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Aito: Predictive Database Software

Aito helps developers and enterprises implement predictive features into their workflows. It is designed for teams in finance, e-commerce, and customer support that need to automate classification or recommendations.

At a glance

Best for
Developers building AI-powered features, Enterprises in accounting and finance, Operations managers using RPA workflows, E-commerce businesses needing personalization
Pricing
Pricing includes a free Sandbox tier (5,000 API calls/month). Paid tiers include Dev at €75/month (500,000 API calls) and Prod at €350/month (unlimited API calls).
Key use cases
Invoice Processing, Customer Support Routing, E-commerce Recommendations, Data Classification
Integrations
SAP, Lemonsoft, Oscar Software, QuickBooks, NetSuite
Official website
aito.ai
Screenshot of Aito website

Aito is a predictive database that combines traditional data storage with built-in machine learning. Instead of managing separate ML models and training pipelines, users can query predictions, recommendations, and insights using a syntax similar to SQL. The system is designed to automatically build probabilistic models as data is uploaded.

The platform is aimed at developers and enterprises operating in sectors such as accounting, e-commerce, and customer support. It supports tasks such as predicting general ledger codes for invoices, routing support tickets, and suggesting products to customers.

By using Bayesian priors, the platform is designed to provide predictions even when training data is sparse. It connects to existing architectures via a REST API and can be used alongside ERP or RPA systems.

Buyers should confirm their specific API call volume and storage requirements, as these vary across pricing tiers. On-premise deployment is available via custom quote.

Key Features

SQL-like Query Predictions

Allows users to retrieve predictions and insights using SQL syntax without manual model training.

Automatic Probabilistic Modeling

Builds models and captures relationships between fields automatically when data is uploaded.

Bayesian Priors

Designed to help maintain prediction accuracy in scenarios with sparse training data.

Continuous Learning

The predictive index updates automatically as data is added or modified, which may reduce the need for retraining cycles.

Confidence Scoring

Provides a confidence score (0-1) and identifies factors that influenced a specific prediction.

Enterprise Security

Includes AES-256 and TLS 1.3 encryption and GDPR compliance, with data hosted on AWS in Ireland.

Use Cases

Invoice Processing

Predicting general ledger (GL) codes, payment terms, and cost center allocations based on invoice content.

Customer Support Routing

Assigning support tickets to specialists and suggesting potential responses.

E-commerce Recommendations

Providing product recommendations and smart search based on user behavior.

Data Classification

Automating the tagging and categorization of datasets and document types.

Best For

Developers building AI-powered featuresEnterprises in accounting and financeOperations managers using RPA workflowsE-commerce businesses needing personalization

Integrations

SAPLemonsoftOscar SoftwareQuickBooksNetSuiteUiPathAutomation AnywhereBlue PrismRobocorpMake.comZapierMicrosoft Power AutomateFreshdesk

Pricing

Pricing includes a free Sandbox tier (5,000 API calls/month). Paid tiers include Dev at €75/month (500,000 API calls) and Prod at €350/month (unlimited API calls).

FAQ

Do I need machine learning expertise to use Aito?

Aito is designed so that developers familiar with SQL-like syntax can query predictions without managing ML pipelines or training.

Where is the data stored and is it compliant?

Aito uses AWS eu-west-1 in Ireland for data residency and is GDPR compliant, using AES-256 and TLS 1.3 encryption.

What is the difference between the Dev and Prod plans?

The Dev plan costs €75/month with a limit of 500,000 API calls and 12 active server hours per day. The Prod plan costs €350/month with unlimited API calls and 24/7 server availability.

Source category: Data & Analytics

Source subcategory: Machine Learning Platform

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