Reminders And Events NLP

FREEMIUM
By assaf.elovic
Updated 2 months ago
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Reminders And Events NLP API Overview

Tiv.ai is a reminder domain-specific API trained with over 50M data sets, for understanding natural language in reminders and date/time domains. Our accuracy is over 94% for most of the valid use cases. Today we are officially releasing our trained AI for entity extraction to the public. This API is being used by our virtual assistant (aka Me) which assists over 3.5M users worldwide!

What’s special about our AI?

  • Recurring reminders understanding. Example: "…every Monday and Tuesday" / "on Mondays and Tuesdays" / etc
  • Relative understanding. Example: “…a week before Christmas”
  • Holiday understanding (Christian). Example: “Clean house a few days before Christmas”
  • Multiple reminder understanding. Example: “take pills every morning and night for the next 5 days”
  • Overall state of the art body and time extraction
  • Much more!

Contact us at [email protected] for any questions.

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Tiv.ai is a well funded startup, building one of the smartest AI virtual assistants to date. Thanks to over 3.5M users and over 800K monthly set reminders, we've reached a state of the art model that has over 94% accuracy for any natural language queries in the reminder/date/time domain.

What’s special about our AI?

  • Recurring reminders understanding. Example: "…every monday and tuesday" / "on mondays and tuesdays" / etc
  • Relative understanding. Example: “…a week before Christmas”
  • Holiday understanding (Christian and Jewish). Example: “Clean house a few days before passover”
  • Multiple reminder understanding. Example: “take pills every morning and night for the next 5 days”
  • Overall better body and time extraction
  • Personalised time understanding. API can receive subjective time for morning, night, afternoon, etc. It will translate natural language to user specific time personalisation.

Simply send a POST request with the following params example:
{ query: "take a pill every morning and night for the next 10 days", timezone: "America/New_York" }

Response will break down all relevant entity extraction such as body: 'take a pill', recurring: true, etc.

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