# VESSELFRONT

> Neurosymbolic, multi-agent AI routing for commercial shipping. Auditable, certified by Bureau Veritas, API-first. Used by major Greek-owned fleets.

VESSELFRONT is an AI-powered maritime route optimization platform that produces auditable, verifiable routing decisions. The engine combines symbolic reasoning with machine learning across a 22-million-node variable-resolution grid, integrating real-time weather forecasts, wave state, ECA zones, and vessel-specific fuel consumption models. Bureau Veritas certified.

## Core product

- [Home](https://vesselfront.com/): Overview of VESSELFRONT's routing AI, performance claims, and verification methodology.
- [How It Works](https://vesselfront.com/how-it-works/): Technical explanation of the VFWR engine — variable-resolution grid, A* search with weather-aware heuristics, multi-agent architecture, and re-routing at 6-hour intervals.
- [Solutions](https://vesselfront.com/solutions/): Use cases across voyage optimization, CII compliance, ECA fuel management, and charterer verification.
- [Developers](https://vesselfront.com/developers/): Integration overview for technical teams — REST API, webhooks, and SDK.

## API documentation

- [API Overview](https://vesselfront.com/api/): Getting started with the VESSELFRONT REST API.
- [API Reference](https://vesselfront.com/api/reference/): Full endpoint reference, request/response schemas, and authentication.

## Case studies

Route-level performance validated against historical AIS data. All voyages show fuel oil consumption (FOC), distance, and duration vs the actual historical track.

- [Tubarão → Gulf of Mexico](https://vesselfront.com/case-studies/tubarao-gulf-of-mexico/): Tanker, 2022. 13.67% FOC reduction, 4,941 nm optimized route.
- [Sikka → Niterói](https://vesselfront.com/case-studies/sikka-niteroi/): Tanker, 2023. 13.31% FOC reduction, Sea State 5+ cut from 36% to 26%.
- [Tubarão → Port Louis](https://vesselfront.com/case-studies/tubarao-port-louis/): Tanker, 2022. 14.34% FOC reduction, Sea State 6+ cut from 13.7% to 1.3%.
- [Sture → Tetney Terminal](https://vesselfront.com/case-studies/sture-tetney-terminal/): Tanker, 2019. 14.51% FOC reduction on a 438 nm North Sea SECA voyage.
- [Porvoo → Skaw STS Area](https://vesselfront.com/case-studies/porvoo-skaw-sts-area/): General Cargo, 2020. 6.67% FOC reduction, Baltic winter routing.
- [Tubarão → Pascagoula](https://vesselfront.com/case-studies/tubarao-pascagoula/): Tanker, 2018. 1.67% FOC reduction, 46 nm shorter, 3 hours faster.
- [Persian Gulf → South Atlantic](https://vesselfront.com/case-studies/south-atlantic-persian-gulf/): Bulk Carrier, 2023. Cape of Good Hope routing, 0.94% FOC reduction.

## Research & insights

Peer-reviewed papers and technical whitepapers from the VESSELFRONT team.

- [Insights overview](https://vesselfront.com/insights/): Index of research papers and whitepapers.
- [Why Resolution Wins (Whitepaper)](https://vesselfront.com/insights/vr-grid-whitepaper/): VESSELFRONT's 22M-node variable-resolution grid — how adaptive spatial resolution resolves the trade-off between meteorological fidelity, coastal safety, and computational tractability.
- [VFWR: Charting the Optimal Voyage (IEEE MDM 2026)](https://vesselfront.com/insights/weather-routing/): A* path-finding with weather-aware heuristics, validated on 100 historical voyages. Median solve time 23 seconds.
- [Fuel Oil Consumption Prediction Model (SOME 2026)](https://vesselfront.com/insights/some-2026-foc-model/): ANN-based FOC prediction pipeline validated on four years of high-frequency vessel telemetry, produced in partnership with Tsakos Energy Navigation.
- [Neurosymbolic Route Optimization (Technical Paper)](https://vesselfront.com/insights/neurosymbolic-arch/): Neurosymbolic architecture combining neural forecasting with hard regulatory constraints. 2.1% fuel efficiency gain over pure-ML baselines, zero rule violations, across 1,200 back-tested voyages.
- [CII Compliance at Scale (Whitepaper, with Bureau Veritas SMART)](https://vesselfront.com/insights/cii-compliance/): Real-time CII fleet management framework. One full rating grade gained within 18 months across Supramax and Panamax fleets.
- [Multi-Agent Voyage Optimization (Research Paper)](https://vesselfront.com/insights/multi-agent/): Five specialized agents — route, fuel, emissions, safety, trade — coordinate via game-theoretic optimization. 4.3% improvement over single-agent baselines across 500 voyage simulations.
- [Independent Route Verification for Charterers (Whitepaper)](https://vesselfront.com/insights/charterer-verification/): Counterfactual route analysis methodology for charter party disputes. Quantifies fuel deviations; addresses London arbitration and BIMCO clause context.

## Plain-text paper mirrors (Markdown)

Machine-readable full-text versions of all research papers, suitable for direct retrieval by LLM crawlers.

- [Why Resolution Wins — Markdown](https://vesselfront.com/papers/vr-grid-whitepaper.md)
- [VFWR: Charting the Optimal Voyage — Markdown](https://vesselfront.com/papers/weather-routing.md)
- [Fuel Oil Consumption Prediction Model — Markdown](https://vesselfront.com/papers/some-2026-foc-model.md)
- [Neurosymbolic Route Optimization — Markdown](https://vesselfront.com/papers/neurosymbolic-arch.md)
- [CII Compliance at Scale — Markdown](https://vesselfront.com/papers/cii-compliance.md)
- [Multi-Agent Voyage Optimization — Markdown](https://vesselfront.com/papers/multi-agent.md)
- [Independent Route Verification for Charterers — Markdown](https://vesselfront.com/papers/charterer-verification.md)

## Company

- [About](https://vesselfront.com/about/): Company background, mission, and approach to verifiable AI in shipping.
- [Team](https://vesselfront.com/team/): The people behind VESSELFRONT.
- [Resources](https://vesselfront.com/resources/): Additional materials for operators and charterers.
- [Tutorials](https://vesselfront.com/tutorials/): Step-by-step guides for integrating and using the VESSELFRONT platform.