The Database That Thinks
Query explainable decisions without ML complexity
Aito transforms AI from complex infrastructure into simple database queries. Your existing development team can implement intelligent features in hours using familiar SQL-like syntax, without MLOps pipelines, model training, or data science expertise.
{
"from" : "invoices",
"where" : {
"Description": "AWS Cloud"
},
"predict" : "Processor",
"limit": 1
}{
"hits": [{
"$p": 0.908,
"Department": "IT",
"Name": "Carol White"
}]
}What is Aito? The Predictive Database Explained
Aito is a specialized database that performs statistical inference at query time, eliminating the need for pre-trained models
Query-Time Model Creation
Each prediction query triggers real-time feature selection and Bayesian inference in milliseconds
No model artifacts to deploy or maintain - models created and discarded per query
Explainable by Default
Every decision returns probability + explanation factors that sum to the outcome
Factor contributions show exactly why the AI made its decision
Multi-Target Intelligence
One dataset powers unlimited use cases - predict any field from any other fields
Same Bayesian foundation handles predictions, recommendations, and search
Interactive AI Capabilities - Live Examples
Experience 8 production-ready AI implementations with real data and instant results
Invoice & Document Processing
Automate AP workflows with AI-powered extraction and prediction
E-commerce & Recommendations
Deliver personalized shopping experiences at scale
AI Assistants
Conversational AI for customer and internal support
Predictive Analytics
Transform data into actionable insights and forecasts
See It In Action
Try live queries that demonstrate Aito's predictive capabilities with real data
Interactive Predictions
Test different prediction scenarios with live data. Each query creates a custom model, makes the prediction, and provides explainable results.
Invoice Processing
Predict who should process a cloud services invoice based on description and amount
{
"from": "invoices",
"where": {
"ProductName": "Cloud Services (AWS/GCP)",
"TotalAmount": 5000,
"InvoiceType": "Service"
},
"predict": "Processor",
"select": [
"$p",
"Name",
"Role",
"Department"
]
}Performance Benchmarks & Production Validation
Key metrics from production deployments and enterprise customers
Posti (Logistics)
Invoice GL code prediction • 3,000+ invoices/month
95% accuracy requirement consistently met
GridPane (Technology)
Support ticket automation • Cloud infrastructure provider
2-hour implementation time for production deployment
Implementation in 4 Simple Steps
From data to intelligent decisions in hours, not months
Upload Your Data
CSV, JSON, or direct database connection - no complex data preparation required
Query Predictions
Use familiar SQL-like syntax to request predictions with confidence scores
Get Explainable Results
Receive decision + probability + explanation factors for full auditability
Human-in-Loop (Optional)
Set confidence thresholds for automatic vs. manual review workflows
Technical Decision-Maker FAQ
Common questions from CTOs and engineering leaders evaluating Aito's predictive database technology.
How is this different from traditional ML infrastructure?
What's the actual integration effort with our existing systems?
How do you ensure data privacy and EU compliance?
What happens when the AI makes mistakes?
How does performance scale with data volume?
Join Engineering Leaders at Posti, GridPane, and 20+ Companies
See how predictive database technology can transform your AI strategy
45-minute technical session covering architecture, security, implementation strategy, and specific recommendations for your use cases
Address
Episto Oy
Putouskuja 6 a 2
01600 Vantaa
Finland
VAT ID FI34337429
