12 AI Features in One Application
The predictive database demo with use cases and code examples
This application demonstrates how predictive database can be used in real life. All features are done with SQL-like queries with sub-50ms inference time. Zero ML training or model deployment are needed, because aito.ai's realtime statistical modeling capabilities.
Recommendations
Personalized recommendations based on user behavior
Smart Autocomplete
Personalized suggestions and form completion
Smart Search
Personalized search results based on user behavior
Cart Autofill
Predictive shopping cart suggestions
AI Assistant
Conversational AI that uses predictive functionality
Question answering
Question answering with natural language processing
Feedback sentiment and classification
Feedback sentiment analysis and classification based on history
Ticket classification and routing
Ticket classification, prioritization and routing
Invoice Processing
GL code prediction and document processing
Tag Prediction
Automatic categorization and labeling
Product Analytics
Real-time insights and predictive analytics
Purchase Analytics
Discover what drives buying decisions
Implementation Details & Use Cases
Explore the complete source code, technical documentation, and performance benchmarks
{
"from": "impressions",
"where": {
"context.user": "larry"
},
"recommend": "product",
"goal": { "purchase": true }
}
Why Engineers Choose Aito
Production-ready AI without the complexity of traditional ML infrastructure
SQL-Like Queries
- Familiar syntax for predictions
- No feature engineering required
- Real-time results
Zero MLOps
- No model training/deployment
- Automatic schema inference
- Self-improving accuracy
Production Ready
- Sub-100ms latency
- Enterprise security
- Horizontal scaling
Address
Episto Oy
Putouskuja 6 a 2
01600 Vantaa
Finland
VAT ID FI34337429
