AllAiz
Engineering Intelligence Platform

Turn reality into engineering intelligence.

AllAiz captures infrastructure conditions, processes them through engineering-grade AI, and delivers intelligence your teams can act on — immediately.

Reality

Infrastructure changes.
Inspection schedules don't.

Roads degrade under load. Bridges age between surveys. Every day without observation is a day decisions rest on outdated data.

Infrastructure inspection is periodic.
Infrastructure deterioration is continuous.

The Gap

Traditional workflows were built for a slower world.

Without AllAiz
Periodic field inspection
Manual data recording
Spreadsheet consolidation
Weeks of analysis
Decisions on stale data
With AllAiz
Continuous observation
Automated data capture
Real-time processing
Engineering-grade intelligence
Decisions on current reality
Meet AllAiz

An engineering intelligence company — built to close the gap between observation and decision.

We combine advanced sensing, computer vision, and engineering expertise to give infrastructure owners a clear picture of what they own — and what it needs.

Methodology

A repeatable method.
Built on engineering logic.

01
Observe

Capture infrastructure conditions through LiDAR, imaging, and sensing — with precision that manual inspection cannot match.

02
Understand

Process raw data into structured intelligence. Classify defects, measure severity, build a living model of infrastructure state.

03
Decide

Surface clear recommendations — prioritized, evidence-backed, and ready for engineering sign-off. No interpretation required.

04
Improve

Feed outcomes back into the model. Every decision makes the next assessment sharper. Intelligence compounds over time.

Platform

Three intelligence engines. One platform.

Explore Solutions
01
Pavement Intelligence
From road surface to maintenance priority.

AI-assisted condition assessment, distress classification, and network-level prioritization. Validated at scale in the UAE.

02
Spatial Intelligence
Engineering-grade survey data, faster.

Mobile LiDAR capture delivers point cloud density that traditional survey methods cannot match — at a fraction of the time.

03
Digital Intelligence
Infrastructure you can walk through remotely.

Digital twins and virtual site documentation. Stakeholders understand the asset without setting foot on site.

Proof

We do not claim.
We demonstrate.

AllAiz methods were developed through hands-on engineering work and validated through live deployments on real infrastructure. Every result shown here comes from actual field work — not projections.

Every number shown here is a real result from real infrastructure — not a model estimate or a marketing projection.

91.1%

Pavement defect detection accuracy

ICCSTE 2026 — BarcelonaEngineering validation result
21.7×

LiDAR point density vs. conventional survey

Field validation — Sharjah, UAELive pilot result
Team

Built by engineers.
For engineers.

Three co-founders with deep engineering backgrounds, field experience, and a shared mission to make infrastructure intelligence practical and accessible.

Dr. Ahmed Faheem
Dr. Ahmed Faheemد. أحمد فهيم
Chief Engineer · Co-Founder
Eng. Mohamed ElHammamy
Eng. Mohamed ElHammamyم. محمد الحمامي
Operations · Co-Founder
Dr. Mohamad Alhalabi
Dr. Mohamad Alhalabiد. محمد الحلبي
AI & Computer Vision · Co-Founder
Vision

Infrastructure intelligence —
at every scale.

Egypt

Where AllAiz began. Road networks, urban infrastructure, and the research foundations.

Middle East

Active deployments across the Gulf. Infrastructure intelligence for the region's pace of development.

Global Platform

The same engineering method applies anywhere infrastructure is built, maintained, or assessed.

The method does not change with geography. Infrastructure is infrastructure — it degrades, it needs assessment, and it benefits from clarity.

Start the Conversation

Ready to see your infrastructure as it actually is?

We start with a conversation — no obligation, no pressure. Just an honest discussion about your infrastructure and how AllAiz can help.