4 Sources
[1]
Enterpret raises $20.8M to interpret customer feedback everywhere with AI models
Enterpret raises $20.8M to interpret customer feedback everywhere with AI models A startup called Enterpret Inc. says it's using artificial intelligence algorithms to transform customer feedback into valuable insights that can inform product development, raising $20.8 million in a Series A funding
[2]
Customer feedback analytics platform Enterpret raises $20 million from Canaan Partners, others
The funds will be used by the company to scale its platform, deploy no-code AI agents to help customers streamline collaboration across product, marketing and sales teams, and enhance the feedback collection processes. The funding round saw the participation from Kleiner Perkins, Peak XV Partners,
[3]
Enterpret Bags $20.8 Mn To Provide AI Driven Customer Feedback To CXOs
The startup said it will use the fresh funding for scaling up its marketing and sales team and to deploy no-code AI agents Enterprise tech startup Enterpret has raised $20.8 Mn (over INR 175 Cr) in its Series A funding round led by Canaan Partner. The round also saw participation from Kleiner
[4]
This ex-Scale AI leader built a platform to automatically extracts insights from customer feedback | TechCrunch
In this hyperconnected world we live in, it's easier than ever to send feedback to the companies we patronize. But just because businesses offer more ways to get in touch doesn't mean they're poring over every comment. According to a 2020 survey from Productboard, 90% of companies fail to
Share
Copy Link
Enterpret, an AI-powered customer feedback analytics platform, secures $20.8 million in Series A funding to transform how companies interpret and utilize customer insights for product development and business growth.

Enterpret Inc., a startup leveraging artificial intelligence to transform customer feedback into actionable insights, has raised $20.8 million in a Series A funding round led by Canaan Partners
1
2
. The investment, which also saw participation from Kleiner Perkins, Peak XV Partners, Wing Ventures, and Recall Capital, aims to revolutionize how companies interpret and utilize customer feedback for product development and business growth2
3
.Founded in 2020 by brothers Varun and Arnav Sharma, Enterpret addresses the challenge of fragmented customer feedback collection and analysis
1
. The platform uses adaptive, no-code AI algorithms to unify and analyze large volumes of unstructured feedback data from various channels, including sales calls, support tickets, surveys, and social media1
2
.Varun Sharma, CEO of Enterpret, explained, "Customer interactions are a precious yet immensely underutilized data set for all enterprises that can now be unlocked meaningfully for the first time ever in this post-LLM world to build best-in-class products and drive business growth"
3
.Enterpret's AI-driven platform offers several advantages:
2
.1
.1
.2
.The startup has already gained traction with notable clients, including Monday.com, Canva, Notion, Loom (acquired by Atlassian), and Vimeo
2
3
. Lauryn Motamedi, head of product growth at Notion, praised Enterpret's ability to provide a unified view of customer experiences with new products2
.Related Stories
Enterpret plans to use the new funding to:
2
3
.2
.2
.3
.The investment in Enterpret reflects the growing importance of AI in business operations. The global conversational AI market is expected to reach $29.8 billion by 2028, growing at a CAGR of 22.6%
3
. This trend aligns with the increasing focus on customer-centric approaches in successful companies1
.Rayfe Gaspar-Asaoka from Canaan Partners commented on the investment, stating, "We believe the Qualtrics of the AI era has arrived"
1
, highlighting the potential impact of Enterpret's technology on the customer feedback analysis landscape.As Enterpret continues to grow, having doubled its annual recurring revenue since May 2024
2
, it aims to establish itself as the operating system for customer centricity in the AI-driven business world3
.Summarized by
Navi
[2]
1
Science and Research

2
Policy and Regulation

3
Technology