Predict smarter with a single query
Query your data & get instant predictions—no model training required.
Build intelligent applications without ML complexity. Aito's predictive database lets you query predictions, recommendations, and insights using familiar SQL syntax.
Live demo → inspect logic → try with your data
{
"from" : "invoices",
"where" : {
"Description": "AWS Cloud"
},
"predict" : "Processor",
"limit": 1
}{
"hits": [{
"$p": 0.908,
"Department": "IT",
"Name": "Carol White"
}]
}See Aito in Action
Real use cases with actual query syntax and production results
NLP Text Classification
{
"from": "prompts",
"where": { "prompt": "Which payment methods do you provide?" },
"predict": "answer"
}
Try It Now — Live Predictions
Run real queries against our demo database. No sign-up required.
Invoice Processing
Predict the GL code for a cloud services invoice
{
"from": "invoices",
"where": {
"ProductName": "Cloud Services (AWS/GCP)",
"TotalAmount": 5000,
"InvoiceType": "Service"
},
"predict": "GLCode"
}From Insight to Automation — Analyze → Assist → Automate
Start with predictive analytics, progress to human-in-the-loop assistance, and automate workflows end-to-end — using the same query language.
Analyze
Make decisions from data — instantly.
Segment customers, forecast outcomes, monitor quality. Start with analytics, evolve into predictive KPIs.
Assist
Suggest the next best action — with confidence.
Smart search, recommendations, autofill and routing suggestions. Human stays in control; Aito boosts accuracy and speed.
Built for Your Industry
Production-Proven Performance
Performance metrics measured on standard cloud infrastructure
Query Intelligence, Not Static Models
Upload and Query
Continuous Learning
Multiple Predictions
See what customers are doing with Aito
What developers are building
Introducing a new database category - the predictive database
A predictive database lets you query predictions (classifications, recommendations, missing values) from structured data, using the same query interface you use for data retrieval. No training step.
Read moreThe AI Database Landscape in 2026: Where Does Structured Prediction Fit?
Databases are absorbing AI capabilities. A taxonomy of the four categories emerging in 2026: vector databases, ML-in-database platforms, LLM-augmented databases, and predictive databases.
Read moreWhy Aito Predicts Accurately with Little Data
Aito uses a layered system of Bayesian priors to make accurate predictions even when training data is sparse. This is how it works, why it matters for cold-start scenarios, and what the numbers look like.
Read more
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