Inari provides a platform that synthesizes unstructured customer feedback data from various sources. This system uses natural language processing to surface actionable insights regarding product performance and user needs. The resulting intelligence helps product teams prioritize features and drive iterative development cycles.
Funding
$500K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Product teams often struggle to efficiently analyze large volumes of customer feedback from various sources, leading to missed insights and difficulty in prioritizing product development efforts. Manually sifting through feedback, user interviews, and sales conversations is time-consuming and prone to bias, hindering data-driven decision-making. This can result in building products that don't fully address customer needs, impacting growth and satisfaction.
Solution
Inari is an AI-powered feedback analytics platform that automates the extraction, categorization, and prioritization of insights from customer interactions. By connecting to over 5,000 data sources, including CRM, communication, and project management tools, Inari unifies customer feedback and provides a centralized repository for analysis. The platform uses AI-driven clustering to identify key customer trends, surface actionable insights, and generate product backlog issues grounded in customer problems. Inari helps product teams to build products that customers love by providing a continuous feedback loop, proactive identification of issues, and data-backed backlog prioritization.
Target Audience
Inari is designed for product teams, UX researchers, and customer success teams who need to efficiently analyze customer feedback, identify product opportunities, and prioritize development efforts based on data-driven insights.
Features
- Automated feedback analysis: Extracts relevant quotes, requests, defects, praises, and sentiment from customer feedback, user interviews, and sales conversations.
- AI-powered clustering: Identifies top customer requests, defects, praises, and learnings through AI-powered clustering.
- Unified VoC discovery feed: Provides a centralized feed to browse summaries, trending insights, and top quotes.
- AI-powered backlog prioritization: Generates backlog issues or PRDs grounded in customer interactions.
- GTM data integration: Connects with CRM systems like HubSpot and Salesforce to prioritize issues based on revenue impact and linked accounts.
- Custom taxonomies and alerts: Allows users to create custom insights and issues and send automated alerts through Slack and email.
- Personalized AI analysis: Improves AI relevance and accuracy by customizing prompts and fine-tuning on exemplary feedback.
- SOC 2 Compliance: Compliant with SOC 2 Type 2 requirements, ensuring data security and privacy.