- Solutions
Solving Qatar’s Infrastructure Challenges
Turning distributed data into strategic national assets.
- Telecom
Predictive Maintenance at the Edge
The Challenge
Base Transceiver Stations (BTS) generate massive log data that is too heavy to centralize.
The AMANA.AI Solution
Models train locally on the tower gear to detect hardware degradation before failure occurs.
Qatari Impact
Maximum network uptime for 5G infrastructure with zero data transfer costs.
- Energy & LNG
Asset Health & RUL Prediction
The Challenge
Offshore rigs and LNG trains generate high-frequency vibration data that is too sensitive and voluminous to stream to the cloud.
The AMANA.AI Solution
Federated models run directly on turbine control systems to calculate Remaining Useful Life (RUL) locally.
Qatari Impact
Reducing unplanned downtime in the North Field expansion while ensuring 100% data sovereignty.
- Smart Cities
Privacy-Preserving Urban Flow
The Challenge
Managing crowd safety and traffic during major events requires real-time data, but tracking individuals violates privacy standards
The AMANA.AI Solution
Analyze flow patterns and density at the Edge (camera/ sensor level). Only anonymous insights are shared centrally.
Qatari Impact
Supporting Tasmu Smart Qatar goals with zero PII exposure.
- Model-Data Diagram
AMANA.AI