Complex ingestion, weighted-source governance, high-stakes decisions.
Direct working experience with Lloyd’s List Intelligence on data ingestion at scale. AWS-native delivery for maritime data, application modernisation, and managed services. Maritime is one of D55’s named sector specialisms. AWS Advanced Consulting Partner Named sector specialism
Maritime intelligence is built on data that arrives from thousands of global sources, frequently in conflict, often partial, and almost always under pressure to feed decisions that have to be defensible later. Vessel movements, port operations, cargo manifests, regulatory feeds, weather and oceanographic data, market and commercial intelligence. Your data layer is the business.
The decisions your team makes on this data sit in front of governments, insurers, and financiers. They have to stand up to inspection. The same data that drives your commercial calls in the moment has to be reconstructable months later for audit, dispute, or downstream analysis.
Two feeds will give you different values for the same critical metric, and the question is which one the platform should trust and on what basis.
Without a governed system, your analyst chooses between conflicting sources case by case; the choice is rarely auditable and rarely consistent across the team.
Decisions made today have to be reconstructable later, with the data sources and weightings that led to them recorded in a way that stands up to inspection.
The ingestion volumes the business now handles aren’t what the original platforms were sized for.
Maritime’s data shape is varied and conflict-prone. The right architectural answer for you is governed ingestion with weighted-source decision-making, not just bigger pipes. Your platform has to decide between conflicting sources automatically, on rules your analysts have configured, with a full audit trail of every decision taken.
Your analysts should be able to configure processing rules without developer dependency. A platform that requires an engineering change for every rule update won’t keep up with your operational tempo; one that hands the rule layer to analysts, with appropriate governance, will.
Auditability is built in from the start, not added at the end. Every data point is traceable back to source, and every automated decision is logged with the rules and weightings that produced it.
Ingestion architectures on AWS that handle your thousands of global sources at scale, with automated processing rules that produce trusted output before any human intervention.
Analyst-facing UI for defining and configuring complex processing rules, including the weighting mechanism that resolves conflicts between your sources. Full audit trail of every weighting and every decision taken.
Re-platforming your legacy on-premises or single-server ingestion systems onto serverless AWS architectures using Lambda, Step Functions, and EventBridge. Scales on demand, removes the single-server bottleneck, supports orders-of-magnitude more sources.
We have one published maritime case study (Lloyd’s List Intelligence), and Maritime is one of three D55 named sector specialisms alongside Energy and Transport and Logistics. The work shape transfers across maritime data and operations engagements, and broader sector reach is being built deliberately rather than claimed prematurely.
Most engagements begin with a short scoping conversation to identify the right entry point for you: a Funded Data Strategy Diagnostic when your data and AI plan is still being shaped, an AWS-funded migration assessment when the work is platform replacement, or a paid scoping engagement when the work is well-defined.
Engagement cadence respects your operational tempo. Your analyst team’s day-to-day workflow stays central, and the platform changes happen underneath without disrupting analyst capacity.
Lloyd’s List Intelligence, a world-leading provider of data and analytics for a complex global industry, commissioned D55 to rebuild its data ingestion platform. The new platform ingests data from thousands of global sources and applies an automated weighting mechanism to resolve conflicts.
When two sources provide different values for the same critical metric, the system makes the call based on the pre-set priority and logs a full audit trail of the weightings and decisions taken. Analysts can now define and configure complex processing rules themselves through a UI, without developer dependency. The system requires significantly less manual work and produces trusted output before any human intervention.
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