal tools. We believe every company will work this way. Feedier is ready today.

What Customer Intelligence runs on
Topic taxonomy updated continuously, not just at setup
Sentiment tracked over time, not just captured
Cross-source contradictions flagged automatically
Every insight linked to a source, a segment, a date
Structured output for operational teams
Executive-ready synthesis, generated automatically
Agent-accessible via native MCP
Full auditability from insight to raw verbatim
What CX teams using Feedier have to say


"What Feedier allowed me to do is connect my quantitative and qualitative data with business data, and walk into show director meetings with concrete explanations — not just scores. When NPS drops and I know exactly why and for whom, the show director has a real argument to renegotiate with their vendor and adjust strategy for the next edition. That's actual value."
Ly Dinh
Customer Research & Insights Manager


"We're saving probably 100 hours a month of effort across the organization."
Adam Catlow
Head of Analysis and Insight


"Now we measure satisfaction continuously (15k responses in Q1) and we're actually breaking new ground on parking experience measurement. Nobody else is doing that."
Franck Borras
Manager of Mobility Solutions, Research, and Projects
What changes for your team
From tagging to deciding
Your analyst used to spend Mondays on verbatims. Now they spend them on decisions.
From quarterly decks to weekly synthesis
Your COMEX gets a structured intelligence report every week — without anyone building it.
From last quarter to last day
Your CX report stops covering what happened three months ago. It covers what shifted since yesterday.
From five tools to one layer
Your feedback stops living in silos. It feeds a single intelligence layer, automatically.
From CX team inbox to the right desk
Your insights stop at the CX team. With Feedier, they route to whoever can act on them.
From "what happened" to "what to do next"
Your VoC data finally answers the question that matters in every leadership meeting.
Frequently asked questions
Voice of Customer is the data layer — how feedback gets collected, centralized, and structured. Customer Intelligence is what happens next: the AI reads that data, identifies patterns, generates insights, and produces reports automatically. You need both. But without the intelligence layer, your VoC data stays raw.
BI tools are built for structured data. Customer verbatims are not — they're messy, multilingual, and context-dependent. Feedier's AI is specifically trained to read and classify feedback at scale, map it to a topic taxonomy, and track sentiment over time. That's not something a generic BI layer does.
The work doesn't disappear — it shifts. Instead of spending time extracting and tagging data, your team spends time acting on insights. Feedier handles the production layer so your analysts focus on decisions, not spreadsheets.
MCP (Model Context Protocol) is an open standard that lets AI agents query external data sources directly. With Feedier's native MCP support, any AI agent in your organization — a copilot, an internal chatbot, or an automated workflow — can pull live customer intelligence without manual exports or API integrations. We believe this will become the default way companies access business data.
Most teams see their first AI-generated insights within the first week. The taxonomy is built and calibrated by Feedier — you don't configure it from scratch. Setup time depends on the number of sources you connect, not on internal development resources.
Yes — because every insight is traceable. Feedier lets you drill from any synthesis down to the individual verbatim that generated it. No black box. If an insight reaches your COMEX, you can show exactly where it came from and why it matters.
Start with time saved on manual analysis, then look at decision speed — how quickly themes get identified and routed to the right team. The deeper ROI comes from catching issues before they become churn signals. Feedier gives you the data to build that business case internally.





