Resolve durable business entities
Separate issuer, security, listing, account, order, execution and observation while linking the identifiers used by each source.
Financial knowledge graph consulting
Connect financial facts without losing identity, time or evidence.
SDS designs governed knowledge graphs that connect instruments, issuers, events, portfolios, trades, risks, obligations and model evidence across operational and analytical platforms.
Implementation architecture
A graph is useful when its meaning is governed.
Represent change through time
Preserve event, effective, observation and ingestion time so point-in-time analysis remains defensible.
Execute business expectations
Use SHACL and controlled rules to identify missing identity, invalid values, inconsistent relationships and exceptions.
Trace every connected fact
Attach source, transformation, mapping, model and approval evidence to the graph path.
Expose semantic services
Serve governed context through SPARQL, GraphQL/REST, data products, retrieval tools and event-driven integrations.
Govern releases and change
Manage ownership, dependencies, mappings, impact, versioning, quality gates and backward compatibility.
Common activation patterns
One knowledge layer, many decisions.
Market and event intelligence
Connect price observations, disclosures and news events to instruments, issuers, features and predictions.
Portfolio and model risk
Trace holdings and exposures to source facts, models, limits, explanations and accountable approvals.
GraphRAG and agents
Translate questions into controlled entity and relationship traversals with authorization and citations.
Six-week foundation pilot
Prove one graph with reviewable evidence.
Bound scope to a financial domain, representative sources and a real competency-question set.