Forecasting & operations dashboards
A licensing authority forecasts application volumes and reviewer load to plan capacity weeks ahead — instead of fire-fighting backlogs.
Services · Data engineering, predictive analytics, GenAI & modernization
Data Engineering & AI. From raw records to decisions.
We help organisations extract strategic value from their data — from ingestion and engineering through analytics and AI-powered automation — modernising legacy data estates along the way.
Trusted by 35+ leading organisations across the region
Capabilities
What we do
Every capability is delivered by the same engineers who designed it — no hand-offs, no gaps.
Data engineering & pipelines
Reliable ETL/ELT pipelines consolidating multiple sources into a single, governed analytical layer.
Data modernization
Migrating legacy warehouses and data estates to modern, cloud-native lakehouse architectures.
Business intelligence & dashboards
Interactive reporting with real-time KPIs, trends, and period-over-period comparison.
Predictive analytics
ML models that forecast volumes, processing times, and resource needs for proactive planning.
Generative AI
LLM-powered summarisation, intelligent search, response drafting, and Arabic-language interfaces — with human oversight.
Data governance & quality
Ownership, lineage, retention, and quality rules to keep data assets trustworthy and compliant.
Overview
Most organisations don't have a data problem in the abstract — they have a data problem in the specific. The records are there. The question is whether the right person can see the right number, in time to act on it, with enough confidence to defend the decision.
We build the full path from raw operational records to trustworthy decisions: pipelines that consolidate scattered sources, a governed analytical layer that everyone agrees on, and the dashboards, models, and copilots that turn it into useful surfaces in the workflow.
For generative AI we ground every assistant in your own data, with audit trails and human oversight in the design — not as a marketing line. Arabic-language support, including RTL UX and Arabic-tuned LLMs, is built in from day one.
How we approach it
A repeatable shape, tuned to your work.
Every engagement follows the same disciplined shape — adjusted for scope, urgency, and the constraints we find on the ground.
- 01
Source map
Inventory of source systems, owners, and quality issues — so the pipeline is designed against reality, not the ideal data model.
- 02
Engineer
Build reliable ETL/ELT pipelines into a governed analytical layer with clear ownership and lineage.
- 03
Surface
Dashboards, models, and AI assistants embedded into the actual workflow — not parked in a separate portal nobody opens.
- 04
Govern
Quality rules, retention, lineage, and access controls so the data assets stay trustworthy as they grow.
- 05
Iterate
Measure use, retire what nobody uses, and double down on the surfaces that change decisions.
Where it fits
Real shapes of work — not abstract use cases.
Patterns we deliver regularly, drawn from real engagements across the region.
Regulatory reporting & risk analytics
A bank consolidates fragmented sources into a governed analytical layer that supports both regulatory reporting and risk decisions.
Arabic-language GenAI assistant
A citizen-facing service deploys an Arabic-language assistant grounded in policy and FAQ documents, with full audit trail and human oversight.
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Talk to a specialistWhat you get
The outcomes worth paying for.
Decisions, not just reports
Surfaces are designed to change the action, not to confirm the status quo.
Trustworthy data
Governance and lineage built in so analytics survive audits and disputes.
Arabic-first AI
RTL UX and Arabic-tuned LLMs — not a Western product with a translated label.
Human in the loop
AI assists; people decide. Every assistant ships with oversight and audit baked in.
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Data platforms delivered
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ML models in production
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Languages, Arabic-first
Technology
Amazon SageMaker
LLMs & RAG
Arabic NLP
Power BI
ETL / ELT
Data governance
Frequently asked
Questions buyers actually ask.
Keep exploring
Other practice areas
Let's talk
Bring us your most tangled problem.
No decks, no pitches — just a brief call to understand what you're building, and how we'd resolve it.