Arcade

Collaborative augmented intelligence — the AI-native OS that unifies the DECODia system.

An environment with three scopes

Arcade is the working environment in which DECODia and its modules operate. It is where collaborative augmented intelligence takes shape, serving both the analytical production of h2\'s teams and continuous client collaboration on strategic topics. Three readings of the same environment structure its value: internal analytical production, client collaboration over time, and the transformation of documentary capital into intelligence in circulation.

Environment for analytical production

Arcade brings together DECODia\'s technical and methodological capabilities in a unified workspace: assistants calibrated to the project\'s context, persistent artefacts, context hierarchisation aligned with analytical intent, memory of past analyses. Each module (BELA, CLEA, DRIO, PIVO) mobilises the system\'s building blocks within a continuous flow across framing, exploration, analysis and activation phases.

Benefit: an analytical production conducted within a coherent system, where each action enriches the shared context rather than fragmenting information across tools.

Space for client collaboration

Arcade is made available to clients to extend the use of analyses produced beyond the investigation phase. Studies, corpora, cartographies and tools remain available in a structured space, interrogable and activable over time. A new strategic question can be instructed from the history of analyses, without manually retracing the documentary chain.

Benefit: the research and knowledge capital built on a project remains mobilisable, structuring continuity of the relationship and decision-making over time.

From document management to intelligence in circulation

Arcade does not limit itself to classifying or indexing produced knowledge. The environment makes analyses speak to each other, recomposes context according to the questions posed, and produces intelligence that enriches itself as it is solicited. The promise of intelligence management exceeds that of knowledge management: it is no longer about better organising what has been learned, but about transforming documentary capital into an operating system.