A managed catalogue, a typed ontology, a context graph, conversational analytics and an agent layer. One product. Six weeks. Branded as yours, deployed in your tenant. Built for industries the regulator is asking questions of.
“We have a data lake, three different catalogues and four failed copilot pilots. The agents cannot tell which version of the truth to use.” Chief Data Officer, FTSE 250 insurer
We deploy a complete catalogue layer in your tenant. It crawls every source system, profiles every column, classifies every field, tracks lineage and indexes the lot. Branded as yours, run by us.
CatalogueYour catalogue gets bound to a canonical ontology for your industry. Two to four hundred typed entities and the relationships between them. The semantic layer your AI needs to actually reason.
OntologyMaterialised, queryable, walkable, citable. Every node and edge carries provenance back to source. The graph compounds with every customer interaction.
GraphYour team types questions and gets charts grounded in the graph. Drill from any chart point to the underlying entities and the citation trace. Export to PowerPoint or Excel.
AnalyticsA retrieval API your existing copilots embed. Every answer returned with the reasoning trace, the citations and the audit log. The artefact a regulator will actually accept.
AgentsCatalogue connectors to Veeva Vault, Argus Safety, Master Control. Pre-built submission timeline analytics, signal trend dashboards, regulatory commitment tracking. Aligned to EMA, FDA and MHRA artefacts.
Catalogue connectors to Maximo, AssetWise, EDM telemetry, GIS. PR24 outcome reporting, AMP8 capex tracking, EA spill compliance and Cunliffe-aligned governance evidence served from one foundation.
Golden-thread compliance under the Building Safety Act. Awaab's Law reporting on damp and mould. The accountable-person artefact the regulator is going to ask for.
Catalogue connectors to Guidewire, Duck Creek, ECF. Reserve adequacy, peril concentration and Solvency II ORSA evidence served from one foundation.
We connect to the data you already have. We call the model you already trust. We run in the tenant you already control.
“Why not just deploy Foundry?”
Six weeks not six months. Pre-built vertical packs instead of bespoke design. A tenth of the implementation cost. The whole foundation comes from one engagement, not a multi-year programme.
“We already have a copilot on a vector store.”
Citable answers, not plausible ones. Multi-hop reasoning across typed entities. Every claim traces to a graph path your QA reviewer can audit. The regulator gets evidence, not embeddings.
“A catalogue is just half the answer.”
Catalogues describe data. We make it agent-readable. A catalogue is one of five layers we deliver. The graph, the analytics and the agent layer are why your AI actually works.
A 30-minute call with someone who has done this before. No deck, no demo theatre. Bring your hardest stuck pilot.