Give Your AI a
Shared Language
The domain semantic layer that grounds LLMs, agents, and RAG pipelines in validated, computable business knowledge — so “revenue” always means the same thing.
The Challenge
Same Word. Different Meaning. Wrong Answer.
When every system defines terms differently, AI confidently delivers the wrong answer.
Three systems, three meanings
Gross bookings including pending deals
Net recognized revenue after adjustments
Annualized run-rate from monthly data
"Revenue is $4.2M this quarter." (Using gross bookings — overstated by 28% vs. IFRS-recognized figure.)
One canonical definition, everywhere
Canonical: Net recognized revenue (IFRS 15)
Canonical: Net recognized revenue (IFRS 15)
Canonical: Net recognized revenue (IFRS 15)
"Net recognized revenue is $3.28M this quarter (IFRS 15). Source: canonical term 'revenue' — resolved via SemanticX."
Enterprise AI fails not because models are dumb — but because they lack a shared vocabulary.
SemanticX gives every model, agent, and pipeline the same governed definition for every term.
The Architecture
Three Layers of Domain Intelligence
From canonical terms to computable formulas to mapped data sources — a complete semantic stack.
Define every business term once — with synonyms, abbreviations, relationships, and hierarchy. Fuzzy resolution ensures even informal queries map to the right concept.
Register formulas that reference canonical terms as inputs. Execution is AST-based — no eval(), no injection risk. Every computation is validated, auditable, and reproducible.
Map semantic concepts to actual data sources — PostgreSQL tables, BigQuery, S3. Define entity relationships with cardinality and join keys, then explore the unified knowledge graph.
Agent-Native Design
Built for the Agentic Era
Four MCP tools designed for LLM tool-calling. No wrappers — agents call SemanticX directly.
resolve_termMulti-strategy term lookup: exact → synonym → abbreviation → fuzzy
resolve_term(term, domain?)validate_termCheck if a term exists, get near-match suggestions
validate_term(term, domain?)compute_metricExecute a named formula with validated inputs
compute_metric(formula, inputs)ask_semanticNatural language query across the semantic layer
ask_semantic(question, domain?)What was our gross margin last quarter?
I need to resolve "gross margin" in the FSO domain to get the canonical definition and formula.
resolve_term("gross margin", domain="fso")
{ name: "Gross Margin", formula: "gross_margin_pct", inputs: ["revenue", "cogs"] }
compute_metric("gross_margin_pct", { revenue: 2400000, cogs: 1600000 })
{ result: 33.33, unit: "%", formula: "(revenue - cogs) / revenue × 100" }
Gross margin was 33.3% last quarter, computed as (Revenue − COGS) ÷ Revenue × 100. Source: SemanticX FSO domain.
SemanticX turns agents from confident guessers into validated reasoners.
Every answer is grounded in canonical definitions. Every computation is auditable. Every term is traceable to its source.
Pre-Built Domains
From Financial Services to Power Generation
Pre-built domain ontologies ready to deploy — or create your own from scratch.
Financial Services
Revenue recognition, profitability metrics, and financial statement ontology following IFRS/GAAP standards.
Inventory Management
SKU classification, reorder optimization, warehouse operations, and demand forecasting terminology.
Power Generation
Generation capacity, transmission losses, load balancing, and grid operations across the energy value chain.
Singapore Tax
Corporate tax provisions, GST treatment, transfer pricing, and Singapore-specific tax compliance terminology.
Need a custom domain? Create one from scratch, import from W3C ontologies, or extract directly from PDF documentation.
Bootstrapping
From PDF to Production Domain in Minutes
Upload existing documentation. AI extracts the ontology. You review and deploy.
Upload
Upload domain documentation — PDF up to 50MB
Extract
AI extracts terms, formulas, and entities with confidence scores
Review
Review extracted items, adjust selections, verify accuracy
Deploy
One click creates a fully populated semantic domain
Enterprise Ready
W3C Standards. Full Portability.
Import from existing ontologies, export in any W3C format, and integrate with your data governance stack.
Under the Hood
The Semantic Resolution Engine
From agent query to validated answer — resolved, computed, and audited in milliseconds.
Intent Detection
Term Resolution
AST Execution
Intent Detection
Term Resolution
AST Execution
Ecosystem
The Connective Tissue of DecisionOS
SemanticX enriches KnowledgeX RAG with domain context, gives AgentsX validated semantic tools, and traces every call through MonitoringX for full cost and audit visibility.
Your domain, defined.
Your AI, grounded.
Explore pre-built domains, upload your own documentation, or build from scratch.