
When this happens...

Automatically do this!
Enable Integrations or automations with these events of Eden AI and surveysensum
Conver Text message into audio.
Generate a Human-like responses to various inputs and queries.
Translate a Text into another language.
Eliminate The backgroun of a Photo.
The Ai Detection Api is a tool is a designed to whether given a text was generated by an artificial intelligence , chatboat or a language model.
Identify Human faces in Digital Images : position ,age,smile etc.
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To start, connect both your Eden AI and surveysensum accounts to viaSocket. Once connected, you can set up a workflow where an event in Eden AI triggers actions in surveysensum (or vice versa).
Absolutely. You can customize how Eden AI data is recorded in surveysensum. This includes choosing which data fields go into which fields of surveysensum, setting up custom formats, and filtering out unwanted information.
The data sync between Eden AI and surveysensum typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.
Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.
Yes, you can set conditional logic to control the flow of data between Eden AI and surveysensum. For instance, you can specify that data should only be sent if certain conditions are met, or you can create if/else statements to manage different outcomes.
Eden AI is an AI API aggregator that allows you to use many AI technologies and providers without having to set up each API individually.
Learn MoreSurveySensum offers an end to end Customer Experience Platform that measures and improves your CX metrics with CES, NPS, and CSAT surveys. It lets you gather customer feedback at all touchpoints and turn them into actionable insights. After receiving feedback it enables you to prioritize actions to improve products or services and proactively reduce churn and drive growth. Also, its Conversation Analysis platform allows you to discover new trends and insights with real-time text and sentiment analysis on qualitative voice of the customer data from sources like Chat bot conversations, app store reviews, social media etc and save hours of manual data processing with automated feedback tagging.
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