What is Obviously AI?

Obvious AI is a no-code AI tool that allows users to build and deploy predictive models in minutes, without needing any AI background or coding knowledge. It can predict anything from tabular data, including values at specific dates and time series. It includes features such as model building, deployment, monitoring, and integrations with other tools like Zapier and Salesforce. Its use cases include lead conversion, fraud detection, inventory prediction, and more.

⭐ Key features

Obviously AI core features and benefits include the following:

  • âœ”ī¸ Build-predictive-models.
  • âœ”ī¸ No-code.
  • âœ”ī¸ Minutes.
  • âœ”ī¸ Tabular-data.
  • âœ”ī¸ Date-time.

âš™ī¸ Use cases & applications

  • âœ”ī¸ lead conversion prediction.
  • âœ”ī¸ fraud detection.
  • âœ”ī¸ inventory prediction.

đŸ™‹â€â™‚ī¸ Who is it for?

Obviously AI can be useful for the following user groups:

Data analysts
Business analysts
Decision makers
No-code enthusiasts
Citizen data scientists

💰 Pricing plans

Obviously AI offers a Free trial pricing model. You can try the tool for free and then upgrade to a paid plan when you are ready.

Obviously AI pricing packages

  • Service: unlimited requests plan : $0
  • Service: unlimited requests plan : $999/mo
  • Full access plan : $999/mo
  • Service: unlimited requests plan : $1999/mo

** Pricing packages are subject to change. Always verify pricing information here

â„šī¸ Find more & support

Obviously AI provides an API that developers can use for programmatic access which makes it easy to integrate it with other tools or within your own applications.

You can also find more information, get support and follow Obviously AI updates on the following channels:

How do you rate Obviously AI?

5 1 ratings

Breakdown 👇

Value for money:
5
Ease of Use:
5
Performance:
5
Features:
5
Support:
5
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🔎 Similar to Obviously AI

💡 Discover complementary tasks that work alongside Obviously AI to elevate your workflow.

Data preparation Feature engineering Model selection Hyperparameter tuning Model evaluation
âšĄī¸ Data preparation
âšĄī¸ Feature engineering
âšĄī¸ Model selection
âšĄī¸ Hyperparameter tuning
âšĄī¸ Model evaluation
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