Data synchronicity since 2005
Data that moves,
data you can trust,
data that works.
Satisco keeps critical data flowing for banks, asset managers, logistics operators and public institutions across Europe. We build the pipelines, prove they are reliable, and turn what runs through them into something your business, and your AI, can act on.
- European sovereignty
- European teams, European offices, and architectures where you know exactly where your data sits and who can reach it.
- Operational resilience
- Flows that survive incidents, migrations and audits, with the evidence to prove it under DORA and NIS2.
- Data for AI
- Fresh, correct, governed data. The only durable way to make AI output worth acting on.
Our architecture
3 pillars, 10 offers, one thread
Make data circulate. Make it reliable. Then put it to work. Each pillar is a specialised Satisco practice with its own methods, tooling and engineers, and they can be bought in sequence or standalone.
Move
Make data circulate
Connect systems, industrialise partner exchanges, and move critical flows onto modern platforms without rewriting what already works.
Our founding discipline since 2005. IBM, Axway and WSO2 certified.
Trust
Make data reliable
Detect anomalies before the business does, prove that a flow behaves as specified, and demonstrate control to an auditor or a regulator.
Observability, test dossiers and lineage, under DORA, NIS2 and the AI Act.
Activate
Put data to work
Automate end-to-end processes, prepare data that models and agents can actually use, and give decision-makers a view they trust.
AI-ready pipelines, orchestration and decision-ready reporting.
Our architecture
Each layer builds on the one inside it
Integration Services is the core we have run since 2005. Data Governance wraps it with cartography, quality, reference data and lineage. AI Activation sits outside both, and only works because the two inner layers are already there.
Data for AI
Integration blocks AI adoption more often than skills or budget
Integration is the obstacle named most often ahead of AI adoption, before talent and before budget. The reason is uncomfortable but simple: a model can only be as current and as correct as the data it reads. Freshness and correctness are not hygiene items, they are the ceiling on every answer your AI will ever give you.
Stale data gives confident wrong answers
Refresh frequency is an architectural decision, not a configuration setting. A nightly batch caps every downstream answer at yesterday.
Duplicated data quietly splits reality
Three versions of the same customer produce three answers, and no way to tell which one a decision was based on. Reference data is where AI projects meet their first hard wall.
Data without lineage cannot be defended
The AI Act treats data governance as a condition of deployment. If you cannot show where a figure came from, you cannot use the output where it matters most.
The chain we engineer
5 stages, from the source record to an auditable decision
Real-time or defined-frequency refresh, instead of a nightly batch nobody questions.
Quality rules and reconciliation on the flow, with a measured error rate rather than an assumed one.
Ownership, lineage and reference data in place, so a figure means one thing company-wide.
Prepared, permissioned pipelines a model or an agent can actually consume at scale.
Output a management team is willing to commit to, because the provenance is visible.
Why the market is moving
4 numbers that describe our clients' problem
Sources: MuleSoft Connectivity Benchmark, The Business Research Company, Gartner State of AI-Ready Data, SWIFT CBPR+ scheme documentation.
Selected engagements
21 years, several hundred projects, 150+ critical migrations
Client names are withheld in every published document. Sector, scope and technology are described precisely.
Global transport and logistics
Intelligent EDI router, global shipping company
Dynamic multi-partner routing, EDIFACT, X12 and XML transformation, and real-time exception handling for the EDI messaging of one of the world's largest shipping companies.
EDI · Intelligent routing · Sterling B2B · WTX
Asset management and finance
SWIFT hub, international asset manager
Order flow, settlement and reconciliation messages plus EBICS, SEPA and FIX, on a high-availability architecture with full auditability.
SWIFT MT · EBICS · SEPA · FIX · ACE
Transport and supply chain
Full ESB platform, European logistics leader
WMS, TMS and ERP integration with B2B partner flows, monitored and alerted around the clock.
ESB · ACE · MQ · B2B · API
International financial institution
Inter-application communication platform
The central integration platform for critical inter-application flows, designed around security, regulatory compliance and end-to-end traceability.
Integration hub · MQ · API · Compliance
Payments and wealth management
Payments hub and wealth reporting
SEPA, instant transfer and reconciliation flows alongside wealth management reporting, order flows and portfolio valuation, with IBM FAH expertise.
SEPA · Instant payments · FAH
Logistics and distribution
WMS data migration with zero data loss
Items, stock positions, open orders and inventory history migrated from a legacy WMS, with double development and automated full-coverage testing.
WMS · Migration · ETL · Zero data loss
How we engage
3 formats, one entry point
Short assessments open the conversation with something you can act on. Build and Run install the value and keep it running.
5 to 15 days, fixed price. Flow cartography, gap analysis, costed plan. A short document written to be signed by a decision-maker.
A bounded project. Design, development, testing and cut-over on a defined perimeter.
Recurring. Operations, monitoring, evolution and on-call cover on your critical flows.
Our teams alongside yours, with knowledge transfer and training as a stated objective.
Let's start with what actually flows today.
A 5 to 15 day assessment gives you a flow map, a gap analysis and a costed plan. Short, fixed price, written to be signed by a decision-maker.