Enterprise Data Platform
Lakehouse on AWS — Redshift, S3, Lake Formation, Glue. SAP Datasphere and BW as governed sources. Heavy data migration and archiving track record: 70%+ footprint reduction on real estates.
ProvenSAP-proven. AWS-led. Cloud, data and AI — end to end. From landing zone through go-live to run, across MEA and the Caspian.
Thirteen years of SAP delivery across the region. Every functional band, every delivery model — including the named HCM & SuccessFactors sub-practice that anchors people-systems engagements.
Flagship modules shown. Full functional coverage across every SAP module — details on the SAP page.
We lead with AWS — landing zone, migration, modernization, FinOps — and deliver where workloads need to live. Azure and Huawei included where customers run there.



AWS-first data and AI built on 13+ years of SAP-data context. The frontier we invest in — and the area where marketing volume tracks proof, not intent.
Lakehouse on AWS — Redshift, S3, Lake Formation, Glue. SAP Datasphere and BW as governed sources. Heavy data migration and archiving track record: 70%+ footprint reduction on real estates.
ProvenBuilt on AWS. Arabic and English extraction from IDs, invoices, handwriting — structured JSON in Amazon S3, feeding Bedrock knowledge bases.
Deployed · AWS MarketplaceRAG knowledge bases and enterprise copilots on Amazon Bedrock; SAP Joule enablement where the data lives in SAP.
Frontier · building proofBuilt on AWS. Pricing intelligence (EstateEdge, retail price-compare) and logistics AI — routing, fleet and driver performance.
Product liveSAP-heritage and AWS-native products we've shipped. Not slides — live in production with regional customers, some available on AWS Marketplace.
Document AI · Arabic + English.
Extract structured data from IDs, invoices, forms and handwriting. Structured JSON out to Amazon S3, feeding Bedrock knowledge bases and downstream SAP workflows.
Pricing intelligence.
Real-estate and retail price intelligence — competitor listings, movement, and market-level trends surfaced for pricing, leasing and portfolio decisions.
More packaged accelerators available across SAP data migration, archiving, and pre-configured industry templates.
Every engagement fits one of four shapes. Most clients move through more than one over the lifetime of the relationship — advisory to build, build to managed service, managed service back to advisory when the next thing shifts.
A continuous loop, not a sequential pipeline.
Industry-by-industry depth is how MEA enterprise buying decisions actually get made. Lead references first; adjacencies where the operating model rhymes.
Oil & gas, mining, utilities — SAP-heavy estates, complex regulatory and JV structures.
Ministry-scale finance, HR and citizen-services platforms across the GCC and Caspian.
Discrete and process, including plant-level integration and supply-chain modernization.
Distribution, hospitals and specialty pharma — SAP + cloud for high-compliance workloads.
Pricing intelligence, supply chain, and the data platform behind both.
BSS / OSS adjacent, with HCM and finance for enterprise-scale operations.
Fleet, routing, driver performance — applied AI riding on SAP TM foundations.
Project systems, JVA, asset accounting — long-cycle estates with deep customization.
The strategic tier is what we lead the market with. The platform tier is where we're certified to build. The ecosystem tier is breadth — partners we can pull in when the engagement calls for it.
GTM markets are where the references and the active pipeline live. Corporate entities are the contracting and delivery vehicles for international clients — not standalone markets.
Where the references and active pipeline live.
Contracting & delivery vehicles for international clients — not standalone GTM markets.
Whether you're scoping an SAP move to cloud, restarting a stalled programme, or just trying to figure out where data and AI fit — start with a conversation.