Deployment discovery
A short opening phase that maps your data flows, workflows, systems and constraints — ending in a scoped deployment plan with agreed success measures and defined milestones.
What We Do
Deployed with you. Not handed over.
Forward deployed engineering is our core: our engineers work inside your entity and stay accountable until the system runs in production. Around it sit the platforms they deploy from and the advisory and skills programs that build your own capability.
Forward Deployed Engineering
Our engineers inside your entity, accountable for the system in production.
Our core offering. Most AI programs do not fail at the model — they fail after the demo, when the model meets undocumented workflows, data nobody fully trusts, and systems that were never designed for it. Forward deployed engineering closes that gap: a small AIOPS pod works inside your environment, on your data, behind your security perimeter, and stays accountable until the system is live, adopted and running. The frontier labs staff forward deployed engineers for their largest global accounts. We do it for GCC government and public-sector entities — and we do it vendor-independent.
Embedded delivery pods
A small squad — forward deployed lead, AI engineer, data engineer, domain analyst — working in your channels, your environment and your security perimeter, not from a distance.
Vendor-independent by construction
Frontier, sovereign-hosted or regional models behind one interface, swappable without rewriting your systems. No reseller margin, no vendor quota, no lock-in — the code, prompts, evaluations and keys are yours.
Production accountability
We are measured on the system being live, used and reliable. The pod stays through stabilization, when probabilistic systems drift quietly, until your team can run it alone.
Every engagement opens with a discovery phase that scopes the deployment and agrees its success measures, then runs milestone by milestone against them. The engagement ends when the system is in production and your team can run it — not at handover of a document.
Strategic AI Solutions
Custom AI platforms, engineered for your environment.
What our pods deploy. We design and build AI systems for government, public sector and enterprise — deployed on-premise or in sovereign cloud, and integrated with the systems you already run. Our platform portfolio is the accelerator library our forward deployed teams start from, so a deployment begins from a working system rather than an empty repository. Basir, which puts agentic AI in front of Oracle E-Business Suite, is the standing proof that we build for real, legacy-heavy environments.
Discovery & solution design
We map the operational problem, the data landscape and the constraints before proposing an architecture.
Agentic platform engineering
Purpose-built AI agents and platforms over your existing systems — ERP, document flows, service delivery and operations.
Sovereign deployment
On-premise and sovereign-cloud delivery. Nothing phones home; you own the stack, the models and the keys.
Operate & transfer
We run what we build for as long as you need — and hand it over with documentation, training and support.
Fixed-scope builds or build-operate-transfer arrangements. Every solution ships with the governance, audit and access controls public-sector work demands.
Sovereign AI Advisory & Capability Building
Build your own AI capability — not a dependency.
Where most entities start. We help government and public-sector entities across the GCC understand where they stand, decide where to go, and build the internal skills to get there. For many, this is the on-ramp to a forward deployed engagement: the assessment names the problem worth deploying against. Every engagement is designed around sovereignty — your data, your infrastructure, your people.
AI readiness & maturity assessment
A structured evaluation of your data, infrastructure, governance and talent — ending in a clear, prioritized roadmap.
Sovereign AI strategy & governance
National- and entity-level AI strategy built on data residency, operational independence and regulatory alignment.
AI skills programs
Structured, hands-on programs that train your teams — from practitioners to senior leadership — on real systems, not slideware.
Executive enablement
Focused sessions that give decision-makers the working knowledge to direct, procure and govern AI with confidence.
Typical engagements run from a four-week readiness assessment to multi-year capability programs. Success is measured by the capability that stays with your teams.
Not sure where to start?
A working conversation with people who have delivered in your world.