Catalogue translation pipeline
Full translation, automated checks and an audit of the rendering language by language.
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.
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.
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.
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.
AI applications connected to your data, business tools and workflows.
Full translation, automated checks and an audit of the rendering language by language.
Invoices, price lists, spreadsheets and portable documents turned into usable, traceable data.
A tool-equipped agent on your own data, with a log, a budget and an explicit scope of action.
Catalogue categorisation, attribute extraction, duplicate detection.
Consistent presentation imagery, with colour control and piece-by-piece verification.
An honest measure of the expected gain before development is committed, including the negative conclusion.
Technologies
Industry, research and biology: users, data and acceptance criteria shape the application.
Production tracking, traceability, field applications and business system integrations.
02Data collection, processing, visualisation and collaboration for research teams.
03Sample tracking, result exchange and automation of laboratory workflows.
Tell us about your objective, context and timeline. We will help define the next step.
Tell us about your project