From Offshore Roots to Smarter Shipping: How Spinergie Is Turning Maritime Data into Decarbonisation Action

As maritime decarbonisation advances, the industry is discovering a hard truth: efficiency targets and emissions reduction goals cannot be met without robust, usable data. For Spinergie, a maritime technology company founded in 2016, that challenge has shaped its evolution, from offshore market intelligence to shipboard digitalisation and emissions performance.

Speaking to Digital Ship, Spinergie co-founder and Chief Product Officer Louis Jozon describes a company built at the intersection of operational reality, data science and emerging AI.

Digitalising Operations to Build Trustworthy Maritime Data

Spinergie’s origins lie in offshore energy, where fragmented and opaque data made it difficult for vessel owners and charterers to understand market dynamics. “Our starting point was market intelligence,” Jozon explains, referring to Spinergie’s early focus on aggregating geospatial, contractual and vessel activity data into a single, intuitive platform.

The initial value proposition was not operational optimisation, but clarity: understanding vessel availability, utilisation, performance history and future demand across offshore wind, oil and gas, and subsea operations. By applying machine learning models to publicly available and proprietary data sources, Spinergie created a more granular and dynamic view of offshore markets than traditional intelligence providers.

This same philosophy later moved onboard. As Spinergie expanded into fleet management, the company focused on simplifying how data is captured at sea. “The priority was to make life easier for crews,” says Jozon. Instead of adding another reporting layer, Spinergie consolidated noon reports, technical logs and charterer reports into a single point of entry, allowing one data input to feed multiple downstream systems.

This approach has become increasingly relevant as shipping faces mounting regulatory pressure. Manual reporting via spreadsheets is no longer sustainable under EU ETS, FuelEU Maritime and CII requirements, especially with the rise of non standard fuels usage and increasing granularity requirements. Spinergie integrates directly with major class societies and verifiers, ensuring emissions and compliance data flows seamlessly from vessel to regulator.

The result, Jozon argues, is not just digitalisation for its own sake, but the foundation of a reliable data infrastructure. “Once compliance forces digital reporting, everything else becomes easier,” he says. “You suddenly have verified, structured data that can be used for performance analysis and decision-making.”

Turning Data into Decarbonisation and Smarter Decisions

While digitalisation enables visibility, decarbonisation depends on what operators do with that visibility. Spinergie approaches emissions reduction across the vessel lifecycle, beginning even before a vessel is chartered.

Using its market intelligence tools, Spinergie helps charterers compare vessels based on expected fuel consumption for specific activities. Rather than generic ratings, vessels are graded according to operational profiles, allowing charterers to select the most efficient option for a given task.

Once vessels are operating, Spinergie’s focus shifts to strengthening emissions baselines by identifying efficient behaviours and flagging inefficiencies. Accurate fuel consumption data, verified through digital reporting and sensor integration, gives owners confidence in their compliance strategy and fuels decisions around biofuels, FuelEU pathways and operational trade-offs.

The greatest emissions impact, however, often comes from vessel performance management – where long-term performance tracking remains one of the most effective levers, and where Spinergie also points to  newer opportunities such as energy-storage systems (ESS), which can cut in-transit fuel consumption by an estimated 7-12%.  Spinergie quantifies the fuel savings associated with maintenance events such as hull cleaning, propeller polishing or silicone coatings. By linking technical conditions directly to consumption and speed loss, owners can optimise maintenance timing rather than relying on fixed schedules. 

“Decarbonisation doesn’t happen without understanding the impact of each decision,” Jozon notes. “We help clients see what they actually gain from a maintenance action or operational change.”

Looking ahead, Spinergie is also exploring how artificial intelligence can further reduce friction in maritime workflows, without compromising trust. Large language models are being tested to assist with data propagation, reporting formats and platform navigation, but with strict safeguards against hallucination. Rather than delivering opaque answers, Spinergie’s AI tools guide users to verified data within the platform, maintaining transparency and auditability.

For Jozon, this balance is critical. As AI becomes commonplace ashore, expectations will rise onboard as well. “People will ask why the tools they use every day can’t exist on ships,” he says. “The challenge is integrating AI in a way that respects the operational and regulatory realities of maritime.”

A Digital Foundation for a Lower-Carbon Industry

Spinergie’s journey, from offshore intelligence to shipping performance and AI-assisted workflows, reflects a broader shift in maritime. Digitalisation is no longer optional, and decarbonisation cannot proceed on assumptions alone.

By focusing on data quality, usability and transparency, Spinergie enables evidence-based maritime decision-making, where compliance becomes a starting point, not the end goal.

As regulation tightens and competition intensifies, the companies best placed to cut emissions may be those that first learned how to trust their data.

source : thedigitalship