Inari, formerly known as Backpocket, is a B2B company based in New York, specializing in engineering, product, and design services that automate customer feedback analysis using AI.

Company Overview

Inari, formerly known as Backpocket, is a B2B company based in New York, NY, USA. Specializing in engineering, product, and design sectors, Inari aims to automate the analysis of customer feedback. The company is backed by Y Combinator's S23 batch and provides a platform designed to unify customer feedback and generate insightful product analytics.

Y Combinator Participation

Inari participated in the Summer 2023 (S23) batch of Y Combinator. This backing supports the company's mission to revolutionize customer feedback analysis using advanced AI technologies. The participation in such a prestigious incubator underscores Inari's commitment to innovation and growth in the B2B space.

AI-Powered Customer Feedback Analysis

Inari automates the analysis of customer feedback using artificial intelligence. The platform highlights useful quotes, categorizes sentiment, generates insights, and prioritizes product backlog. By automating these processes, Inari aims to save businesses hundreds of hours typically spent on manual feedback analysis and insight discovery.

Product Integration and Customization

Inari's platform integrates with over 5,000 tools, ensuring seamless incorporation into existing workflows. Users can customize the AI analysis framework or create a custom taxonomy of insights, offering a tailored experience to meet specific business needs. This extensive integration capability makes it easier for businesses to adopt Inari's platform without disrupting their current processes.

Free Start Option for Users

Inari offers a free start option for users, allowing businesses to experience the benefits of their AI-powered customer feedback analysis platform without initial financial commitment. This approach encourages adoption and provides a risk-free opportunity for companies to streamline and enhance their feedback processes.

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