Enterpret
Aggregating and analyzing customer feedback in real-time with advanced ML models across all channels.
| Date | Investors | Amount | Round |
|---|---|---|---|
| investor investor | €0.0 | round | |
| investor investor investor | €0.0 | round | |
* | $20.8m | Series A | |
| Total Funding | 000k | ||
| USD | 2021 | 2022 | 2023 |
|---|---|---|---|
| Revenues | 0000 | 0000 | 0000 |
| % growth | - | 276 % | - |
| EBITDA | 0000 | 0000 | 0000 |
| Profit | 0000 | 0000 | 0000 |
| EV | 0000 | 0000 | 0000 |
| EV / revenue | 00.0x | 00.0x | 00.0x |
| EV / EBITDA | 00.0x | 00.0x | 00.0x |
| R&D budget | 0000 | 0000 | 0000 |
Source: Dealroom estimates
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Enterpret is a startup that specializes in transforming customer feedback into actionable insights for product growth. The company operates in the market of customer feedback intelligence, serving product companies that are customer-led. Enterpret's business model revolves around unifying and categorizing customer feedback from various sources using adaptive AI models. This allows for precise and granular insights that can be used to prioritize and build products that matter to the customer base.
Enterpret's platform is designed to be user-friendly and accessible to non-technical operators. It features a pleasant user interface, easy-to-build dashboards, and automated summaries of relevant data. The platform also includes a powerful semantic search feature, allowing users to search across all feedback for what the customer meant, not just how they said it.
The company's unique selling proposition is its Custom Unified Feedback Taxonomy, which gives structure to unstructured customer feedback. This taxonomy adapts to changes in feedback over time, ensuring that the insights remain relevant and actionable.
Enterpret generates revenue by offering its platform and services to product companies. It also provides dedicated data auditors for weekly model refreshes and a dedicated CSM partner, ensuring that the platform remains up-to-date and effective.
In summary, Enterpret is a customer feedback intelligence company that uses AI to unify and categorize customer feedback, providing actionable insights for product development teams.
Keywords: Customer Feedback, Product Growth, AI Models, Unified Feedback, Granular Insights, Semantic Search, User-friendly Analytics, Custom Feedback Taxonomy, Data Auditors, Customer-Centric Strategy.