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Custom AI application development

Saviano develops AI applications for businesses: document assistants, search features and automation integrated into business software. We start with the use case, then evaluate models and data before deployment.

Build an application connected to the business

An AI application includes an interface, permissions, data sources and a workflow. We define expected tasks, users and decisions that must remain under human control.

Integrating an existing model, searching your documents or a specific adaptation are options to compare. Dedicated research or model training requires a separate scope.

Evaluate responses and control actions

Representative cases help assess quality, errors, response time and usage cost. For document assistants, accessible sources and references must be verifiable.

Actions in business tools are limited by agreed permissions and rules. Sensitive cases require human approval, and logs help explain the operations performed.

Move from prototype to maintainable application

We organise API integration, deployment and monitoring around your constraints. Scoping specifies which data can be sent to model providers and the hosting requirements.

Acceptance criteria, operating costs and the impact of model changes are documented. Maintenance should support re-evaluation as data and use cases evolve.

Division 02

What we deliver

Catalogue translation pipeline

Full translation, automated checks and an audit of the rendering language by language.

Document extraction

Invoices, price lists, spreadsheets and portable documents turned into usable, traceable data.

Internal business assistant

A tool-equipped agent on your own data, with a log, a budget and an explicit scope of action.

Classification and enrichment

Catalogue categorisation, attribute extraction, duplicate detection.

Visual generation

Consistent presentation imagery, with colour control and piece-by-piece verification.

Assessment and framing

An honest measure of the expected gain before development is committed, including the negative conclusion.

Technologies

Language modelsTypeScriptNode.jsPostgreSQLJob queuesImage processing

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