Obviously AI
No-code AI analytics. Predict outcomes from your data in minutes.
About Obviously AI
Obviously AI is a no-code AI analytics platform that enables business users to build predictive models and extract insights from data without writing a single line of code. Upload your data, ask a question in plain English (like 'Which customers are likely to churn?' or 'What will sales be next quarter?'), and Obviously AI automatically selects the best machine learning model, trains it, and delivers predictions with explanations. The platform handles the entire data science pipeline from data preprocessing and feature engineering to model selection, training, and deployment via API. Obviously AI is built for business analysts, marketing teams, and operations managers who need predictive insights but don't have data science expertise or the budget to hire one.
Key Features
- ✓Natural Language Predictions: Describe what you want to predict in plain English and get a trained ML model automatically.
- ✓AutoML Pipeline: Automated data cleaning, feature engineering, model selection, and hyperparameter tuning.
- ✓Model Explanations: Understand why predictions are made with feature importance scores and SHAP values.
- ✓REST API Deployment: Deploy any model as an API endpoint for integration into your applications and workflows.
- ✓Data Monitoring: Track model performance over time and get alerts when accuracy degrades.
- ✓Anomaly Detection: Automatically identify unusual patterns and outliers in your business data.
Pricing
| Plan | Price | Key Features |
|---|---|---|
| Free | See official pricing | |
| Starter | See official pricing | |
| Pro | See official pricing | |
| Enterprise | Custom |
Some pricing plans have not been verified against official sources recently. Confirm on the official pricing page before purchasing.
Pros & Cons
✅ Pros
- ✅ True no-code predictive analytics
- ✅ Handles the full ML lifecycle automatically
- ✅ Good model explanation features
- ✅ API deployment makes models production-ready
⚠️ Cons
- ⚠️ Pricey for individual users
- ⚠️ Limited control over model selection
- ⚠️ Not ideal for very complex custom models
Use Cases
Customer Churn Prediction
A SaaS company uploads customer usage data and asks Obviously AI to predict which accounts are likely to cancel, enabling the success team to intervene proactively.
Sales Forecasting
A retail business uses historical sales data to predict next month's revenue by product category, helping with inventory and staffing decisions.
Lead Scoring
A marketing team builds a model that ranks incoming leads by conversion probability, ensuring sales reps focus their effort on the most promising prospects.
Alternatives
Frequently Asked Questions
Do I need to know machine learning to use Obviously AI?
No, that's the core value proposition. You describe what you want to predict in plain English, upload your data, and Obviously AI handles all the technical steps automatically.
What types of predictions can Obviously AI make?
Obviously AI supports classification (predicting categories like churn/no-churn), regression (predicting numbers like revenue), and time-series forecasting (predicting future values based on historical trends).
How do I integrate predictions into my app?
Every trained model gets a REST API endpoint. You can send data to it programmatically and receive predictions in JSON format. Obviously AI also supports webhooks and Zapier integrations.