STEP 01INGESTING
Preserve every source record
ETL and streaming pipelines capture the record, source time, ingestion time, permissions and original payload before transformation.
OUTPUTCanonical event envelope with provenance
Enterprise ontology for financial intelligence
Build the semantic brain behind your financial AI.
We turn fragmented market, portfolio, risk, regulatory and cyber data into governed enterprise meaning—ready for analytics, GraphRAG and intelligent agents.
FIBO-alignedKnowledge graphsFinancial intelligenceNo platform lock-in
Semantic signalContext connected
Ontology coverageEnd-to-end value chain
Ontology is the brain for AI
Models predict. Ontology helps them understand.
We encode business meaning, relationships, constraints, provenance and security policy as a machine-readable context layer. That gives analytics and AI agents a governed model of how your organization actually works.
End-to-end use cases
See enterprise data become
knowledge an AI agent can use.
Follow a representative record from ETL and semantic mapping through curated departmental models, the enterprise knowledge graph, graph-plus-vector fusion and an evidence-grounded LLM answer.
Open the complete AI + ontology experience ↗SYNTHETIC, DETERMINISTIC DEMONSTRATION
Explain a stock or ETF signal
BUSINESS QUESTIONWhy did the ETF signal change, and which portfolio is affected?
AI
ONTOLOGY-GROUNDED AGENTWaiting for governed context
The agent will answer only after identity, relationships, rules, provenance and permissions have been assembled.
IdentityRelationshipsRulesLineage
The LLM generates language; the enterprise graph supplies authorized facts and evidence.The missing layer
Your data platform moves data.
We make it mean something.
Financial data is distributed across feeds, warehouses, documents, platforms and teams. The same instrument, issuer, event or risk can be represented differently in every system.
We build the semantic layer that aligns those definitions, relationships, rules and lineage—giving people and machines a shared understanding of your business.
See how we build it →Fragmented meaning
Conflicting terms and identifiers slow integration, reporting and analysis.
AI without context
Models can access data but cannot reliably understand business semantics.
Untraceable decisions
Signals and outputs lack visible lineage, evidence and reasoning paths.
Governance after the fact
Policies and controls remain disconnected from operational data flows.
What we deliver
From enterprise meaning
to market intelligence.
Strategy, modeling, engineering and activation—delivered as one connected transformation.
Enterprise Ontology
We model your organization’s concepts, relationships, rules and constraints into a governed semantic blueprint.
- Domain and upper ontology design
- Taxonomy and business glossary
- OWL, SHACL and semantic rules
- FIBO and industry alignment
Knowledge Graphs
Connect data across systems into a queryable, explainable graph of business facts and relationships.
- Entity resolution and linking
- RDF and property graph engineering
- Graph analytics and reasoning
- Provenance and lineage
AI-Ready Data Platform
Embed semantics into ingestion, quality, metadata, APIs and data products so AI receives governed context.
- Semantic integration layer
- Metadata and mapping automation
- Graph and vector architecture
- Reusable semantic data products
Financial Market Intelligence
Unify price, fundamentals, news, events and alternative data to create contextual signals for stocks and ETFs.
- Real-time market data pipelines
- Event and sentiment intelligence
- Signal and feature ontology
- Portfolio and risk context
GraphRAG & AI Agents
Ground assistants and agents in trusted enterprise knowledge, policies and evidence paths.
- Ontology-aware retrieval
- Knowledge graph grounding
- Agent tools and semantic APIs
- Explainable responses
Semantic Governance
Operationalize ownership, validation, versioning and controls across the semantic lifecycle.
- Ontology operating model
- Data and model governance
- Quality rules and validation
- Auditability and compliance
Research & technological advancement
We do not only implement.
We advance the knowledge layer.
The SDS Research Desk turns standards, architecture experiments and financial-domain questions into technical papers and reusable engineering patterns.
SDS RESEARCH PROGRAM
Applied ontology research for the next financial data and AI platform.
Explore temporal market graphs, ontology-grounded GraphRAG, cyber-financial reasoning and executable semantic governance.
Enter the research hub →AIOntologyMarketRiskEvidence
TECHNICAL PAPEROntology as the Semantic Brain for Financial AI
A governed context architecture for predictive models, GraphRAG and enterprise agents.
Read paper → STANDARDS WATCHSHACL 1.2 and Executable Semantic Rules
What emerging data-shape standards could mean for policy-aware AI systems.
Read advancement →Built for financial services
Understand the market as a connected system.
Price movement is not one number. It is the result of instruments, issuers, events, liquidity, sentiment, portfolios, macro conditions and risk interacting over time.
Our ontology-driven architecture gives every signal business meaning and every prediction a path back to evidence.
01Market & reference data
02News, filings & events
03Signal & feature intelligence
04Portfolio & exposure context
05Risk & compliance reasoning
06Explainable AI predictions
Ontology-aware market viewConnected Intelligence
LIVE CONTEXTSDS Market GraphKnowledge → Signal → Decision
InputsMulti-source
ContextTemporal graph
OutputExplainable signal
Ontology at the heart
A semantic backbone across
the entire data value chain.
Ontology is not a side repository. It actively maps, validates, connects and explains data at every layer.
01Sources
Market feedsDocumentsNews & eventsEnterprise systemsAlternative data
Ontology-driven mapping & context
02Intelligence
Entity resolutionNLP extractionEvent detectionQuality & lineageSemantic signals
Enterprise financial ontology + knowledge graph
03Activation
Data productsGraph APIsAnalyticsAI agentsDecision intelligence
See the complete enterprise architecture
Explore how ontology connects real-time ingestion, the financial value chain, data platforms, APIs and AI.
How we work
From fragmented data to
trusted intelligence.
A practical delivery path that creates value early and scales with your enterprise.
Discover
Understand the business
Map priority decisions, data domains, systems, terminology, regulatory needs and AI use cases.
Model
Build shared meaning
Design the enterprise and domain ontologies, taxonomies, rules, constraints and standards mappings.
Connect
Create the knowledge layer
Resolve entities, map data, construct the graph, add provenance and expose semantic services.
Activate
Power analytics and AI
Launch data products, GraphRAG, agents, market intelligence and explainable decision applications.
Govern
Scale with confidence
Operationalize validation, stewardship, versioning, observability and continuous ontology evolution.
Financial intelligence needs cyber context
Connect business risk to digital threat.
A financial ontology knows which instruments, portfolios, data products and decisions matter. A cybersecurity ontology knows which systems, identities, vulnerabilities, attacks and controls put them at risk. Connected together, they create a defensible view from threat to business impact.
STIX 2.1MITRE ATT&CKMITRE D3FENDNIST CSFFIBO
Explore cyber-financial ontology ↗Senior-led ontology engineering
We take responsibility for the organizational shift.
Every engagement is led by practitioners with deep semantic-technology experience. We work with business leaders, data teams, architects, risk professionals and AI engineers—then transfer the methods so your organization can govern and extend the knowledge layer independently.
Meet the SDS approach ↗Deep domain modeling
Financial instruments, events, contracts, portfolios, controls and enterprise operations.
Production engineering
RDF/OWL, SHACL, graph platforms, semantic APIs, event streaming and AI integration.
Governance by design
Stewardship, change control, validation, lineage, model risk and regulatory traceability.
Enablement, not dependency
Workshops, documented methods and apprenticeship-based knowledge transfer for lasting ownership.
Business outcomes
Move from data-rich
to meaning-rich.
Give every team and every AI system the context needed to act with speed, consistency and trust.
Build your semantic foundation ↗Fasterintegration and signal discovery
Bettermarket and portfolio decisions
TrustedAI grounded in enterprise meaning
Explainableinsights with lineage and evidence
Governeddata, models and business rules
Start a conversation
Is your data ready
for the AI journey?
Tell us where your organization is today. We’ll help identify the ontology, knowledge graph and AI-ready data capabilities that create the strongest foundation for your next platform.
✉
Email usinfo@semanticdataservices.com