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Case Studies

Enterprise AI in real operations

Selected engagements across energy, transport, and construction — structured pilots with measurable operational outcomes.

Proven work

From pilot to operational impact

Each engagement starts with a scoped use case and a clear path to enterprise rollout.

Condor Energies site visit — field team walking the yard

Oil & Gas

Condor Energies

Condor Energies operations walkthrough with safety gear on site
Condor Energies field inspection across the gravel operations area
Condor Energies yard — pipe stacks, modular site buildings and staging

On site

Field engagement with Condor Energies

Site visits across the yard — operations walkthroughs, safety-led inspections, and staging areas where computer vision and loading controls meet real work.

Computer-vision warehouse analytics & fuel loading control

Problem
Limited visibility across warehouse CCTV and loading operations.
Approach
Video analytics on existing cameras plus digital fuel and condensate loading control.
Result
Faster exception detection with governed ops workflows.
  • CCTV video analytics
  • Loading & unloading controls
  • Operational exception routing
Discuss this use case

Railways

ADY Railways

Track & OHE corridor monitoring

Problem
Manual corridor inspection cycles and late anomaly detection.
Approach
Continuous railway monitoring for track and overhead equipment signals.
Result
Safer, faster corridor intelligence for operations teams.
  • Track & OHE anomaly detection
  • Continuous corridor intelligence
  • Ops-ready alerting
Discuss this use case

Metro & Rail

Metro Baku

Executive analytics platform (POC pilot)

Problem
Fragmented operational and reliability views for leadership.
Approach
Unified executive analytics platform across metro operations signals.
Result
One governed view for decision-makers.
  • Unified ops dashboards
  • Reliability trends
  • Leadership-ready reporting
Discuss this use case

Construction

ADICC

Unified AI construction platform (POC pilot)

Problem
Projects, vendors, and site signals lived in disconnected tools.
Approach
Unified AI construction platform for planning, monitoring, and delivery workflows.
Result
Clearer project visibility with AI-assisted coordination.
  • Project visibility
  • Vendor and site signal fusion
  • Delivery workflow support
Discuss this use case

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