
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"
}]
}Real use cases with actual query syntax and production results
{
"from": "prompts",
"where": { "prompt": "Which payment methods do you provide?" },
"predict": "answer"
}

Run real queries against our demo database. No sign-up required.
Predict the GL code for a cloud services invoice
{
"from": "invoices",
"where": {
"ProductName": "Cloud Services (AWS/GCP)",
"TotalAmount": 5000,
"InvoiceType": "Service"
},
"predict": "GLCode"
}Start with predictive analytics, progress to human-in-the-loop assistance, and automate workflows end-to-end — using the same query language.
Make decisions from data — instantly.
Segment customers, forecast outcomes, monitor quality. Start with analytics, evolve into predictive KPIs.
Suggest the next best action — with confidence.
Smart search, recommendations, autofill and routing suggestions. Human stays in control; Aito boosts accuracy and speed.
Performance metrics measured on standard cloud infrastructure
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 moreAito 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.
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We raised API limits by 25x on Dev and removed them entirely on Prod. The free Sandbox trial window is back to 30 days. Here is what changed and why.
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