Production information moves between workshops, teams and existing business systems. Saviano develops custom web applications, mobile apps and industrial SaaS platforms to connect these workflows and make daily operations easier to track.
We start with a specific process: recording an intervention, tracking a batch, consolidating a schedule or preparing a production dashboard. Scoping identifies the users, the required data and the exceptions the application must handle.
A mobile app can support field teams while a web portal lets supervisors review progress and manage discrepancies. Offline use is assessed against actual working conditions and the required synchronisation behaviour.
Industrial software needs to fit the tools already in use. We assess available APIs, file formats and access rules before defining exchanges with your ERP, maintenance management system or databases.
Change history, role permissions and consistency checks are agreed with your teams. A clear source for each piece of information and recovery mechanisms help reduce duplicate entry and make exchange failures easier to investigate.
An initial usable scope lets operators and business owners validate the workflow. Integration testing, any data migration and a gradual launch are then organised around the agreed acceptance criteria.
The contract defines hosting, backups, maintenance and responsibilities. Functions involving equipment or production safety require a scope and validation process agreed with the relevant specialists.
These scenarios illustrate possible applications. They are not client case studies or reported project results.
Operators record progress on mobile. A portal links events to batches, displays discrepancies and sends approved information to existing business systems. This is a possible application scenario.
Yes. The application can complement your ERP. Scoping checks integration options, accessible formats and any licensing requirements before choosing an interface.
Select one priority workflow, its users and an observable outcome. We then define a prototype, the interfaces and acceptance criteria before expanding the scope.
It depends on the problem. A structured workflow or dashboard may be enough. AI is considered when it offers measurable assistance and can be evaluated on your data.
Architecture, permissions, integrations and incremental delivery of your SaaS platform.
iOS and Android applications designed for their users and integrated with your systems.
AI applications connected to your data, business tools and workflows.
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.