Obviously AI
Obviously AI enables AI forecasting and predictive analytics on your own data in minutes — without data science expertise.
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Obviously AI enables AI forecasting and predictive analytics on your own data in minutes — without data science expertise.
Pros & Cons
Vorteile
- Very easy to use
- Explainable AI decisions
- API deployment included
- Fast model training
Nachteile
- More expensive than Akkio
- Mainly for classification/regression
- Limited visualizations
Features
Obviously AI allows the creation of machine learning prediction models without a single line of code — via drag-and-drop and natural language.
The system automatically tests various ML algorithms and selects the best model for the available data.
Data can be uploaded as CSV or sourced directly from databases like Snowflake, BigQuery, or MySQL.
After training, Obviously AI immediately delivers predictions for new data points, such as churn probability or revenue forecasts.
The tool explains which data points contribute most to a prediction — for transparent AI decisions.
Trained models can be integrated into existing applications and workflows via a REST API.
In Detail
What Is Obviously AI?
Obviously AI is a no-code predictive analytics platform designed for business users who need machine learning insights without a data science team. Upload your data from a spreadsheet, database, or connected integration, point it at a prediction target, and Obviously AI trains a model, evaluates its accuracy, and provides predictions — all in minutes.
Explain AI: Understanding Your Model
A key differentiator is the "Explain AI" feature, which surfaces feature importance scores showing which variables in your dataset most influence the prediction. For example, in a churn model you might discover that days-since-last-login and support ticket count are the top predictors, giving business users actionable direction without needing to interpret model coefficients.
Integrations & Data Sources
Obviously AI connects natively with Salesforce, Google Sheets, Snowflake, and other common business data sources. Once a model is trained, predictions can be pushed back to your source system or exported, making it practical to embed AI predictions in existing reporting and operational workflows.
Pricing & Target Users
Plans start from $75/month, positioning Obviously AI for small-to-mid-size businesses that need predictive analytics without the overhead of hiring a data scientist or building a custom ML pipeline. Typical users include marketing analysts forecasting campaign performance, sales operations teams scoring pipelines, and e-commerce managers predicting inventory demand.
FAQ
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