Filtra.AI
Turn customer voice into business growth with AI
Filtra.AI analyzes reviews and customer feedback to reveal recurring problems, opportunities and priorities your team can act on.
What the AI does with customer voice
Filtra.AI reads reviews, surveys and support conversations and turns them into structured signals. It classifies themes, measures sentiment and groups similar cases across units, so the team sees patterns instead of isolated comments. The output is a prioritized list of what to fix and what to protect.
- Classify themes and sentiment across channels.
- Group similar cases by unit and period.
- Prioritize by frequency, severity and impact.
- Suggest responses that the team reviews.
AI for analysis, humans for judgment
The model handles volume and consistency; people handle context, relationships and decisions. Sensitive cases, legal risk and ambiguous comments should always pass through human review. The best setup combines fast classification with a clear escalation policy.
From insight to measurable outcome
Each cycle ends with owners, deadlines and a small set of actions. In the next period, the platform compares the same themes to show whether recurrence fell. That loop is what turns customer voice into operational improvement and, eventually, into growth.
What to look for
Use the themes below as management signals: frequency, customer impact, recurrence and the team responsible for the next action.
Frequently asked questions
What can Filtra.AI analyze?
Google reviews, surveys, support conversations and other feedback channels. The platform classifies themes, sentiment and recurrence across periods and units.
Does the AI write public responses?
It can suggest drafts, but public replies should be reviewed by the team, especially in negative or sensitive cases. Authenticity and context matter.
How does the AI handle different languages?
It classifies content in multiple languages, which helps operations that serve international customers or manage units in different countries.
Is the analysis reliable?
With a clear taxonomy and an initial sample review, classification is consistent enough for prioritization. Human review covers ambiguous or high-risk cases.
What do I need to start?
A few months of reviews or feedback and a list of themes that matter to the business. The taxonomy is defined together at the start.