One trusteddata layer.Every question answered.
Lakehouse platforms and knowledge graphs that unify OT, IT and field data in-Kingdom, governed, queryable and ready for AI, twins and analytics.
Why a data foundation matters now
AI and analytics fail on fragmented data. A governed lakehouse and a graph of how things relate are the quiet prerequisite for everything else.
Silos everywhere
Historians, ERP, GIS, video and tickets hold the same assets under different names.
AI needs clean data
Models and assistants are only as good as the data layer beneath them.
Relationships matter
Which pump feeds which line, which gate serves which flight, graphs answer that.
Residency and lineage
PDPL and audit require in-Kingdom storage and traceable lineage.
The answer: a lakehouse plus a knowledge graph, operated in-Kingdom, built for one use case, reused by all.
Sources: SDAIA 2026; MIM National Industrial Strategy; Future Factories Program; GACA 2025; Saudi Aviation Strategy; Matarat Holding
Data platforms, built for operations and AI
We design the data model, build pipelines from OT and IT, and run a lakehouse and graph that every dashboard, model and twin draws from.
Lakehouse
Raw to curated data with open table formats, streaming and batch.
Knowledge graph
Assets, locations, people, events and documents linked for reasoning.
Governance
Catalogue, lineage, quality rules and access control on every dataset.
Building blocks of a data-platform programme
Six components, ingestion and governance are shared by every dataset.
Ingestion
Connectors for OT, ERP, GIS, video metadata and files, streaming and batch.
Lakehouse storage
Object storage with open table formats and time-travel.
Knowledge graph
Entity and relationship model for assets, places and events.
Catalogue & lineage
Every dataset documented, owned and traceable to source.
Quality & rules
Validation, deduplication and reconciliation on ingestion.
Serving layer
SQL, APIs, BI, feature store and vector index for AI.
How it works: from source systems to a served answer
Six stages every dataset passes through.
Connect
OT, IT, field and files
Land
Raw, immutable, timestamped
Curate
Clean, conform, reconcile
Link
Graph of entities and events
Govern
Catalogue, lineage, access
Serve
SQL, APIs, AI, BI
Where a data platform earns its keep
Eight use cases that start with data you already produce.
Plant data platform
One source of truth for OEE, energy, quality and maintenance.
Airport operational data
Flights, passengers, parking and retail joined for decisions.
Grid data lakehouse
Meters, SCADA and assets unified for forecasting and outages.
Fleet & supply-chain graph
Vehicles, trips, shipments and partners linked end to end.
Season data foundation
Historical Hajj data prepared for twins and forecasting.
AI feature store
Governed features for every model in the enterprise.
Regulatory reporting
Automated, lineage-backed reports for regulators.
Enterprise search & RAG
Vector and graph indexes for assistants and analysts.
Where it creates value across Saudi sectors
The platform is built once; every sector adds its sources and models.
Industry & factories
OT and IT data joined for OEE, energy and AI.
Airports
AODB, parking, POS and sensors in one layer.
Hajj & crowd mobility
Season histories prepared for planning and twins.
Fleet & logistics
Telematics, orders and partners in one graph.
Utilities & energy
Meters, SCADA and assets for forecasting and outages.
Retail & FMCG
POS, coolers and logistics for replenishment.
Start with the data behind one decision, curate it, link it, then add the next.
A quarter with a governed data platform
Illustrative sequence from an airport operator.
connect
Flight, parking and retail systems land in the lakehouse with lineage and owners.
link
Gates, stands, car parks and tenants are linked in the graph.
serve
Planners query passenger flow against parking demand; forecasting models train on the same data.
govern
Quality scores and access reviews are reported; two datasets are promoted to certified.
One platform serves dashboards, models, twins and assistants, no more copies.
Illustrative scenario, not a case study.
Where this technology goes to work
Let us curate the databehind your first decision.Know now.
A 45-minute walkthrough of your operation, and the one workflow worth proving first.