Approval cycle time
Reduce end-to-end project approval time by at least 50%.
An AI-driven government platform that digitises and automates the full review and approval lifecycle of security-system projects (CCTV, Access Control, Alarm, HVM) submitted to SIRA across the Emirate of Dubai.
SSSAP is the central digital workspace where licensed security companies submit CCTV, access-control, alarm and HVM project designs to SIRA for review, compliance validation, on-site inspection and final certification — with AI-driven coverage analysis, automated rule checks and a full audit trail.
The platform digitises and automates the lifecycle of security-system project approvals (CCTV / Access / Alarm / HVM) inside the Emirate of Dubai — using AI to reduce review time, raise compliance levels and standardise SIRA decisions across thousands of submissions per year.
Reduce end-to-end project approval time by at least 50%.
Cut rework and rejections caused by avoidable design errors.
Standardise review criteria across all reviewers and inspectors.
Lower the field-inspection workload through digital pre-validation.
Build a single national database of every approved security blueprint.
Platform owner & final approving authority
Primary users — submit project designs
Technical compliance approval
On-site inspection & validation
End clients — landlords, retailers, government
Platform operations & security
From project registration to final certification — one continuous, digital, audited path.
Companies upload existing CAD / PDF / BIM files or draw 2D camera layouts directly inside the platform. Every selected device is constrained to the SIRA-approved hardware list, with mandatory inputs for height, tilt angle, lens and ingress protection.
Every submitted layout is run through an AI-driven rule engine that validates SIRA technical standards before a human reviewer ever sees it. The engine returns a Compliance Score, a structured list of errors and a list of automated recommendations the company can apply directly inside the design studio.
Inputs camera FOV plus floor plan; outputs a live coverage map with un-covered zones highlighted.
Calculates pixels per metre at every point and flags any zone failing the SIRA threshold.
Identifies un-monitored sectors and proposes optimal redistribution of cameras.
Analyses historical project data to estimate the probability of approval or rejection up-front.
Inspectors open the approved design on a tablet, mark every camera physically installed, capture proof photos and the system automatically compares the GPS-tagged installation against the approved coordinates. Notes and deficiencies feed back into the central review file.
Multi-tenant cloud deployment with UAE data residency and on-prem option for sovereign environments.
Independently scalable services for design, review, inspection, AI analysis and certification.
GPU-accelerated AI services for coverage, pixel density, blind-spot and predictive approval.
Native Android and iOS application for field inspectors with offline-first sync.
Engineered for SIRA and the security industry of Dubai — from project registration through to digital certification, with AI-assisted review and a national security archive at its core.