OntologySim is the enterprise data simulation platform that lets teams model, enrich, and run AI pipelines over structured ontology graphs — no PhD required, no months of setup.
Every organization races to deploy AI — but most hit the same wall: raw data without structure is useless to a language model. You need entities, relationships, semantics. You need an ontology.
Building ontologies from scratch takes months. Testing pipelines against real data means compliance risk. Demonstrating value to stakeholders requires a live, queryable system — not a whiteboard.
OntologySim solves all three. We give you a fully operational ontology simulation environment — pre-modelled with real-world enterprise domains, synthetic data at scale, and AI pipelines ready to run in minutes.
Spin up a fully wired ontology environment with entities, relationships, and pipeline logic — without writing a single line of schema code.
All simulation data is synthetically generated and statistically realistic — so teams can test freely without PII, compliance, or breach exposure.
Share a token link with your stakeholder. They see a live, domain-specific data platform — not slides.
Pipelines feed directly into AI insight and agent layers — so your ontology becomes the thinking backbone of your AI system.
In the AI era, the organizations that win are those whose data has meaning. Ontologies provide the semantic layer that turns raw tables into knowledge graphs — the foundation every LLM, agent, and pipeline needs to reason accurately.
Define real-world objects — Patient, Transaction, Loan — and the typed links between them. An ontology is not a schema. It's a world model.
Foundation LayerPipelines traverse the graph — joining entities, computing derived metrics, and writing enriched objects back to the ontology in real time.
Compute LayerLanguage models and agents don't work well on CSV files. They work well on structured, typed, contextualized knowledge. Your ontology is that context.
Intelligence LayerOntologySim ships with three deep-domain ontology models — each with realistic entities, relationships, pre-built pipelines, and AI agent integrations.
Model a complete clinical data environment — from patient intake to lab anomalies, treatment outcomes to insurance reconciliation. Run risk scoring pipelines and let AI agents surface the patients who need immediate attention.
Simulate a complete transaction graph — merchants, customers, authorizations, chargebacks. Run fraud scoring, AML screening, and velocity anomaly detection. Surface SAR candidates before regulators do.
The most comprehensive mortgage ontology available — 10 object types covering the full loan lifecycle from origination to delinquency resolution, investor reporting, and regulatory compliance.
OntologySim is not just a demo tool. It's a full-stack data platform simulator — built to show real architecture, real pipelines, real AI.
Define, browse, and manage entity types, properties, and relationships in a visual Mermaid graph. Understand how your data objects connect before you build.
30+ pre-built pipelines per domain that join, enrich, and derive computed metrics. Run them on-demand or auto-trigger after data generation.
Generate 1× to 10,000× synthetic records in seconds. Export full domain state as JSON, share with teammates, and reload at any time.
Domain-specific charts — risk distributions, fraud heatmaps, LTV breakdowns, delinquency stages. Powered by Chart.js with live pipeline data.
A drag-and-explore interface to see every pipeline's logic — sources, transforms, outputs — and understand how data flows from raw to enriched.
Browse and read 15+ SQL and Python transform definitions per domain. Use these as blueprints for your real data engineering implementation.
A live case management view — exception queues, entity cards, and action buttons. Demonstrates exactly how a frontline analyst would interact with enriched data.
Import external JSON datasets and validate them against the ontology schema before pipeline processing. Catch schema drift early.
Generate domain-scoped access tokens in seconds. Share a single link with a client or colleague — they see only what you intend them to see.
OntologySim is building toward something bigger: a fully autonomous data simulation environment where AI agents don't just read the ontology — they extend, query, and act on it. The platform is the training ground for your future AI workforce.
Agents receive a semantic snapshot of the ontology graph — entities, relationships, live pipeline state — as structured context.
Agents decide which pipelines to run, in which order, and with what parameters — based on the current state of the data graph.
Agents write new derived objects and relationships directly into the ontology — closing the loop between AI reasoning and structured data.
Specialist agents — Risk, Compliance, Operations — coordinate over the shared ontology, each contributing domain-specific enrichments.
Instructs the simulator to generate, scale, and shape synthetic datasets based on natural language objectives — "simulate a mortgage portfolio stress scenario with 20% delinquency."
In DevelopmentGiven a business question, the agent designs a new pipeline — selecting sources, proposing transforms, and registering the output in the ontology. Human approval keeps oversight intact.
In DevelopmentContinuously monitors pipeline output for statistical anomalies, generates natural language reports, and surfaces prioritized action queues to the operations team.
Planned · Q3 2026Get a domain-scoped access token. Click your link — no signup form, no onboarding sequence. You're in.
Choose your scale factor — 1× for prototyping, 1000× for stress testing. Synthetic data is generated in seconds.
Execute pre-built pipelines that join, enrich, and derive metrics across your ontology objects. Watch the graph come alive.
Use the AI insight engine and agent triage to interrogate your data — ask questions, surface risks, and act on recommendations.
"The organizations that succeed with AI in the next decade won't be the ones with the best models.
They'll be the ones with the best-structured data."
— The OntologySim Founding Principle
OntologySim is available now in early access. Launch the platform, generate your domain, and experience what an AI-ready ontology actually feels like — in minutes, not months.
Need a domain access token? Contact us at support-ontology@etlbyte.io and we'll generate one for you.