High‑quality synthetic datasets engineered for secure analytics, AI and rapid innovation
Consistent. Secure. Completely safe for development, testing and AI.
AIDataSynth™ is a fully synthetic, privacy‑safe data product engineered for organisations that need realistic, high‑quality data without the delays, risks, or restrictions that come with accessing live datasets. Built using structured modelling, consistent distributions, and domain‑driven design, AIDataSynth gives your teams a safe and reliable foundation for analytics, prototyping, integration, and AI development, all without exposing sensitive information.
Why Synthetic Data?
- Zero risk to personal data — no real individuals, no sensitive attributes, no compliance waiting lines.
- Consistent and predictable — structured schemas that teams can trust and build repeatably against.
- Designed for exploration — perfect for PoCs, early prototypes, model training, and test automation.
- Sector‑adaptable — general product now, industry‑specific editions launching through 2026.
AIDataSynth™ lets data engineers, analysts, developers, and AI teams move faster — safely.
Included out of the box
- Schema library covering people, organisations, transactions, events, and telemetry
- Balanced distributions and constraints for realistic analytics outcomes
- Dataset variants for dev/test, model training, and performance benchmarking
- Docs + sample queries for BI, notebooks, and CI test automation
Live Data
- Access delays due to approvals, governance and privacy checks
- Risk of personal data exposure and regulatory obligations
- Instability: upstream changes break prototypes and tests
- Hard to share safely with partners and vendors
Synthetic Data
- Instant access with zero personal data risk
- Predictable schemas and repeatable runs for CI/CD
- Tunable distributions for fair model evaluation
- Safe to share across environments and suppliers
Principle
We don’t lead with AI — we lead with capability and ecosystem strength.
By building robust data foundations and connected environments, we enable insight, automation, and AI to scale naturally.
We prioritise capability and ecosystem strength over hype.
We design for safe exploration—so ideas move without friction.
We build trust with engineered data that behaves like the real world.
We enable teams to move faster—sustainably, and safely.