Automated feedback analysis
Cluster customer feedback, sales conversations, and support interactions into requests, defects, praises, learnings, and other themes, then explore the results through AI-driven queries.
Analyse des retours clients par IA pour transformer les échanges en insights sourcés et tâches prioritaires
Inari is an AI-native customer feedback analytics platform that turns feedback, support conversations, sales calls, and unstructured documents into organized product insights. It is positioned as a tool for discovering customer requests, defects, praises, and learnings, then using that information to inform backlog decisions.
The product combines feedback analysis, a unified voice-of-customer feed, and backlog enrichment so teams can move from raw customer input to prioritized product opportunities. The site also shows support for common team workflows such as CSV, PDF, and DOC uploads, direct integrations, and automated alerts.
Cluster customer feedback, sales conversations, and support interactions into requests, defects, praises, learnings, and other themes, then explore the results through AI-driven queries.
Each insight is linked back to relevant customer quotes and citations so teams can trace findings to source material instead of relying on unlabeled summaries.
Create custom insights and issues, set alerts, and send updates through Slack or email when new patterns appear.
Turn insights into product work by generating PRDs, prompts, and issue ideas grounded in customer evidence.
Connect backlog tools and CRM systems to enrich issues with revenue, company, and pipeline context for prioritization.
Unify feedback across uploads and integrations, then personalize analysis with custom prompts or fine-tuning on exemplary feedback.
A product team can ingest support tickets, call recordings, and feedback exports to identify the most common requests and defects before planning the next release.
Research or CX teams can run recurring analysis on customer conversations and documents to produce a shared feed of trending themes, quotes, and learnings.
Sales and growth teams can connect CRM context such as revenue or pipeline stage to customer issues, making it easier to judge which problems matter most commercially.
Ops-minded teams can set alerts and automate VoC reports so that new patterns are pushed into Slack or email without manual review cycles.
Teams with fragmented data can unify Slack, Gong, Intercom, files, and other sources into one repository before analyzing the material with customized prompts or fine-tuned models.
Inari analyzes customer feedback, support conversations, sales call recordings, and related documents, then clusters the material into customer insights backed by quotes and citations.
The pricing page shows a free trial, a Startup plan, a Growth plan, and an Enterprise option. Startup and Growth are self-serve monthly plans, while Enterprise is listed as "TBD/month" with a "Let's chat" flow.
Yes. The pricing and integrations pages show support for CSV, PDF, DOC, and DOCX uploads, plus connections to tools such as Slack, Gong, and Intercom.
The product is designed for product, research, CX, sales, and growth teams that want to turn customer feedback into insights, backlog items, and alerts.
The source materials do not describe every limitation in detail, but the product pages emphasize citations, configurable taxonomies, and personalization through prompts or fine-tuning rather than fully hands-off analysis.
Les données de trafic sont fournies à titre indicatif uniquement.
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