Built for organisations that cannot compromise on data sovereignty.

The challenge

Citizen data is held under national law. Any leakage or foreign-jurisdiction processing creates legal exposure, undermines public trust, and may violate procurement rules.

How SynthetIQ fits

SynthetIQ is designed to deploy entirely within government-controlled infrastructure, with no mandatory external API calls. Query across departmental silos, automate routine administrative processes, and surface insights — all within your own environment.

Compliance angle

Designed to support national data-sovereignty requirements, data-protection obligations, and public-sector AI governance frameworks. Audit trail supports transparency and accountability requirements.

The challenge

Regulated financial data cannot leave defined boundaries. Explainability is mandatory. Audit trails must be immutable. Any AI operating on client data must satisfy regulators, not just management.

How SynthetIQ fits

SynthetIQ keeps all model inference and data processing inside your perimeter. Every AI decision carries a source trail. Human approval gates can be placed at any point in any automated workflow.

Compliance angle

Designed to support GDPR data-processing obligations, financial services data-governance requirements, and immutable audit-trail standards. Explainability controls are built in, not bolted on.

The challenge

Patient data is among the most sensitive class of personal data. Cloud AI processing creates data-transfer risk, consent complexity, and potential regulatory breach.

How SynthetIQ fits

SynthetIQ processes patient-adjacent data entirely within your facility or health-system environment. Clinical documentation, referral coordination, and administrative automation — without patient data leaving your walls.

Compliance angle

Designed to support healthcare data-protection obligations and GDPR special-category data requirements. Right-to-erasure workflow support is included in the platform architecture.

The challenge

Connectivity is a risk, not an assumption. Any AI system must operate without internet dependency. Classification levels, compartmentalisation, and physical security requirements make standard cloud AI non-viable.

How SynthetIQ fits

SynthetIQ is air-gapped capable — designed to operate with no internet egress. On-device models run entirely within your controlled environment. No third-party API call is ever required.

Compliance angle

Designed for environments with the highest sovereignty requirements. Supports air-gapped deployment, on-device inference, and hardware-level isolation. Compliance evidence framework aligns with critical-infrastructure security postures.

The challenge

Operational technology (OT) data is sensitive, high-value, and subject to critical-infrastructure protection obligations. Connecting OT environments to cloud AI creates attack surface and regulatory risk.

How SynthetIQ fits

SynthetIQ is designed to sit on the IT/OT boundary — providing AI-powered operational intelligence without requiring OT data to traverse external networks. Asset management, maintenance scheduling, and anomaly alerting within your own environment.

Compliance angle

Designed to support critical-infrastructure protection requirements and operational data sovereignty. Audit trail supports regulatory reporting obligations for energy and utilities operators.

The challenge

Research data, IP, and funding-body obligations often restrict where data can be processed. Commercial cloud AI may conflict with grant conditions, data-sharing agreements, or institutional IP policy.

How SynthetIQ fits

SynthetIQ deploys on institutional infrastructure — keeping research data, pre-publication findings, and sensitive datasets under institutional control. Supports multi-researcher collaboration within defined access boundaries.

Compliance angle

Designed to support research data-management plans, funding-body data-processing obligations, and GDPR requirements for research data. No data leaves the institutional environment without explicit configuration.