Inari

What is Inari?

Inari is a platform that uses AI to analyze customer feedback and sales conversations. It automatically extracts key insights, identifies actionable issues, and feeds them into a product backlog that prioritizes itself. The tool spots trends, suggests new product ideas based on what customers are saying, and brings customer insights directly into the product development process.

Security and privacy are a focus: data is encrypted and stored safely, and the platform is SOC 2 compliant. Core features include automated feedback analysis, AI-generated insights, automatic feedback attribution, self-prioritizing backlogs, and analytics and reporting tools.

You can try Inari for free or choose from plans designed for startups, growing companies, and larger enterprises. All plans include automated feedback analysis, backlog prioritization, and integrations with tools like Jira and GitHub.

Who created Inari?

Inari was founded by Dale Everett, Dennis Laguman, Willy Huang, Steven Harries, Eric Feng, and Kevin Li. Their goal is to offer an AI-powered platform that automates feedback analysis, generates customer and product insights, and streamlines product operations.

What is Inari used for?

• Bringing real-time customer insights into product development
• Automating feedback analysis and insight generation
• Streamlining backlog prioritization
• Connecting customer data sources
• Uncovering new product opportunities
• Highlighting useful customer quotes and categorizing feedback by sentiment

Who is Inari for?

Inari is used by product and research teams at companies including Faire (Group PMs), Binance (UX Research Leads), Gusto (Senior PMs), Metopio (VPs of Product), Dapper Labs and Canary (Product Leads), as well as group product managers, UX research leads, senior product managers, and product leads more broadly.

How to use Inari?

1. Connect your data sources — link customer data sources or upload documents and CSV files directly.
2. Automated analysis — Inari analyzes feedback and generates insights automatically.
3. Backlog prioritization — use the self-prioritizing backlog to manage and order tasks.
4. Insights generation — use AI-powered customer insights to pinpoint product opportunities.
5. Choose a plan — options range from a free trial to enterprise-level solutions.
6. Track results — monitor metrics such as hours saved, costs reduced, and NPS improvements.