Trust Center
Sovereign, compliant, and audit-ready AI—built for Saudi Arabia’s national priorities.
Controls you can validate
Built to stand up to security reviews and audits—without slowing down delivery.
Data residency & segregation
Environment separation, controlled data movement, and residency-aware architecture.
Identity & access control
Least-privilege access, role-based controls, and integration with enterprise IAM.
Logging & audit trails
Traceability for prompts, sources, outputs, and user actions to support audit needs.
Evaluation & quality gates
Grounding checks, relevance scoring, regression testing, and release readiness gates.
Incident response readiness
Runbooks, monitoring, escalation paths, and continuous improvement loops.
Policy & governance
Human-in-the-loop workflows, approvals, and policy controls for sensitive use cases.
Artifacts available
We can share deeper materials as part of a formal engagement (and under NDA where required).
Trust brief
Security posture and sovereign deployment patterns.
Reference architecture
RAG, integrations, observability, and controls map.
Governance starter kit
Roles, cadence, checklists, and evidence artifacts.
Sovereign deployment options
Choose the operating model that fits your data and assurance requirements—without compromising velocity or outcomes.
- Sovereign cloud, on‑prem, or hybrid deployment patterns
- Data residency controls and environment segregation
- Identity, access control, logging, and monitoring by design
Privacy and security alignment
We align delivery to Saudi regulatory expectations using practical controls and engineering patterns that stand up to audit.
- PDPL-aligned data handling patterns (minimization, purpose, access)
- NCA-aligned security posture (hardening, segmentation, monitoring)
- Evidence artifacts for governance, risk, and compliance teams
Responsible AI
We build systems that are explainable, measurable, and safe to operate at national scale.
- Model evaluation and quality checks (relevance, hallucination, grounding)
- Guardrails and policy controls (content filters, approvals, escalation)
- Human-in-the-loop workflows for sensitive decisions
Operational readiness
Production AI requires operations. We design for reliability and continuous improvement.
- Observability: telemetry, audits, and feedback loops
- Change management and release governance
- Incident response runbooks and SLA-ready operations
Ready to see it in action?
We’ll tailor a demo to your sector and maturity level, and share a decision kit with architecture, governance, and delivery plan highlights.