Sovereign AI for the engine rooms of the Gulf economy.
Seismic archives and OT telemetry are national economic security, not training data for someone else's model. Iftah runs AI directly inside the upstream, midstream, and refining environments that power the GCC — turning that data into intelligence without it ever leaving national borders or the operator's control. SCADA, ICS, and historian data stay inside the plant boundary.
Built for critical energy infrastructure
- AI inside segmented & air-gapped OT
- Residency under SDAIA, NCSA, SIA
- Subsurface & field-development IP stays private
- Bare-metal for real-time, offshore-grade latency
Designed for the regimes that govern critical infrastructure.
Iftah does not certify compliance — that stays the operator's obligation. In-country deployment, OT segmentation, and a model-level audit trail give your assessors concrete evidence.
NCA OTCC-1:2022
Operational Technology Cybersecurity Controls for ICS/SCADA/OT across the critical-infrastructure ecosystem.
NCA ECC-1 / CSCC
Essential and Critical-Systems controls for access, logging, and segmentation.
Saudi PDPL
In-Kingdom processing with classification and transfer controls.
SIA / NESA IAR
Information Assurance Regulation for Critical Information Infrastructure operators.
Qatar Law 13/2016 + NCSS
Personal-data protection and the National Cyber Security Strategy, enforced by the NCSA.
IEC 62443 alignment
OT security baselines referenced across GCC critical-infrastructure programs.
Energy-sector AI objections, resolved by design.
National-security data leaves
SaaS AI ingests seismic surveys, well logs, and reservoir models into foreign-controlled tenants — data classed as national economic security.
Every model and workload is pinned to its required jurisdiction; residency under SDAIA, the NCSA, and the SIA is enforced by the platform.
OT can't reach the cloud
SCADA, ICS, and historians can't be routed to external endpoints without violating NCA OTCC and air-gap requirements.
AI runs inside segmented and air-gapped OT on the operator's own bare metal — data stays within the plant boundary.
Subsurface IP becomes training fuel
Proprietary interpretations and field-development IP feed shared frontier models, eroding decades of advantage.
Training and fine-tuning stay private to the operator; nothing feeds a shared external model.
Latency breaks real-time control
Offshore and remote sites suffer round-trip latency to distant regions, making closed-loop optimization unreliable.
Bare-metal inference at the edge delivers deterministic, low-latency decisions that survive connectivity loss.
No governance evidence
Opaque SaaS gives no model-level audit trail for NCA, SIA, or NCSA assessments.
Immutable, model-level audit trails evidence AI governance during critical-infrastructure reviews.
From sovereign region to air-gapped plant floor.
Match each workload to its environment — and govern all of it from one plane.
In-country sovereign region
Enterprise copilots and analytics in the operator's required jurisdiction.
Multi-cloud per asset
Assets spanning Saudi, UAE, and Qatar governed as one fleet, residency per jurisdiction.
Bare metal in the plant
Inference on the operator's own GPUs at refineries, terminals, and platforms.
Air-gapped OT
Fully isolated SCADA/ICS environments with no external data path.
Operational intelligence that stays in-country.
- Predictive maintenance
Live OT and historian telemetry on rotating equipment, compressors, and wells to cut downtime.
- Reservoir & production optimization
AI over seismic surveys, well logs, and dynamic reservoir models.
- Process integrity monitoring
Real-time anomaly detection across SCADA and ICS at refineries and platforms.
- Engineering knowledge copilots
Retrieval over decades of drilling reports, P&IDs, HSE records, and standards — fully in-country.
- HSE & emissions monitoring
Methane and emissions monitoring to support net-zero and energy-transition commitments.
- Expertise capture
Decision support that preserves the knowledge of a retiring senior workforce.
Next step