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 in this demo environment (production scales 20-168ms across 10M+ records). Zero ML training or model deployment are needed, because aito.ai's realtime statistical modeling capabilities.
Explore production-ready AI capabilities through focused business outcomes
Transform user experiences with intelligent personalization
Personalized results increase relevance by 40%
View Implementation →User behavior drives 3x higher conversion rates
View Implementation →Predictive suggestions reduce form completion time 60%
View Implementation →Shopping predictions increase average order value 25%
View Implementation →Automate complex workflows with AI-powered decision making
95% accuracy on GL code prediction eliminates manual review
View Implementation →Instant routing reduces response time from hours to minutes
View Implementation →Automatic categorization saves 80% of manual labeling effort
View Implementation →Real-time sentiment analysis identifies issues 10x faster
View Implementation →Natural language interfaces that understand context and intent
Transform data into actionable insights and forecasts
Explore the complete source code, technical documentation, and performance benchmarks
{
"from": "impressions",
"where": {
"context.user": "larry"
},
"recommend": "product",
"goal": { "purchase": true }
}
Production-ready AI without the complexity of traditional ML infrastructure
Episto Oy
Putouskuja 6 a 2
01600 Vantaa
Finland
VAT ID FI34337429