We co-build it with you. We see success with you.
Forward Deployed Engineering is how the MOZN AI Platform gets into production inside your organization. Our experts embed within your teams, co-develop the solutions for your challenges, and co-deliver a sovereign capability that gives you a great return on your AI investment.
You bring your organizational know-how. We bring AI and data expertise. Together we reach successful AI transformation.
We follow the Forward Deployed Engineering model
AI transformation needs two things that almost never sit in the same room: the technology and the expertise around it, as well as the deep knowledge of how your organization works. Forward Deployed Engineering puts both on the same team, to ideate, debate, build, test, and deliver AI that is reusable, AI that is adopted by your teams organically, and AI that delivers positive ROI.
MOZN AI Platform
An enterprise intelligence platform that connects your data and knowledge, understands your organizational context, reasons across it, and enables AI to act.
MOZN FDE Experts
Multi-disciplinary experts: AI engineers, data scientists, governance specialists, strategists and change managers, embedded in your organization.
Your organizational experts
Deep internal know-how of the needs, constraints, nuances and workflows that no vendor can fully understand from the outside.
Successful AI transformation
Governed, sovereign, owned by you, and returning positive ROI on your AI investment.
A team that is built around your use cases.
Every engagement gets a multi-disciplinary pod, shaped by your mission priorities and your sovereignty requirements. Senior practitioners with experience in comparable engagements, working natively in Arabic and English, sitting inside your organization.
AI Governance Specialists
Responsible AI controls, model risk and the framework your audit committee can sign.
Applied AI Leads
Turn a prioritized use case into a working system on your own data.
GenAI Specialists
Language models, retrieval and reasoning, tuned to your domain and your Arabic.
AI Application Engineers
Build the interfaces and services your people use every day.
Sovereign AI Platform Leads
Own the platform deployment inside your estate or preferred cloud model.
Senior Data Scientists
Modeling, evaluation and an honest read on what your data can support.
MLOps / LLMOps Engineers
Pipelines, versioning, monitoring and lifecycle control in production.
DevOps Engineers
Build, release and automation inside your own environment and controls.
Kubernetes Infrastructure Engineers
The runtime underneath, scaled and secured to your standards.
Site Reliability Engineers
Uptime, performance and the operational discipline production demands.
Capability Transfer Specialists
Training, playbooks and enablement, so your team can run it without us.
And more, as the work calls for it
Program management, business analysis, change management and transformation advisory join the pod when your use cases need them.
The MOZN AI Platform.
All relevant building blocks your use cases need will be brought to your teams. The pod assembles them inside your environment, connects them to your systems, and configures them around the way your organization really works. Here is a selection of the capabilities of the Platform:
Data and knowledge foundation
Securely connects and structures your documents, databases and systems into one governed layer.
Ontology and knowledge graph
Captures the entities, relationships and meaning behind your information, so AI reasons across silos.
Arabic-first language intelligence
Native Arabic, including scanned, dialectal and decades-old material. No translation losses.
Search and conversational analytics
Your teams ask questions in plain Arabic or English and get explainable answers with citations.
Entity resolution
One trusted view of a person, an organization or a case across systems that never agreed.
Forecasting and predictive models
See demand, risk and failure early enough to do something about it.
Signal and anomaly detection
Surface what deserves attention without anyone having to know the right question to ask.
AI agents and agentic workflows
Multi-step, policy-aware work across your enterprise stack, with a human checkpoint where it counts.
Enterprise integration
The platform meets your incumbent systems rather than displacing them.
Every block runs on infrastructure you prefer.
MOZN is not an infrastructure or compute provider. The Platform and the governance layer run on top of whatever infrastructure you bring. That choice stays yours.
To keep you in control.
High-assurance institutions are responsible for where their data sits, who accesses it, and why a model decided what it did. Most delivery models leave that to the end. MOZN's Forward Deployed Engineering approach settles it in week one, because control is far harder to retrofit than to design from the foundations.
The questions every high-assurance buyer asks:
Who controls the intelligence?
Where does the data go?
Who owns the institutional context?
Can we keep operating it on our own terms?
How we address your sovereignty questions:
Govern data and models from day one
Lineage, versioning and a single trusted record, in place before the build starts. Not a cleanup exercise in year two.
Controls in the design, not around it
Audit trails, access by role, and a human checkpoint where it counts, written into the system rather than wrapped around it afterward.
Compliance built into the build
SDAIA and DGA frameworks, plus NDMO, PDPL and NDI. Internationally, ISO 42001 and the NIST AI RMF.
An AI center of excellence with real authority
One place inside your organization that oversees every AI initiative, established with your people and led by them.
Capability transfer as a deliverable
Training programs, operating playbooks and AI operations enablement. A thorough program to ensure your teams use the Platform to its maximum potential.
Nothing leaves your environment.
The platform deploys into local infrastructure, private cloud or fully air-gapped environments, with Responsible AI controls and Arabic-first intelligence built in. Your data, your models and your governance stay inside your estate and inside your borders.
Control compounds when the foundations are reusable.
Staying in control is not only about where the AI runs. It is about whether you can change it, explain it and extend it after we are gone. So the pod co-builds a governed, reusable foundation with your team, and every part of it is documented, versioned and yours.
Tool registry
A shared, governed catalog that every agent calls.
Models
Documented and versioned, so the next use case starts from something that already works.
Agent harness
Routes work, restricts what agents can touch, retries on failure.
Guardrails
Consistent do's and don'ts, checked at every step.
Evaluation harness
A standing test suite that every new agent inherits.
Context management
Packaged institutional expertise that loads when it is needed, instead of being re-explained.
You stay in control.
The models, the data, the workflows and the governance are yours. So is the understanding of how all four work, because your team was involved in building them.
AI only returns value if people use it.
A model can clear every technical benchmark and still return nothing, because the people it was built for quietly went back to the spreadsheet or the manual ways. Adoption is not a training session at the end. It is a product of how the thing was built, and of who helped build it.
Ensuring Adoption.
The knowledge that makes AI usable is tacit. It never comes out in an interview. It comes out on day forty, when someone says “oh, we never do it that way in the peak season.”
That is why our engineers sit next to your people, observing them, brainstorming with them, testing models with them, instead of time-bound interviews that fail to capture the nuances.
Co-development is what drives adoption. And adoption is what turns your AI investment into positive ROI.
Let’s co-build it.
Bring one priority use case and the people who own it. We’ll bring the platform and the pod.