The complete maritime picture. Environmental, regulatory, and threat - fused around every vessel in your operational area.
Empyrean's Maritime Intelligence fuses 20+ operational data sources into a continuously-assessed maritime picture that wraps automatically around every AIS track in your operational area. The moment you select a vessel, its complete regulatory, environmental, and threat context appears - no queries, no tab-switching, no waiting.
The Problem
A vessel transits your area of interest. You see a dot on a map with a name, an MMSI, and a speed vector. But what you need to know is: What's the sea state at its destination? Are there harmful algal blooms threatening its cooling water intakes? Is an oil slick drifting into its projected route? What are the wave heights and surface temperatures along its transit corridor? Is sea ice advancing into the shipping lane? Has this vessel been detained for safety deficiencies? Is it flagged to a state that doesn't enforce international safety standards? Is it transiting a war risk zone that will cost its insurer an additional 2.5% of hull value? That context currently lives in a dozen disconnected systems - ocean forecast models, satellite imagery feeds, NGA publications, MoU detention databases, insurance zone maps, buoy observation networks, port authority status boards. An analyst manually cross-referencing all of them for a single vessel takes 20-30 minutes. For a watchlist of 50 vessels, it's a full shift. And the environmental picture changes every few hours - sea state rises, ice advances, a bloom develops, a slick drifts - so even yesterday's assessment is stale.
Who Has This Problem



Key Workflows
Capabilities
Platform Integration
Maritime Intelligence shares the same platform architecture as every other Empyrean domain. Automatic enrichment wraps every AIS track with regulatory, environmental, and threat context without manual queries. The Policy Engine evaluates compound maritime conditions - a vessel entering a JWC war risk zone is evaluated by the same architecture that handles an aircraft entering a TFR. All environmental data sources use a periodic download pattern, meaning the platform operates identically in air-gapped, DDIL, and internet-connected environments. The oil drift model and route intelligence run as server-side computations with no external API calls at inference time. Vessels are screened against the unified TFER screening engine (OFAC, EU, UK, UN, OpenSanctions - 500K+ entities).
Maritime Integrations — 28 connectors shipping today →Related Resources & Insights
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What is a Common Operational Picture?
A technical reference on the Common Operational Picture (COP): what it is, why most COPs fail operators, the difference between a display and a decision surface, multi-domain integration, MIL-STD-2525 symbology, edge deployment, and what a fused COP actually requires.
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What is Counter-UAS?
A technical reference on Counter-UAS (C-UAS): the threat, sensor modalities, sensor fusion, effector types, legal authorities, and layered defense architecture for military and critical infrastructure protection.
What is JADC2?
A technical reference on Joint All-Domain Command and Control (JADC2): what it is, why the top-down implementation is failing, what sensor-up architecture actually means, and why edge-deployed fusion is the only model that survives contact with reality.
What is Sensor Fusion?
A technical reference on multi-sensor fusion: state estimation, data association, multi-hypothesis tracking, identity provenance, and why fusion has to run at the edge. Written for operators and engineers who are tired of marketing hand-waving about AI.
High-Powered Microwave (HPM): From Hard Kill to Residual Risk
3,400 stochastic Monte Carlo runs across 44 configurations reveal the service-rate ceiling, residual warhead hazard, and closed-loop cascade failure mechanism of single-effector HPM defense against heterogeneous drone swarms of 40-400 threats. The Goldilocks zone is real and it is narrow.
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50 Monte Carlo seeds. 60 CJ-10 cruise missiles. 80 SkyHunter interceptors. 92.7% kill rate. The MRIC battery works brilliantly - then the magazine runs out at T+28:37 and everything on Miyakojima dies. The math says the Marines need more rounds.
Quantifying Layered Naval Defense Against Hypersonic Glide Vehicles
We simulated a DF-17 hypersonic glide vehicle salvo against an Arleigh Burke destroyer. 50 Monte Carlo seeds. The ship died every time. SM-6 achieved a 23% kill rate. PAC-3 MSE achieved zero. The engagement timeline - not the interceptor - is the binding constraint.
Empyrean Defense Release Log, Vol. 1: Maritime Intelligence & UAS Traffic Management
Empyrean ships Maritime Intelligence (MARINT) with 20+ environmental and regulatory data sources, Air Domain Intelligence (ADI) with FAA Aircraft Registry enrichment, and UAS Traffic Management (UTM) with 21-dimension Safety Risk Management scoring against Part 91/107/108/135/137. Route risk scoring, oil drift prediction, PSC detention screening, SIGMET/AIRMET integration, and Part 146 ADSP architecture for BVLOS operations.
The Environment Is Trying to Kill Your Mission. We Want to Mitigate It.
How Empyrean's Weather and Environmental Intelligence Service (WEIS) fuses atmospheric, fire, terrain, and space weather data into your operational picture - automatically modifying sensor confidence, route feasibility, and UAS BVLOS risk scoring across 12 dimensions.
Electromagnetic Spectrum Operations Is Everyone's Problem. Let's Do Something About It.
A comprehensive deep dive into Electromagnetic Spectrum Operations (EMSO) and Joint EMSO (JEMSO): the history of electronic warfare, doctrinal evolution from EW to CEMA to EMSO, cross-domain effects, and what military, law enforcement, and critical infrastructure operators can do about it today.
Would the Real Common Operating Picture (COP) Please Stand Up
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Introducing Empyrean Defense Research: unclassified, physics-backed wargaming analysis built on open-source data. Our first publication drops 1,500 Monte Carlo simulations of an Arleigh Burke vs. DF-17 hypersonic glide vehicles. The ship died every time.
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Sense, Make Sense, Act: How to Conduct Counter-UAS From Sensors to Deployments
The complete Counter-UAS playbook: 8 sensor types, how to fuse them, when to jam vs. shoot, and how to build layered drone defense that works in DDIL. From a single site to a theater-wide CUAS architecture.
Why JADC2 Needs Sensor Fusion at the Edge
JADC2 assumes persistent cloud and top-down authority. The people who actually shoot have neither. Here's why sensor fusion has to happen at the edge, and what that architecture looks like when the link goes dark.
Defense & Intelligence Glossary
A-to-Z reference of acronyms and terms used across electromagnetic spectrum operations, counter-UAS, sensor fusion, space situational awareness, JADC2, counter threat finance, entity resolution, and multi-domain command and control.
What is Counter Threat Finance?
A technical reference on Counter Threat Finance (CTF): the doctrine behind DoDD 5205.14 and JP 3-25, the difference between defense CTF and financial-sector AML/CFT, how sanctions, PEPs, debarment, shell companies, and trade-based money laundering fit together, the interagency architecture, and what operational counter-threat-finance software actually requires when the money trail has to tie back to a live sensor picture.
What is Entity Resolution?
A technical reference on Entity Resolution (ER): the problem of deciding when two records describe the same real-world entity, the deterministic, probabilistic (Fellegi-Sunter), machine-learning, and graph-based methods that solve it, why ontology and normalization come first, how ER underpins sanctions screening and beneficial-ownership resolution, and what it takes to tie resolved entities to a live operational sensor picture.
What is Intelligence Fusion?
A technical reference on intelligence fusion: the JDL/DFIG data-fusion model from signal to decision, the difference between data, sensor, information, and intelligence fusion, the JADC2 and Multi-Domain Operations doctrine it serves, the multi-INT and all-source disciplines it spans, and what fusion looks like for civilian and dual-use operators who never use the word JADC2.
What is Narrative Intelligence?
A technical reference on Narrative Intelligence (NARINT): the discipline of detecting, tracking, and countering narratives across the information environment. Covers Information Operations doctrine, MISO/PSYOP, the DISARM framework, Coordinated Inauthentic Behavior detection, SOCMINT/OSINT collection, counter-narrative operations, and what operational software requires.
What is EMSO?
A technical reference on Electromagnetic Spectrum Operations (EMSO): doctrine, Electronic Warfare, EMBM, JEMSO, the EMSO CFT, Electronic Order of Battle, CEMA, spectrum management, and what operational EMSO software actually requires.
What is a Common Operational Picture?
A technical reference on the Common Operational Picture (COP): what it is, why most COPs fail operators, the difference between a display and a decision surface, multi-domain integration, MIL-STD-2525 symbology, edge deployment, and what a fused COP actually requires.
What is Space Situational Awareness?
A technical reference on Space Situational Awareness (SSA) and Space Domain Awareness (SDA): orbital tracking, TLE propagation, the Space Surveillance Network, satellite characterization, counterspace threats, and why the space domain impacts every other domain you operate in.
What is Counter-UAS?
A technical reference on Counter-UAS (C-UAS): the threat, sensor modalities, sensor fusion, effector types, legal authorities, and layered defense architecture for military and critical infrastructure protection.
What is JADC2?
A technical reference on Joint All-Domain Command and Control (JADC2): what it is, why the top-down implementation is failing, what sensor-up architecture actually means, and why edge-deployed fusion is the only model that survives contact with reality.
What is Sensor Fusion?
A technical reference on multi-sensor fusion: state estimation, data association, multi-hypothesis tracking, identity provenance, and why fusion has to run at the edge. Written for operators and engineers who are tired of marketing hand-waving about AI.
High-Powered Microwave (HPM): From Hard Kill to Residual Risk
3,400 stochastic Monte Carlo runs across 44 configurations reveal the service-rate ceiling, residual warhead hazard, and closed-loop cascade failure mechanism of single-effector HPM defense against heterogeneous drone swarms of 40-400 threats. The Goldilocks zone is real and it is narrow.
The Devil Dog and the Dragon: USMC Organic IADS Against PLARF Cruise Missile Saturation on the First Island Chain
50 Monte Carlo seeds. 60 CJ-10 cruise missiles. 80 SkyHunter interceptors. 92.7% kill rate. The MRIC battery works brilliantly - then the magazine runs out at T+28:37 and everything on Miyakojima dies. The math says the Marines need more rounds.
Quantifying Layered Naval Defense Against Hypersonic Glide Vehicles
We simulated a DF-17 hypersonic glide vehicle salvo against an Arleigh Burke destroyer. 50 Monte Carlo seeds. The ship died every time. SM-6 achieved a 23% kill rate. PAC-3 MSE achieved zero. The engagement timeline - not the interceptor - is the binding constraint.
Empyrean Defense Release Log, Vol. 1: Maritime Intelligence & UAS Traffic Management
Empyrean ships Maritime Intelligence (MARINT) with 20+ environmental and regulatory data sources, Air Domain Intelligence (ADI) with FAA Aircraft Registry enrichment, and UAS Traffic Management (UTM) with 21-dimension Safety Risk Management scoring against Part 91/107/108/135/137. Route risk scoring, oil drift prediction, PSC detention screening, SIGMET/AIRMET integration, and Part 146 ADSP architecture for BVLOS operations.
The Environment Is Trying to Kill Your Mission. We Want to Mitigate It.
How Empyrean's Weather and Environmental Intelligence Service (WEIS) fuses atmospheric, fire, terrain, and space weather data into your operational picture - automatically modifying sensor confidence, route feasibility, and UAS BVLOS risk scoring across 12 dimensions.
Electromagnetic Spectrum Operations Is Everyone's Problem. Let's Do Something About It.
A comprehensive deep dive into Electromagnetic Spectrum Operations (EMSO) and Joint EMSO (JEMSO): the history of electronic warfare, doctrinal evolution from EW to CEMA to EMSO, cross-domain effects, and what military, law enforcement, and critical infrastructure operators can do about it today.
Would the Real Common Operating Picture (COP) Please Stand Up
The doctrinal COP promises a single fused display of relevant information shared across echelons. Reality delivers PowerPoint slides, uncorrelated sensor feeds, and TAK maps with six icons for one drone. Here's what a real COP requires: fusion, policy, edge deployment, and echelon-aware translation.
Building Physics-Backed, Unclassified, Open-Source Defense Research
Introducing Empyrean Defense Research: unclassified, physics-backed wargaming analysis built on open-source data. Our first publication drops 1,500 Monte Carlo simulations of an Arleigh Burke vs. DF-17 hypersonic glide vehicles. The ship died every time.
How the Space Domain Impacts Your Operations
A deep dive into Space Situational Awareness (SSA) and Space Domain Awareness (SDA), the cross-domain effects of space on electromagnetic, ground, maritime, air, and information operations, and what you can do to counter them.
Sense, Make Sense, Act: How to Conduct Counter-UAS From Sensors to Deployments
The complete Counter-UAS playbook: 8 sensor types, how to fuse them, when to jam vs. shoot, and how to build layered drone defense that works in DDIL. From a single site to a theater-wide CUAS architecture.
Why JADC2 Needs Sensor Fusion at the Edge
JADC2 assumes persistent cloud and top-down authority. The people who actually shoot have neither. Here's why sensor fusion has to happen at the edge, and what that architecture looks like when the link goes dark.
See Maritime Intelligence in action
Schedule a walkthrough to see this capability in action.