Media Release | Sovereign AIaaS Series
Sovereign AIaaS Architecture, End-to-End
Four-part narrative on how Data Equity delivers a sovereign, locally deployable AI platform: tiered foundation models, governed APIs, domain-ready deployments, and the full vision that keeps data resident while serving global users.
3-tier model stack
Edge (2B), workhorse (7B), and premium (40B) models balanced for latency, cost, and reasoning depth with hot-swappable LoRA adapters.
Governed API fabric
RBAC/ABAC policy engine, DLP and redaction, immutable audit trail, and safety guardrails built into orchestration and external APIs.
Deployment-ready
Seven domain applications, Kubernetes-native isolation, GPU-optimized pools, and connectors into SIEM, ServiceNow, SCADA, and DMS systems.
Core LLM & AI Platform
Multi-tier foundation model strategy for sovereign deployments.
- Lightweight edge models (<100ms) for notifications and on-device intelligence.
- 7B workhorse models covering 80% of enterprise use cases with optimal cost.
- 40B premium models for complex legal and analytical reasoning.
- LoRA adapters deliver domain isolation, hot-swappable specialisations, and versioned fine-tuning without base model pollution.
API Gateway & Service Layer
Security-first API surface with compliance baked in.
- External APIs for chat completions and RAG retrieval with multi-tenancy.
- Orchestration engine for smart routing, tool chaining, and workflow management.
- Response and embedding caching for performance and predictable latency.
- Policy engine, DLP/redaction, immutable audit trails, and human-in-the-loop guardrails.
Domain Integration & Deployment
Production-grade, multi-domain Kubernetes footprint.
- Seven production-ready applications across healthcare, public sector, SOC, smart cities, education, energy, and contracts/risk.
- Native connectors into SIEM, ServiceNow, SCADA, and DMS; AD and SharePoint integration.
- Multi-namespace isolation, GPU node pools, signed images, NetworkPolicies, and mTLS.
The Complete Sovereign AIaaS Vision
End-to-end platform that keeps data resident while scaling globally.
- Intelligent model selection balances latency, quality, and cost per request.
- Seamless flow from API through orchestration, inference, retrieval, and governance.
- True multi-tenancy with shared efficiency and strict isolation for regulated domains.
- Security-first design: encrypted model weights, authenticated APIs, and sovereign data control.
Why it matters
- Data sovereignty: all sensitive data and model weights remain in-country.
- Security-first: DLP, zero-trust APIs, immutable audit trails, and human-in-the-loop guardrails.
- Performance: sub-100ms edge responses and GPU-optimised inference for premium workloads.
- Compliance-ready: GDPR, healthcare privacy, and sector-specific mandates baked into the stack.
Continue the conversation
Explore how Sovereign AIaaS can be adapted to your regulated workloads, from identity-sensitive deployments to high-volume analytics.
