Inari

Inari is a sophisticated AI-native feedback analytics platform created to transform raw customer feedback into strategic product development opportunities. It empowers product, research, and customer experience teams to move beyond manual, time-consuming analysis of feedback from spreadsheets and sticky notes. By automatically sifting through vast amounts of data from customer feedback channels, CRM systems, and product backlogs, Inari uncovers accurate insights and revenue-generating ideas. This allows teams to build products that people genuinely love, grounded in real customer problems.

Important Notice: Inari has been acquired by Amplitude. As a result, the standalone Inari product is being wound down and its powerful AI capabilities are being integrated into Amplitude's comprehensive digital analytics platform. This acquisition validates the strength of Inari's technology and vision, which will continue to evolve and help teams build better products as part of a larger ecosystem.

How to use Inari

The workflow was designed for simplicity and power:

1. Connect Data Sources: Users could unify customer data by integrating with over 5,000 tools like Slack, Gong, Intercom, Zendesk, and Salesforce, or by uploading unstructured documents (CSVs, PDFs, DOCs).
2. Automated Analysis: Once connected, Inari's AI would automatically analyze the feedback, extracting and categorizing key information such as feature requests, defects, praises, and overall sentiment.
3. Explore Insights: A centralized dashboard provided a unified Voice of Customer (VoC) feed. Teams could explore AI-generated clusters of insights, run queries, and view trends, with every insight linked back to the original customer quotes for full context and citation.
4. Prioritize with Data: The platform featured an AI-powered backlog that could be synced with tools like Jira and Linear. It allowed teams to prioritize issues by linking them to GTM data from CRMs, such as ARR and deal size, to understand the revenue impact of each decision.
5. Act and Close the Loop: Teams could generate PRDs, get alerts for new trends via Slack or email, and use the per-customer analytics to easily follow up and close the loop on feedback.

Core Features of Inari

• Automated Feedback Analysis: Automatically processes and categorizes feedback from calls, tickets, and reviews to identify requests, defects, praises, and sentiment.
• AI Customer Insights: Surfaces actionable trends and insights through AI clustering, with every finding backed by verifiable customer quotes and metrics.
• AI-Powered Backlog & Prioritization: Generates and enriches backlog items, and prioritizes them by connecting customer feedback with revenue and GTM data from CRMs like Salesforce and HubSpot.
• Unified Feedback Repository: Centralizes customer feedback from thousands of integrations (e.g., Slack, Notion, Intercom, Gong) into a single, searchable repository.
• Customization and Personalization: Allows teams to create custom taxonomies, set up automated alerts, and even fine-tune the AI models with custom prompts for higher relevance and accuracy.
• Customer and Company Analytics: Provides a 360-degree view of feedback per customer or company, acting as a product-focused CRM to understand user needs and close the feedback loop.
• Security and Compliance: SOC 2 Type 2 compliant, ensuring data is encrypted and securely stored with strict access controls.

Use Cases for Inari

Inari was built for various customer-centric teams:

• Product Managers: To build data-backed roadmaps, validate hypotheses, and prioritize features based on customer impact and potential revenue.
• UX Researchers: To save hundreds of hours on manual analysis of user interviews and survey data, allowing them to focus on strategic research.
• CX and Support Teams: To identify the root cause of common issues, track bug reports at scale, and quantify the impact of problems on customer satisfaction.
• Sales and Growth Teams: To connect customer feedback directly to deal size and pipeline stages, providing product teams with powerful context for prioritization.
• Founders and Leadership: To get a high-level, real-time pulse on the voice of the customer and monitor how product improvements impact key metrics like NPS.

Advantages of Inari

The primary advantage of Inari was its ability to automate the monotonous yet critical task of feedback analysis at scale. This saved teams hundreds of hours per month, eliminated human bias in analysis, and ensured that product decisions were consistently grounded in real customer data. By linking feedback to revenue metrics, it provided a clear, quantifiable way to prioritize the product backlog, directly impacting growth and retention. Its user-friendly interface and powerful customization options made it a versatile copilot for any product-building organization.

Pricing and Plans

Before its acquisition, Inari operated on a freemium, credit-based model. The service is no longer available for new sign-ups.

• Trial: $0/month. Included 500 free credits after onboarding to test the platform.
• Startup Plan: $30/month. Included 1,000 credits per month, ideal for small teams.
• Growth Plan: $300/month. Included 10,000 credits per month, with added features like CRM data sync (Salesforce, HubSpot) and backlog integration (Jira, Linear).
• Enterprise Plan: Custom pricing. Offered unlimited credits, personalized fine-tuned models, API access, SSO, and prioritized integrations.

A 'credit' was a unit of measurement for analysis, where 10,000 credits could roughly analyze 10,000 pieces of feedback, 2,000 support tickets, or 400 calls.