Your competitors can buy the same data.

AIS feeds, vessel tracking, fuel prices, port schedules and regulatory information are widely available. Many energy and maritime trading organisations draw on overlapping sources.

SIREN — Space-enabled Maritime Emissions Intelligence & Regulatory Network — is ZeroPact's platform for turning shared maritime signals and a company's own commercial knowledge into decisions that are specific to that company.

Left: information broadly available to the market — AIS, vessel tracking, fuel prices, market data, regulatory information and shipping intelligence.

Right: information only you hold — customer relationships, fuel inventory, product portfolio, transaction history, commercial priorities, margin objectives and operational constraints.

SIREN combines both to produce commercial decisions that are specific to the business using it. Same ocean. Same vessels. Different intelligence. Different decisions.

Select an illustrative vessel to see the kind of intelligence profile SIREN generates: identification, estimated arrival, potential fuel requirement, emissions exposure, regulatory context, fuel-product suitability, an opportunity ranking and a recommended next action.

The workflow runs Identify → Qualify → Recommend → Engage → Execute. Predicted fuel demand is a modelled signal, not confirmed purchase intent. All vessels and values shown are illustrative.

Since 2024, shipping emissions are covered by the EU Emissions Trading System, with surrender obligations phasing in to 100% of in-scope emissions from 2026. Since January 2025, FuelEU Maritime sets limits on the greenhouse-gas intensity of energy used on board, tightening over time.

Together, these make fuel selection a compliance and economic decision, not only a price decision — while maritime data is increasingly available and commercial workflows remain fragmented. No market-size forecast is implied.

A maritime fuel supplier typically works across disconnected layers: AIS, vessel characteristics, EU MRV data, FuelEU rules, commodity prices, customer data, inventory and port operations.

Where these are not connected, the typical consequences are late opportunity identification, manual lead qualification, reactive engagement, incomplete fuel-product context and coordination friction. This describes a general industry pattern, not an assessment of any specific organisation's systems.

SIREN has five connected modules. Each carries its current status: Existing (operating today in Coast Watch), Pilot-stage (capability exists and is being adapted to maritime) or Roadmap (planned, subject to development and validation).

SIREN is the evolution of ZeroPact's Maritime Logistics Emissions Intelligence Platform (MLEIP).

The vessel and the external market inputs stay fixed. Only the commercial strategy changes: Grow sales, Optimise margin, or Accelerate lower-carbon fuel adoption.

Each strategy applies different weights to the same factor scores. The opportunity score, the vessel's ranking among three candidates and the recommended action all change. The model is deterministic and illustrative; every factor and weight is visible. No proprietary customer data is used.

Score = Σ (factor score × strategy weight). Factor scores are illustrative 0–100 values; weights sum to 100% per strategy.

ZeroPact is already piloting its maritime intelligence technology with a major European maritime biofuel player. The pilot is designed to validate vessel intelligence, fuel-sales optimisation, commercial workflows and FuelEU Maritime pooling capabilities in an industrial setting. Its scope covers vessel tracking and scoring, dynamic fuel-premium margin testing, automated post-sale workflows (dispatch and mooring coordination) and the design and testing of a compliance-balance aggregation and matchmaking engine — validated through simulated pooling scenarios across participating fleets, not live pool transactions.

The schematic map simulates an AIS feed with five fictional vessels. Selecting a vessel cross-checks its identity, position, speed, destination and arrival window against fuel-demand, timing, customer, product-fit and regulatory signals. The same weighted score drives its marker, ranking and recommended action. Likelihood is an illustrative commercial index, not a calibrated probability or confirmed purchase intent. No live AIS or customer data is used.

Commercial likelihood index = demand × 35% + arrival window × 20% + customer fit × 15% + fuel fit × 20% + regulatory exposure × 10%. All input scores are hypothetical 0–100 values. Simulated movement does not imply changing commercial inputs.

External information (AIS and satellite AIS, vessel characteristics, EU MRV data, FuelEU rules, fuel-market information) and customer-specific information (customer portfolio, fuel products, stock availability, pricing and margins, commercial priorities, operational constraints) flow into the ZeroPact intelligence core: data fusion, emissions modelling, regulatory scenario calculations, configurable commercial scoring and scientific traceability.

The core powers five connected business applications — Coast Watch, Fuel Sales Intelligence, Fuel Economics, Operational Automation and FuelEU Pooling & Intermediation — producing qualified leads, fuel-product recommendations, pooling scenarios, potential counterparties, commercial workflows and customer-facing intelligence services. Pooling shares the same core as fuel sales; it is not an isolated compliance feature.

Adjust the fuel prices and the EU ETS allowance price to see how the cost of an illustrative 1,000-tonne fuel requirement changes once ETS exposure and an estimated FuelEU balance are included.

All prices and intensities are editable, illustrative assumptions. Biofuel blends are not automatically cheaper or compliant: outcomes depend on certified sustainability, lifecycle values and market prices. This is decision support, not a verified compliance result or a guaranteed saving.

ETS cost = fossil tonnes × 3.114 tCO₂/t × allowance price (100% surrender for 2026 emissions; sustainable biofuel TtW counted as zero). FuelEU penalty estimate = |deficit gCO₂e| ÷ (actual intensity × 41,000 MJ) × €2,400, against the 2025–2029 target of 89.34 gCO₂e/MJ. Energy at 41 GJ/t for all fuels (simplification). WtW intensities are illustrative defaults.

A — Physical fuel supply: an eligible lower-carbon marine fuel is supplied to a vessel. Depending on certified fuel characteristics and the applicable methodology, it may improve that vessel's FuelEU compliance position.

B — Compliance-balance intelligence: SIREN models vessels with positive balances (A, B) and deficits (C, D) and evaluates possible pooling arrangements. Values are illustrative.

C — Intermediation opportunity: Identify → Assess → Match → Coordinate → Verify → Administer. A fuel supplier could act as a commercial facilitator. No supplier provides this service today; a supplier does not automatically own a vessel's surplus; FuelEU balances are not carbon credits; accredited verification and official FuelEU database procedures still apply.

Five illustrative vessels, each with a fuel profile, estimated annual energy use, modelled GHG intensity, modelled compliance balance and a data-quality indicator. Positive balances sit above the baseline, deficits below.

Scenario A shows standalone positions. Scenario B models a prospective pool of the selected vessels. Scenario C adds a hypothetical lower-carbon fuel supply to one deficit vessel, adjustable by blend share. Toggle vessels in or out, change the blend and the hypothetical service fee to see aggregate balance, deficit coverage, screening warnings and an indicative fee.

Deterministic model: balance = (89.34 − intensity) × energy. This is not an official FuelEU compliance calculator. Screening flags only; no pool is approved — every configuration requires verification. Fees are hypothetical and illustrative.

Balance (tCO₂e) = (89.34 − GHG intensity gCO₂e/MJ) × energy (TJ). Standalone penalty exposure = |balance| × 10⁶ ÷ (intensity × 41,000) × €2,400. B-blend intensity = (1 − share) × fossil intensity + share × 14 gCO₂e/MJ (illustrative renewable value). Fee = hypothetical €/tCO₂e coordinated × surplus allocated to deficits.

Three connected sources of potential value: physical fuel sales (qualified opportunities, engagement, product positioning, informed quotations); intelligence services (fleet emissions intelligence, FuelEU scenario analysis, customer decision support, subscription or service arrangements); and pooling intermediation (opportunity identification, eligibility and matching support, pool administration, commercial intermediation, contractually agreed service fees).

This is a possible commercial model requiring market validation, not an established ZeroPact revenue stream. No fees or margins are assumed.

For each pillar the slide shows the SIREN capability, the potential business outcome, a proposed pilot KPI and the capability status. KPIs are proposed pilot measures, not results. No ROI or revenue figures are claimed.

Layer 1 — shared data: market data, AIS, fuel prices, regulatory information. Layer 2 — proprietary intelligence: supplier-specific commercial rules, approved internal data, customer context, product economics and strategic priorities. Layer 3 — execution and feedback: commercial decisions, operational results, controlled model calibration and continuous improvement.

The deeper the integration, the more specific — and valuable — the intelligence becomes to its owner. Calibration is controlled and reviewed; no automatic self-learning or network effects are claimed.

ZeroPact's engine has performed more than 200,000 LCA calculations and measures emissions for more than 2 million parcel deliveries every month. Its automated product carbon footprint backend is ISO 14067 compliant, verified by SGS — this applies to the product LCA backend and does not certify SIREN's maritime models.

The core team brings AI and data science, LCA science, enterprise engineering and commercial execution. Selected references and recognition are shown as labelled. ZeroPact's full company deck is available at companydeck.zeropact.co.

Phase 1 — Strategic discovery (indicative 30 days): priority use cases, target ports and corridors, available data, intelligence requirements, FuelEU pooling relevance, potential fleet participation, regulatory and contractual constraints, pilot KPIs. Deliverable: a joint pilot blueprint.

Phase 2 — Industrial pilot (indicative 90–180 days): vessel opportunity intelligence, fuel-product matching, lead prioritisation, emissions and regulatory scenarios, selected workflow integration, pooling eligibility and matching scenarios, prospective intermediation workflows. Measure qualified leads, lead-to-sale conversion, intelligence lead time, model accuracy, time savings, pooling scenarios evaluated, eligible opportunities and customer demand for pooling services. Live pooling transactions are not a prerequisite; where real pool participation is considered, legal, commercial and verification requirements apply.

Phase 3 — Strategic scale (subject to pilot success): more ports, fleets and fuel products, enterprise integration, fleet-level intelligence services, pool management and intermediation services, international deployment. Commercial terms to be jointly agreed; no exclusivity implied.

SIREN by ZeroPact — from maritime data to proprietary commercial advantage. Fuel intelligence. Commercial optimisation. Compliance services. Pooling opportunities.

Proposed next step: a joint strategic workshop to define the first industrial pilot. Contact: Luís G. Branco, Co-Founder & Chief Growth Officer — lbranco@zeropact.co