Every customer signal, unified, analyzed by AI, delivered as decisions
Feedier consolidates Voice of the Customer data from every source, entity and language, then applies auditable AI to surface what matters, quantify its business impact, and produce executive-ready intelligence in hours rather than weeks.
Running inside complex, multi-market organizations
750k+
feedback items analyzed every month.
99%
average precision of AI analysis workflows.
88%
end-user adoption across client organizations.
20+
languages analyzed within a single taxonomy.
99%
production availability, incl. 5M+ feedback accounts.
From raw verbatims to board-level decisions: seven capabilities, one platform
Most solutions address one segment of the Voice of the Customer chain. Feedier covers it in full. Natively, without assembly.
Unify every source
20+ native connectors, a supervised import cockpit, API and SFTP. All feedback data in one place, refreshed daily.
Connect signals to operations
Attributes, linked referentials and business context that anchor AI analysis in operational reality.
Analyze with auditable AI
Agent-based topic detection, aspect-level sentiment and weak-signal identification: precise, transparent, multilingual.
Interrogate the dataset
A conversational analyst and Deep Research capability that produce complete analyses from a single prompt.
Act on quantified priorities
Action plans scored by NPS and financial impact, with alerts, automations and closed-loop follow-through.
Report with rigor, at speed
Living reports, presentation mode, PowerPoint and PDF export, and scheduled distribution to every stakeholder.
Govern at enterprise scale
Workspaces, teams, roles, SSO and complete audit trails, designed for organizations of 5 to 500 entities.
A single source of truth for the Voice of the Customer
Customer feedback typically lives in disconnected systems: survey platforms, review sites, contact-center tools, social networks. Feedier consolidates every channel into one continuously synchronized dataset, covering all entities and markets.
20+ native connectors
Satisfaction surveys, Google Reviews, Trustpilot, Tripadvisor, social networks, support and CRM platforms, app stores, with new sources added every quarter.
Synchronized and manual imports
Automated flows from external platforms, SFTP or datalake, alongside a secured, self-service file deposit with field validation and complete import traceability.
Supervised, transparent pipelines
Each import carries a unique identifier with live execution logs. Failures trigger immediate notification with error detail and automatic retry. No silent data gaps.
Intelligent file mapping
Column auto-detection, attribute pre-filling, field-level error explanations and de-duplication by unique identifier reduce integration work from days to minutes.
Historical data takeover
Hundreds of thousands of legacy verbatims can be migrated from an incumbent VoC tool and re-analyzed against the current taxonomy, so continuity of insight is preserved.
Native surveys and campaigns
A complete survey capability is included: NPS, CSAT and CES questionnaires with conditional logic, distributed by email, SMS, link or web widget, in 20+ languages.
30+ sources centralized for a single enterprise client.
850k+ historical verbatims migrated in one deployment.
Customer signals, connected to operational reality
Feedback without context cannot support a decision. Feedier enriches every data point with the organization's operational variables (entity, region, product line, journey stage, customer value) so that analysis reflects the business as it is actually run.
Typed, documented attributes
Each metadata field has its own configuration (type, description, visibility), establishing a single, unambiguous data language across hundreds of users.
Linked operational referentials
Metadata chains into hierarchies (site, region, country; station, axis, network), so each verbatim aggregates coherently at every level of the organization.
Business context in AI analysis
Market, offer, vocabulary and priorities are captured once and injected into all AI processing: analyses reflect the company's specific context, not a generic model.
Personal data, by design
Personal data within verbatims is automatically detected, encrypted at rest and anonymized before any AI processing. Sensitive attributes remain restricted, with audited access.
Maintained over time
Duplicate values can be merged, legacy entries cleaned and deleted attributes tracked. The data model remains reliable year after year, without engineering effort.
100+ integrations
Salesforce, HubSpot, BigQuery, Snowflake, Power BI, Dynamics 365, Microsoft Teams and more. Operational context flows in, intelligence flows out.
The rigor of an analyst, at the scale of AI
Feedier does not rely on a single generic semantic model. Each topic in the taxonomy operates as an independent AI agent with its own context and instructions, and every classification decision is auditable, scored and correctable.
Agent-based topic detection
Every topic is governed by structured inclusion and exclusion rules. From a dozen themes to several hundred, the taxonomy scales without semantic drift.
Auditable classification, measured precision
Each verbatim documents why it was, or was not, assigned to a topic. Every theme carries a precision score, continuously recalibrated through user feedback.
Aspect-level sentiment
A single verbatim often carries several opinions: positive on comfort, negative on punctuality. Each theme receives its own tonality, scored 0–100, rather than one flat average.
Weak-signal detection
A proprietary engine clusters similar verbatims outside the taxonomy, distinguishes isolated incidents from recurring patterns, and proposes taxonomy enrichments, with statistical thresholds calibrated against false positives.
20+ languages, one unified analysis
Classification, sentiment and weak-signal detection apply identically across languages, with faithful AI translation and one-click access to the original verbatim, including competitor reviews collected internationally.
Trends, emerging themes, benchmarks
Automatic identification of emerging topics, mention and sentiment trends over time, and benchmarking of each theme against operational context, up to 250 themes per team.
200+ hours saved per quarter on analysis
7–10× faster exploration since the latest engine release
The entire dataset, accessible in natural language
Feedier's conversational analyst is connected to the full corpus: indicators, taxonomy, weak signals, metadata. It maintains conversational and business context, and can act on the platform directly.
Conversational analysis
"Why did satisfaction decline in the northern region last month?" The agent answers from the organization's own data and supports progressive drill-down, retaining context across the exchange.
Ask Feedier
From an open prompt, Ask Feedier autonomously applies filters, runs analyses across sources and produces a complete, structured report, ready for review and manual refinement.
From insight to execution
The agent does not stop at answers: it creates reports, generates action plans and exports verbatims directly from the conversation.
Feedier MCP: enterprise AI, connected
The full body of VoC intelligence is queryable from the organization's own AI environment (Mistral, OpenAI or Claude) via MCP, governed by SSO and platform-level access rights.
FQL: structured search, everywhere
Fifteen filter types (NPS profile, metadata, topics, sentiment, time period), composable in a few clicks across reports, dashboards, action plans, text analysis and the API.
Saved segments, with governance
Complex filter combinations are saved once and reused across the platform. Locked segments apply at login, guaranteeing that each entity accesses only its own perimeter.
MCP-ready - Mistral / OpenAI / Claude / Copilot
Complete reports generated from one prompt
From insight to accountable action
Analysis only creates value when it changes what the organization does. Feedier converts findings into prioritized, quantified action plans, maintains a closed loop on their execution, and alerts the right stakeholders as conditions evolve.
Objectively prioritized action plans
Each recommendation carries an estimated NPS impact, a relevance score reflecting the share of supporting verbatims, an effort estimate and a financial value.
Human validation circuit
Every proposed action is approved or rejected by the relevant team. The AI proposes; the organization decides, and the model learns from each arbitration.
Closed-loop measurement
Actions remain linked to the insights that motivated them. The real effect of each corrective measure is tracked over time, establishing programme ROI quarter after quarter.
Continuous monitoring and alerts
An AI agent monitors feedback volumes and flags significant variations weekly. Custom alerts can be configured on any segment, in real time, weekly or monthly.
Multi-channel automations
Workflows trigger on new or updated feedback: email digests, Microsoft Teams notifications, Salesforce actions, webhooks. All are configurable from any segment, including retroactively on historical data.
Assignment and complete history
Feedback routes to the appropriate owner with status tracking, and every item retains a timestamped record of all automations, edits and actions performed.
Action plans generated weekly, monthly or quarterly
Estimated NPS and financial impact on every recommendation
Executive reporting, produced in hours rather than weeks
Quarterly CX reporting traditionally consumes weeks of manual assembly. Feedier's report builder composes executive-ready intelligence automatically, and keeps every distributed report permanently current.
AI-generated reports
Beyond templates: from a single written brief, the AI assistant produces a complete report (structure, charts, verbatims, key takeaways), ready for editorial review.
Rich analytical components
KPIs with targets, benchmarks, automated SWOT analysis, correlation matrices, geographic maps, verbatim panels, trends and annotations, on a free grid layout with full brand control.
Living reports
Shared links refresh automatically as new data arrives: distributed reports are never out of date, and link validity is time-bound by policy.
Presentation mode and live collaboration
Reports present slide-by-slide directly from the platform, and support real-time co-editing with viewer presence and component locking.
PowerPoint and PDF export
Committees are supplied directly: export to PowerPoint or PDF, including exhaustive verbatim exports for further analysis.
Scheduled distribution
Weekly segment reviews, monthly entity reports, or one report per attribute value, generated and delivered automatically to designated recipients, in their language.
96% reduction in reporting time
10+ plug-and-play report modules
Governance designed for complex organizations
Multi-entity, multi-brand, multi-country: Feedier's structure mirrors the organization's. Several hundred users can operate on one platform, each within a precisely scoped perimeter, with a consistent experience.
Workspaces, teams and roles
Organization by business unit, brand, region or subsidiary, including fully separate organizations under a single contract. Each team operates on its own priorities.
Native enterprise SSO
OIDC single sign-on (including Azure AD) with automatic role and team provisioning: users are placed in the correct perimeter, with the correct rights, from first login.
Granular RBAC and MFA
Five role levels applying least privilege by module, optional multi-factor authentication, session controls and configuration locking for distributed teams.
Complete auditability
Every action on the platform, including access to personal data and disclosure of sensitive attributes, is logged, timestamped and available for audit.
Performance at scale
Auto-scaling production infrastructure serves accounts exceeding five million active feedback items, with sub-two-second interface response in nominal use.
Developer API and webhooks
An authenticated REST API exposes verbatims, metadata and topics daily to internal systems; FQL queries, feedback assignment and workflow control are available programmatically.
Trusted with sensitive customer data in regulated industries
Feedier serves organizations in banking, transport, healthcare and the public sector: environments where security is a condition of doing business. Compliance is engineered into the platform, not appended to it.
Sovereign European AI
Language models operated exclusively within the EU. No retention, no training on client data, no transfer outside the EEA.
Anonymization before AI
Personal data in verbatims is anonymized automatically before reaching any model: privacy by design, not by policy.
Human oversight, by design
Classified limited-risk under the EU AI Act: no autonomous decisions, systematic identification of AI-generated content, continuous quality evaluation of model output.
End-to-end encryption
AES-256 at rest, TLS 1.3 in transit, encrypted administration access with mandatory MFA, keys held in separate cryptographic containers.
Contractual availability
Above 99% production uptime, RTO of 4 hours, RPO of 24 hours, 3-2-1 off-site backups, continuity plan exercised every four weeks.
Continuously verified
Annual independent penetration testing, SAST and OWASP scanning in CI, 24/7 SIEM supervision, logs retained beyond 13 months.
GDPR operationalized
Article 28 processor with full DPA, dedicated DPO, configurable retention with automatic purge, unlimited exports, certificate of destruction at contract end.
Incident transparency
Written notification within 24 hours of any suspected breach, with support for supervisory-authority notification within 72 hours where required.
A partnership measured on outcomes
Platform capability alone does not deliver a Voice of the Customer programme; adoption and method do. Every Feedier deployment includes a structured methodology, a dedicated expert, and a team whose success metric is the programme's ROI.
Structured deployment
Framing workshops, co-constructed taxonomy, source connection, historical data migration and business acceptance testing: a proven methodology, with over 80% configured on standard.
A dedicated expert
A named CX expert leads weekly committees during deployment and quarterly reviews in operation, with usage reporting and continuous recalibration of AI models on production feedback.
Training and community
User and expert-referent tracks, train-the-trainer programmes, concise video tutorials and webinars, alongside the Feedier Club, a practitioner community spanning 15 countries.
Frequently asked questions
No. Feedier integrates with both. Collection tools ask the questions; Feedier consolidates the answers across all channels, connects them to business outcomes and generates prioritized action plans. Most enterprise clients operate Feedier alongside their existing collection stack.
Feedier does not depend on a single generic model. Each topic operates as an independent agent with explicit inclusion and exclusion rules; every classification is documented with its rationale; and each theme carries a measured precision score that users can improve through feedback. Combined with aspect-level sentiment and a dedicated weak-signal engine, the result is analysis that withstands scrutiny.
The platform processes more than 20 languages. Classification, sentiment and weak-signal detection are applied identically regardless of source language, with faithful translation and one-click access to the original verbatim, including competitor reviews collected across markets.
All data and AI processing remain within the European Union, with zero retention and zero training on client data. Personal data is anonymized before any AI processing. Feedier is ISO 27001:2022 certified, SOC 2 compliant, operates as a GDPR Article 28 processor, and is classified limited-risk under the EU AI Act with systematic human oversight.
Yes. The organization's business context (market, vocabulary, priorities) is captured once and injected into all AI processing. Analyses can be refined by attributes, filters and themes, and the models learn continuously from user adjustments to effort scores, action plans and topic assignments.
Feedier is built on workspaces, teams and roles, and supports organizations from 5 to 500 entities. Locked segments guarantee each entity accesses only its own perimeter, while group-level teams retain the consolidated view.
NPS, CSAT, CES, satisfaction ratio, sentiment score, feedback volume, impact and effort scores, plus custom formulas including financial indicators. Each KPI supports targets, year-over-year comparison and personalized timelines.
Feedier is a SaaS platform that typically covers over 95% of enterprise requirements natively. A standard enterprise deployment runs three to four months from framing to production, including source connection, taxonomy co-construction, historical data migration and training.
What CX teams using Feedier have to say
"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
"Our sales employees were able to mark the customers in their system. We're also returning the KPIs and the individual reports to Salesforce. This is for me, a big support."
Jörg Hassler
Corporate Director Marketing & Commercial Excellence
"We're saving probably 100 hours a month of effort across the organization."
Adam Catlow
Head of Analysis and Insight
The podcast for CX leaders who are done with theory
Real conversations with the people actually transforming customer experience inside large, complex organizations. No frameworks. No fluff. Just what works.
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Your competitors have the data, you'll have the advantage
Feedier reads every customer signal you already collect and turns it into decisions your leadership can act on. In hours, not quarters. Without replacing a single tool you own.
