Data orchestration for enterprise.
Governed pipelines across legacy estates and cloud warehouses. Contract-tested, lineage-aware, built for customers who own their data.
Overview
Data orchestration infrastructure for enterprise, built to the standard institutions in this sector are required to operate.
XVICA designs, builds, and operates this layer for enterprise clients in the UK, US, Canada, and Australia. The work is specified against the regulatory regime, the operational profile, and the examination expectations of this sector before any code is written.
What enterprise cannot get wrong here.
- The data platform bill rises faster than the analytical output it produces.
- Schema changes break reports nobody knew existed.
- Data quality issues surface in quarterly earnings, not in engineering.
- Central data teams bottleneck analytical work across every division.
Named regimes, mapped controls
Regulatory requirements are translated into explicit control requirements, then mapped to tests and evidence collection. Nothing is implied.
Information standards
ISO 27001, SOC 2 Type II, and sector overlays (IEC 62443 for industrial, NERC CIP for energy) where applicable.
Privacy & data protection
GDPR Article 30 records of processing, UK Data Protection Act 2018, CCPA, and jurisdiction-specific residency constraints.
Sector overlays
Sarbanes-Oxley s.404 data controls for listed entities, FERC/NERC for energy, and commercial-contract audit rights as applicable.
Design decisions distinctive to this intersection
Components and design choices that recur across our work for this sector. Each deployment is specified individually.
Federated ownership
Producing domains own their data products. The platform enforces contracts rather than centralising ownership.
Lineage across legacy and cloud
Mainframe extracts, SAP modules, SaaS exports, and cloud-native pipelines are all first-class citizens in the lineage graph.
Quality gates at the contract
Producer cannot ship a breaking change without updating the contract and the consumers that depend on it.
Cost observable, not assumed
Compute and storage cost attributed per pipeline and per consumer. Governance decisions have cost-visible inputs.
Data product catalogue
Discoverable, reviewable, with documented owners and SLAs. Reduces shadow pipelines.
How we work in enterprise.
Enterprise data estates accumulate complexity faster than they accumulate discipline. Our approach is to stop trying to centralise ownership and start governing the interfaces between owners. Producing domains keep authority over their data products; the platform enforces explicit contracts, lineage, and quality gates between them. What this typically dismantles is the informal economy of shadow pipelines that forms when the central team becomes a bottleneck: analysts stop scraping production databases because a supported contract is faster; finance stops maintaining reconciliation spreadsheets because the upstream contract now guarantees what it needs; cost stops being a year-end surprise because every pipeline has an attributable owner. The platform is supporting infrastructure for that discipline, not a substitute for it.
How engagements run
Three canonical commercial models. The right one depends on your in-house capability roadmap and risk appetite.
License and operate a ready platform
Deploy an XVICA-developed platform configured for your environment. Optional managed operations under SLA.
Partnership modelCo-Build + OperateLong-term joint build
XVICA leads engineering; your team provides domain ownership and governance. Outcome-based commercial structure.
Partnership modelBuild-Operate-TransferBuild it, run it, hand it over
Designed, built, and operated to a specified maturity threshold, then transferred with documentation and runbooks.
Partnership modelData orchestration elsewhere
The same engineering discipline applied to neighbouring industries. Regulatory regime and operating profile differ; the standard does not.
Data for financial institutions
Risk, finance, and regulatory data movement on a governed fabric. BCBS 239 lineage, SR 11-7 model inputs, and evidence-grade quality controls.
Read onData for public sector
Cross-department data sharing on a governed fabric. Sovereignty-aware, Secure by Design, and auditable to Parliamentary standards.
Read onData for healthcare
Clinical, operational, and regulated data on a governed fabric. FHIR-native, IG-committee-friendly, clinical-safety aware.
Read onData orchestration infrastructure for enterprise.
Request a confidential briefing. We assess alignment and outline how XVICA can support your objectives in this sector.
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