GWI conducts high-impact applied AI research and develops domain-specific AI platforms: retrieval workflows, multi-agent frameworks and vector database systems.
Clinical question answering and diagnosis support that still works where bandwidth, hardware and language resources are scarce.
A RAG and multi-agent system that pairs localized, quantized LLMs with ReAct reasoning agents and dedicated Doctor Agents. It supports medical QA, clinical diagnosis support and contextual retrieval in resource-constrained settings and low-resource language environments.
Turning national legal corpora into structured, citable knowledge that compliance teams can retrieve from.
Pipelines that parse national law datasets into structured, versioned knowledge, so that a retrieved passage can be traced back to the article and instrument it came from.
Embedding stores tuned for legal terminology and citation structure, used as the retrieval layer behind compliance and legal research assistants.
Private GenAI ecosystems for research, academic search, business insight and property technology.
A private AI search tool and GenAI ecosystem tailored to research, academic search and business insight, including domain-specific deployments for real estate and PropTech.
Applied research where retrieval quality and auditability matter as much as model capability.
Ongoing research and platform work in education, finance, investment and insurance, following the same pattern as the legal and healthcare programmes: a curated knowledge base, a retrieval workflow and an agent layer on top.
GWI takes on applied research collaborations and hosts student cohorts each year.