Connect the sources
Bring together information from existing systems, documents and records through controlled integrations.
Knowledge, evidence, controls and context, working together inside your institutional boundary.
Complexity, connected.
Decisions, grounded.
Purposeful AI, grounded in the systems, rules and knowledge that define your institution.
Bring together information from existing systems, documents and records through controlled integrations.
Combine knowledge graphs and retrieval to connect domain concepts, requirements and case context.
Use configured rules and deterministic orchestration to support consistent, governed workflows.
Use language models selectively to interpret questions and explain findings with supporting evidence.
Designed for on-premises and private environments. Deployment boundaries and source access are agreed with the institution.
An intelligence layer connected to existing operational platforms, so domain insight can complement established systems.
Knowledge graphs, retrieval and deterministic orchestration reduce dependence on language models for every task.
Our approach is to work as an intelligence layer alongside established systems. Integration scope depends on the product, source availability and institutional requirements.
The authorised professional. AI supports interpretation, evidence review and explanation; it does not inherit institutional decision authority.
The fabric is designed to connect an assessment to its supporting source information and configured controls, helping reviewers inspect its basis and identify gaps.
Gronomix is designed for private deployment, including on-premises environments. Data boundaries, model hosting and integration access are defined for each deployment.
The Clinical Decision Engine is in development. Clinical validation, safety evaluation and applicable approvals are required before use in clinical care.