Enterpret
Turn customer feedback into product growth.
| About | Details |
|---|---|
| Name: | Enterpret |
| Submited By: | Roberto Smith |
| Release Date | 1 year ago |
| Website | Visit Website |
| Category | Analytics Customer Communication SaaS Data & Analytics |
Enterpret unifies your customer feedback across all data sources and builds adaptive AI models custom to your feedback architecture to accurately extract granular insights.
Congrats on launch Enterpret team! Looks impressive. Will definitely give it a spin :) and give feedback.
10 months ago
What an innovative product! What features of Enterpret make it stand out from other customer feedback solutions?
11 months ago
Congratulations Enterpret team on your launch! Consolidating customer feedback from different channels, understanding them, and making product decisions based on that is really challenging. Delighted to see Enterpret tackle this issue head on and simplify the lives of decision makers.
11 months ago
Enterpret looks like the voice of customer tool I always wanted. Exciting features.
11 months ago
I definitely love your tagline! "Customer Feedback Analytics like it was supposed to be!"
1 year ago
For a relatively new company that doesn't have a process in place to gather customer feedback, does enterpret provide tools to setup feedback flows as well?
1 year ago
Congrats @varun_sharma4 @arnavsharma and the Enterpret team, amazing progress in the last year!
1 year ago
Looks super neat! Really exciting to see a product that prioritizes + centralizes feedback all in one place! Being able to automate and scale customer feedback reports has always been really challenging so this seems like a great solution!
1 year ago
Looks amazing. Would be great to have some more visibility on pricing - $ per volume data. Is this something that will be considered?
1 year ago
This is such a welcome launch. With a lot of breakthroughs in generative technology - especially in LLMs, it has become easier to leave low-quality feedback/ fake reviews that makes extracting meaningful signal for businesses even harder. In such a scenario, curious to learn how Enterpret handles this complexity.
1 year ago
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