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.
Aito is a specialized database that performs statistical inference at query time, eliminating the need for pre-trained models
Unlike traditional ML that trains models upfront, Aito creates query-specific models on demand
Each prediction query triggers real-time feature selection, concept learning, and Bayesian inference
Models don't exist until queried - eliminating deployment, versioning, and drift issues
Same Bayesian foundation powers predictions, recommendations, and search
Here are 3 live queries that demonstrate Aito's predictive capabilities
Predict product category from invoice description
{ "from": "invoices", "where": { "ProductName": "Cloud Services (AWS/GCP)", "TotalAmount": 5000, "InvoiceType": "Service" }, "predict": "Processor", "select": [ "$p", "Name", "Role" ] }
Explore complete applications built with Aito's predictive database. See personalized search, AI assistants, and document processing in action - all implemented in hours, not months.
Same search query returns different results for Alice, Larry, and Veronica based on their preferences. See how AI personalizes "milk" searches for dietary restrictions.
Shopping assistants help customers find products while admin assistants provide business insights. Built with the same predictive database - no separate NLP infrastructure.
AI predicts GL codes, extracts payment terms, and detects anomalies from invoice data. The same system Posti uses to process 3,000+ invoices monthly with 95% accuracy.
Comprehensive comparison for technical decision-makers choosing AI approaches for structured data use cases
Build NLP pipeline → Extract entities → Train classification model → Deploy MLOps infrastructure
Send invoice text to LLM with few-shot examples
Upload invoice data → Query for prediction with confidence score
Most enterprises benefit from combining approaches strategically
Production-proven performance across enterprise deployments
Key metrics from production deployments and third-party testing
Real customer deployments in production environments
No pipelines, no model deployments, no infrastructure to maintain. Just query predictions like data.
One system handles predictions, recommendations, search, and analytics for structured data scenarios.
Existing development team can implement AI features. No specialized ML expertise required.
Flexible deployment options and data governance for regulated environments
Deploy in your own cloud infrastructure or use EU-hosted managed service
Complete control over data location and access with no vendor lock-in
Built-in compliance features for European data protection requirements
Estimated cost comparison for enterprise prediction use cases
Episto Oy
Putouskuja 6 a 2
01600 Vantaa
Finland
VAT ID FI34337429