Enterpret is a software platform that helps organizations turn customer feedback into actionable insights for product growth and increased revenue. By leveraging machine learning, Enterpret centralizes and analyzes customer feedback from multiple channels, enabling product and customer teams to make more informed decisions.
Enterpret's core offering is its adaptive AI models, which are uniquely tailored to each customer's feedback architecture. This approach allows the platform to deliver precise, relevant, and granular insights specific to each business. Unlike standard solutions, Enterpret builds custom natural language processing (NLP) models for every client, allowing teams to unify feedback from all sources—including surveys, support tickets, social media, sales conversations, and more—across the entire organization.
The platform then automatically tags, categorizes, and surfaces important customer insights, helping product teams prioritize features, address pain points, and drive strategic initiatives that lead to revenue growth. Enterpret also focuses on solving complex challenges in API design, analytics user interfaces, and natural language processing, utilizing first principles thinking to advance what's possible in feedback analytics.
Who Uses Enterpret?
Enterpret serves a range of technology-driven companies and product teams looking to make data-driven decisions based on customer feedback. Notable customers include Canva, Notion, Apollo, Figma, Feeld, Boll & Branch, Descript, The Browser Company, Vimeo, Samsung Food, Osmind, Loom, and Memrise. These organizations use Enterpret to unify and analyze feedback at scale, enabling more strategic product development.
How Was Enterpret Started?
Enterpret was established by a team with expertise in software engineering, product management, AI, and NLP. The founding team includes Varun Sharma (Co-founder, CEO) and Arnav Sharma (Co-founder, CTO), along with founding engineers and specialists such as Amandeep Singh, Anshal Dwivedi, Hrishi Hiraskar, Raviraja Ganta, and others. Their collective backgrounds in technology and product development inform Enterpret's focus on advanced analytics and feedback intelligence. You can learn more about their journey on the About page.
What Makes Enterpret Different?
- Custom AI Models: Enterpret is distinct in building tailored NLP models for each customer, rather than offering a one-size-fits-all solution.
- Comprehensive Feedback Unification: The platform integrates feedback from every channel and team, providing a holistic view of customer sentiment.
- Automated Tagging & Categorization: Machine learning models handle categorization and tagging of feedback, reducing manual effort and ensuring consistency.
- Strategic Product Insights: By surfacing granular insights, Enterpret empowers product organizations to make informed, revenue-driving decisions.
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