We present projects with their problem, scope, knowledge and context architecture, governance controls and measured results whenever they can be published.
Projects where we have applied knowledge, context and governed AI to real needs.
Assisting legal professionals with case files and case law through controlled generation, evidence and human validation. Cognitive Digital Twin of the legal domain; contextual retrieval; explainability; Human-in-the-Loop.
Guidance on public information and services through a contextual base of institutional knowledge. Semantic onboarding; Knowledge Graph; context per user/segment; governed assistant.
Support for generating commercial proposals using the domain's technical and documentary knowledge. Structured knowledge; proposal context; controlled generation; reuse.
Copilot for support and practical assessment in learning environments. Contextual assistant; personalization; user support; documentary evidence.
Natural-language queries on health data, transformed into structured queries with verifiable results. Ontologies; Graph/SQL; semantic context; traceability of query and result.
Cognitive Digital Twin applied to liquid probiotic manufacturing and human-AI collaboration. Industrial knowledge; protocols; process; experts; governed context for people and systems.
Each case study explains what problem existed, in what context, what solution was applied and what results it achieved.
What real need existed and why a conventional approach wasn't enough.
Sources, domain, processes, users and constraints.
Which part of GIC was used and which integrations were built.
Results, public references and verifiable metrics when available.
The assistant can help you filter projects by sector, type of problem or AI capability.
We can share additional references depending on sector, scope and confidentiality.
