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Obviously AI
No-code AI prediction platform that builds and deploys machine learning models from a spreadsheet in minutes.
- Always free
- No credit card

What is Obviously AI?
Key features
Spreadsheet integration
upload CSV files or connect to live data sources and build models directly from your existing data
Automated model building
the platform selects appropriate algorithms and handles feature engineering without manual configuration
One-click deployment
trained models can be deployed immediately to make predictions on new data
Prediction API
integrate model predictions into your existing workflows and applications
No coding required
designed specifically for non-technical users to build production-ready models
Model explainability
view which variables have the most impact on predictions
Pros & cons
Advantages
- Genuinely no-code; anyone with spreadsheet skills can build a model in minutes
- Free tier removes barrier to entry for small projects and experimentation
- Fast iteration; test predictions quickly without waiting for data science resources
- Models are immediately usable through API or direct predictions
Limitations
- Limited to problems that fit a standard prediction framework; complex custom analyses may exceed its scope
- Free tier likely has restrictions on model complexity, data size, or API calls that aren't clearly specified
- Relies on data quality; poor input data will produce poor predictions regardless of the platform
Use cases
Predicting customer churn or lifetime value from historical customer data
Forecasting sales or demand using past transaction records
Identifying high-risk loans or fraud cases from application or transaction data
Estimating which leads are most likely to convert in a sales pipeline
Ready to try Obviously AI?
Pricing
Free
Free
Build and deploy machine learning models; API access; likely includes limitations on model count, data volume, or prediction volume
Get started with Obviously AI
Click through to Obviously AI and start using it now.
- Always free
- No credit card