Localization posture
GAMI-aligned
Mission-grade AI, classified data fabrics, and C4ISR-adjacent platforms aligned to GAMI's localization mandate. We build for MoD, MoI, GIA, and the kingdom's primes — engineered to operate inside accredited environments, with no foreign-cloud dependency.
Six pressures we hear from programme directors, command-and-control leads, and prime contractors.
The General Authority for Military Industries is reshaping defence procurement around localized content. AI, software, and data platforms must be built in-Kingdom by Saudi nationals, with the IP retained inside the Kingdom — not licensed in.
Operational, intelligence, and signals data cannot traverse foreign cloud. The fabric has to run on accredited infrastructure, with cryptographic separation between classifications and a clear chain of custody.
Command, control, communications, computers, intelligence, surveillance, reconnaissance — the integration surface is enormous, the vendor mix is mostly foreign, and the data formats predate the AI era.
Radar, EO/IR, SIGINT, and OSINT streams arrive in different formats, on different clocks, with different reliability profiles. Operators need a fused common operating picture, not six dashboards.
Models, pipelines, and tooling must be deployable into air-gapped enclaves. That rules out anything dependent on a public model API or a SaaS console — the entire stack has to run offline.
The work happens inside cleared facilities, with cleared people. Staffing this is not a procurement problem — it is a multi-year talent investment, and most foreign vendors cannot do it.
Six disciplines, sector-tuned for accredited environments and the GAMI localization mandate.
In-Kingdom data lakes with cryptographic separation by classification, NDMO-aligned governance, and a chain-of-custody audit trail per record.
Operator-side agents for intelligence triage, mission planning, and after-action analysis. Audit-grade, deterministic, and run inside accredited enclaves.
Object detection and change-detection over satellite, drone, and ground-sensor imagery. Edge deployable, with operator-in-the-loop sign-off.
Sovereign landing zones for classified workloads. Air-gap-capable reference architectures, with no public-cloud control-plane dependency.
Red-team, threat-hunt, and SOC capability tuned for nation-state adversaries. NCA ECC and CCC controls plus classified-domain hardening.
AI-side integration with existing C4ISR stacks — sensor fusion, common operating picture, and decision-support overlays for command teams.
Two engagements that anchor our defence practice. Names redacted under MNDA — the programme directors know the work.
A fused common operating picture combining radar, EO/IR, and ground-sensor feeds across a multi-hundred-kilometre frontier. Operators see one map, one timeline, one priority queue — the model triages, the human commits. Air-gapped, with model updates delivered through accredited channels.
An Arabic-first OSINT triage platform that ingests open-source feeds, applies entity resolution against the analyst's brief, and surfaces a ranked queue of items for review. The Arabic understanding is the differentiator — generic foreign tooling missed the dialect, the script normalization, and the cultural context.
Authorities, primes, and integrators we partner with at the programme level.
Yes. Our delivery posture is designed around accredited, air-gappable enclaves with cleared Saudi engineers. We do not assume internet connectivity, foreign-cloud control planes, or external model APIs.
The IP we build for defence customers is generated in-Kingdom, by Saudi nationals, and retained in-Kingdom. We do not white-label foreign products and we do not license away the source.
We are AI-side integrators, not platform incumbents. We sit alongside the prime's C4ISR stack and add fusion, decision support, and triage layers — we do not displace the radar, the comms, or the command system.
Cryptographic separation by classification, no shared keys across domains, and chain-of-custody auditing per record. Where required, we operate inside the customer's accredited boundary and never see data outside it.
Yes — for EO/IR, geospatial, and sensor-fusion workloads, edge deployment is the default. Cloud-side training, on-platform inference, with model updates delivered through accredited channels.
We track ITAR, EAR, and EU dual-use posture on every dependency we ship. Where a component is export-controlled, we substitute or build native — that's the entire point of the localization mandate.
Sixty-minute working session with our Defence lead, inside your accredited environment if required. Bring the programme constraint — localization, classification, sensor fusion — and we'll come back with a sovereign delivery path.