Marketing
Content and campaigns produced faster, personalised to each audience and governed.
Why marketing content cannot keep up
Every channel, market and language needs its own content, and teams cannot produce it fast enough. Personalisation depends on data spread across systems, and every use of personal data must respect privacy law.
More content than people
Each channel, market and language needs its own version.
Scattered audience data
What is known about each audience sits in different systems.
Privacy rules
GDPR and the MENA personal data protection laws govern every use of personal data.
What changes
Autonomous content operations
Drafting, adapting and checking content with AI agents, supervised by your team.
Personalised at scale
Offers and content matched to each audience by recommendation models.
Governed data
Consent, masking and tokenisation built into every data flow.
What we deliver
Content agents
Multi-agent workflows that draft, adapt and check content, with human-on-the-loop supervision.
Language and sentiment AI
NLP, sentiment and deep semantic analysis, including Arabic-first models.
Personalisation engines
Classification, personalisation and recommendation engines on your audience data.
Campaign analytics
Dashboards, automated reporting and conversational BI on campaign data.
Data privacy engineering
Data masking, PII tokenisation and consent handled in the data platform.
How we work
Govern the data
Consent, residency and access settled before any model is trained.
Pilot one workflow
One content workflow automated end to end and measured.
Scale what works
More channels and languages once the first workflow is proved.
Technologies and standards
The models and data platforms behind content operations, as the documents behind this page name them.
- AI and machine learning
- ALLaM
- Falcon
- Jais
- Standards and regulations
- GDPR
- MENA PDPL
How to start
What happens next
Agreeing a time
Our team emails you to agree a time for the session.
Pre-consulting session
A free 30-minute online pre-consulting session: we go through your goals, systems and constraints.
Readiness review
In a free 48-hour readiness review, a Principal Architect checks your project against the 6-point Definition of Ready and recommends the track that fits.
Choosing the track
Scope-ready projects receive a binding proposal within 3–5 business days. Concept-stage projects start in the Blueprint Studio. A live system that is failing, undocumented or needs integration starts with a diagnostic of 1–2 weeks. The Blueprint Studio and the diagnostic each have a fixed fee, quoted in the proposal.
AI-native product teams
Managed, cross-functional pods of senior engineers, equipped with agentic coding and QA harnesses.
Fixed-outcome projects and round-the-clock managed services
Fixed-scope, milestone-driven delivery with named delivery leads, and round-the-clock application managed services under SLA governance.
Questions and answers
How do you keep AI content on brand?
Agents work from your guidelines and approved sources, and people review what they produce before it is published.
Is our audience data safe to use with AI?
Personal data is masked or tokenised before models see it, and models can run in a private or sovereign cloud, so the data never leaves your environment.
Can it work in Arabic?
Yes. We use Arabic-first and regional dialect models such as Jais, Falcon and ALLaM, as well as European and Asian models.
Where should we start?
With the content workflow that takes your team the most time, automated and measured before anything else.
Start with a conversation, not a contract.
Tell us what you need to build, connect or secure. An architect goes through it with you, then recommends where to start.