INTRODUCTION
Corporate and cultural institution archives have very diverse characteristics and purposes, which make standardized management and enhancement solutions ineffective. The use of general-purpose tools risks oversimplifying archival complexity, limiting accessibility, searchability, and the strategic value of the content. The Made in Heritage approach stands out by offering tailored, “bespoke” solutions built on the specificities of each context, integrating IT, design, and humanities expertise to develop digital enhancement projects and implement advanced solutions based on artificial intelligence.
DIGITAL ENHANCEMENT
The digitization of cultural heritage is often fragmented into separate and poorly coordinated processes. When infrastructures, software, and digital platforms are not designed in an integrated manner, heritage management becomes complex and inefficient.
Made in Heritage develops tailored digital enhancement projects, integrating physical infrastructures, software, and digital platforms into a coherent ecosystem. These solutions enable management of the entire heritage enhancement cycle: from the digitization process to preservation, from internal consultation to public dissemination, ensuring quality, continuity, and accessibility over time.
Digitization Laboratory
Made in Heritage’s digitization laboratories are spaces designed to support the digital transformation of archives and physical catalogues.
MIHA Box
The technological core of every digitization project, MIHA Box is the integrated system that coordinates scanners, software, algorithms, and operators into a single intelligent organism.
xDams
An open-source platform for managing, cataloguing, and distributing digital and multimedia content, xDams transforms a digitized archive into a resource that can be consulted, shared, and enhanced.
AI SOLUTIONS
General-purpose artificial intelligence tools are not designed to operate on complex historical archives and may not always ensure secure handling of information. Uncontrolled use of AI can produce inaccurate information, reduce data reliability, and compromise the quality of research and consultation.
The AI solutions developed by Made In Heritage are designed specifically for the heritage they operate on. Our models are adapted to the particularities of the archives, the content formats, and the consultation methods required, ensuring a personalized, reliable, and controlled use of artificial intelligence.
AudioNavigator
AudioNavigator is an AI-based solution for navigating, consulting, and intelligently searching within audio content. It transforms audio files—often difficult to explore and rich in unannotated information—into materials that are immediately searchable, structured, and easy to understand.
ArchiBot
ArchiBot is an AI-based digital assistant for archival research. It allows users to query a document archive in natural language through the use of large language models (LLMs), retrieving information from thousands of documents, reconstructing it accurately, and always citing the relevant sources.
MetaAssistant
MetaAssistant is an AI-based automatic cataloging platform designed to support catalogers and archivists in describing large quantities of images. The system analyzes each photograph, recognizes people, places, objects, and context, and generates structured metadata along with a description consistent with archival and cataloging standards.