
Query your data & get instant predictions—no model training required.
Software has always treated the user as the inference engine. Aito is the predictive database that makes the assumption optional — proven across predictive ERP, predictive accounting, and predictive e-commerce.
See the demos → recognize the pattern → talk to engineering
{
"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"
}

The three modes of a predictive application: Analyze, Assist, Automate. Same predictive operators across all three.
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.
Apply all three across every screen — that's a predictive application.









For developers — run real predictive queries against Aito's demo database, no sign-up. The shape of the API, visible in seconds.
Predict the GL code for a cloud services invoice
{
"from": "invoices",
"where": {
"ProductName": "Cloud Services (AWS/GCP)",
"TotalAmount": 5000,
"InvoiceType": "Service"
},
"predict": "GLCode"
}Performance metrics measured on standard cloud infrastructure

Tobias Vogel,
Chief Revenue Officer @Gridpane
Buyers ask whether a predictive database can hold up at SaaS scale. Here are the numbers from a 10-million-row invoice routing benchmark, run end-to-end through Aito's HTTP API the way production traffic actually hits it: low-hundreds-of-milliseconds predict latency, sub-linear scaling from 1k to 10M, and what the cold-start looks like before the cache warms.
Read more
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.
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