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Offshore Wind

Half your O&M budget is coordination, not repairs

Imagine air traffic control, but for wind farms. Every vessel, drone, turbine, and crew member on a single screen with live weather, real-time replanning, and automated dispatch. That is what Miradoris builds.

25-30%
of lifecycle cost is O&M
23%
of O&M goes to actual repairs
234+ GW
projected capacity by 2030
Air traffic control for offshore wind

What coordination actually looks like

A single screen showing vessel positions from AIS feeds, turbine status from SCADA, crew deployments, and live weather overlays. When sea state exceeds transfer limits, the system flags affected turbines and queues dispatch commands automatically.

Miradoris
North Sea Wind Cluster
Live
08:22
Wind14.2 m/s NW
Hs1.8m
TransferCLOSED
T-01
T-02
T-03
T-04
T-05
T-06
T-07
T-08
Windcat 42
Acta Centaurus
Alpha
Bravo
Eemshaven
>dispatch ctv windcat-42 to turbine T-05 when transfer window opens
8 turbines|2 vessels|5 crew
The coordination gap

Physical operations are stuck in the phone-call era

Multiple robot types, vessels, and human crews operate in the same environment, managed through separate systems. Every decision requires consulting multiple people staring at different monitors.

Pain point 1

Coordination chaos

ROVs, UAVs, maintenance ships, and ground crews each have their own control interface, their own schedule, their own operator. When something changes, coordination happens through radio calls and improvisation. No system connects these assets into a single operational picture.

ROVs, UAVs, maintenance ships, and ground crews each have their own control interface, their own schedule, their own operator. When something changes, coordination happens through radio calls and improvisation. No system connects these assets into a single operational picture.

Impact

Slower response times, duplicated effort, missed opportunities for concurrent task execution.

Maintenance missions are planned hours or days in advance, but conditions change in real time. Weather shifts, equipment states change, new faults appear, crew availability fluctuates. By the time a ship reaches the site, the original plan may already be obsolete.

Impact

Weather-related aborted missions are a top driver of O&M cost overruns in offshore operations.

Pain point 2

Blind sorties

Pain point 3

Dashboard overload

Turbine SCADA, weather stations, ship tracking, crew scheduling, and robot telemetry all live in separate systems. Operators synthesize information across 5+ screens to make decisions. The "intelligent dispatching systems" that exist are essentially SCADA dashboards with extra tabs, not spatial coordination interfaces.

Turbine SCADA, weather stations, ship tracking, crew scheduling, and robot telemetry all live in separate systems. Operators synthesize information across 5+ screens to make decisions. The "intelligent dispatching systems" that exist are essentially SCADA dashboards with extra tabs, not spatial coordination interfaces.

Impact

Decision latency measured in hours instead of seconds. Human error from information overload.

When a turbine fault is detected, someone has to manually check: Which ship is available? Is the weather window open? Do we have the spare part? Is the crew certified for this repair? Who else is nearby that could handle a different task opportunistically? This process takes hours. It should take seconds.

Impact

Reactive instead of adaptive operations. Missed weather windows. Cascading delays.

Pain point 4

No real-time replanning

Pain point 5

Safety without visibility

Personnel are scattered across turbines, ships, and platforms, facing drowning, falls, electric shock, and toxic exposure. Their locations and conditions are tracked loosely if at all. Rescue response planning depends on knowing where people are and what state they are in.

Personnel are scattered across turbines, ships, and platforms, facing drowning, falls, electric shock, and toxic exposure. Their locations and conditions are tracked loosely if at all. Rescue response planning depends on knowing where people are and what state they are in.

Impact

Slower emergency response. Higher insurance costs. Regulatory exposure.

Decades of research have produced sophisticated maintenance optimization strategies: condition-based, age-based, opportunistic, risk-based. Almost none of them are operationally deployed, because there is no system that can translate an optimized maintenance schedule into dispatched missions across real physical assets with real constraints.

Impact

Operations default to scheduled maintenance (wasteful) or break-fix (expensive). The optimization gap between theory and practice costs the industry billions annually.

Pain point 6

Preventive maintenance stays on paper

O&M cost structure

Where the money actually goes

O&M cost breakdowns reveal that actual turbine maintenance accounts for less than a quarter of total spend. The rest is logistics, administration, insurance, and vessel operations.

23%
Turbine maintenance
19%
Ship operations
19%
Insurance
17%
Administration

Over half the budget is coordination overhead. Ship transit, scheduling, inter-contractor communication, weather tracking, and regulatory paperwork consume more resources than the actual repairs they support.

The solution

One command surface for wind operations

Miradoris unifies vessel dispatch, drone inspection, crew management, and condition monitoring into a single real-time coordination layer. Every asset visible, every task assignable, every decision informed.

Unified fleet dispatch

A single command surface for inspection drones, CTVs, SOVs, ROVs, and rope-access technicians. Every asset visible, every task assignable, every conflict detectable.

Weather-integrated planning

Real-time weather data feeds directly into mission planning and scheduling. Missions auto-adjust before departure, not after vessels have already left port.

Real-time replanning

When conditions change mid-operation, Miradoris recalculates asset assignments, crew availability, weather windows, and spare part inventory in seconds.

Crew safety tracking

Real-time location and condition monitoring for every person across turbines, vessels, and platforms. Emergency response plans that know where people are.

Predictive maintenance execution

Bridges the gap between optimization models and operational reality. Translates condition-based maintenance schedules into actual dispatched missions with real constraints.

Natural language commands

Operators issue instructions in plain language. "Deploy drone inspection on turbines 14 through 22 when wind drops below 12 m/s." The platform handles the rest.

Return on investment

One prevented coordination mistake per quarter

The ROI calculation for Miradoris does not require optimistic assumptions. A single prevented aborted sortie covers the cost.

$50-80K
Average cost of one aborted vessel sortie
4x
Sorties per quarter cancelled due to coordination gaps
$200-320K
Annual savings from coordination visibility alone

This calculation covers only direct vessel sortie costs. It does not include the downstream impact of delayed maintenance, extended turbine downtime, crew standby costs, or insurance premium increases from elevated operational risk.

Assets coordinated

Every asset type, one interface

Inspection Drones (UAVs) Crew Transfer Vessels (CTVs) Service Operation Vessels (SOVs) Rope-Access Technicians Subsea ROVs Weather Stations Condition Monitoring Systems SCADA Integration Cable Inspection Robots
Downtime distribution

Where failures occur

Tower
29.4%
Blades
24.9%
Gearbox
14.5%
Generator
9.5%
Foundation
5.8%
Competitive landscape

Existing tools were not built for this

The offshore wind O&M market has coordination tools, but none integrate autonomous assets, AI-driven optimization, or real-time replanning into a unified command surface.

Offshare / Offinity

Netherlands

Marine coordination platform with real-time vessel, helicopter, and drone tracking. Includes permit-to-work management, work orders, personnel tracking, and multi-stakeholder contractor management.

Strengths
Purpose-built marine coordination
Real-time vessel and helicopter tracking
PTW and work order management
Multi-contractor stakeholder workflows
Limitations
No autonomous asset integration
No AI or ML capability in coordination logic
Forms-and-workflows approach, not a command platform
Small vendor with limited scale

SeaPlanner / Ascertra-SeaRoc

United Kingdom

Planning and real-time coordination platform with 20+ years in the market. Live operational map view, workforce certification management. DNV certified. Used on Nordsee One.

Strengths
20+ years of operational maturity
Live operational map view
Workforce certification management
DNV certified platform
Limitations
Legacy architecture built over two decades
Not designed for autonomous assets
No drone or robot integration as first-class entities
No real-time replanning or AI-driven optimization

Shoreline Wind

Denmark / Norway

Primarily a simulation and planning platform, with a recently added Marine Coordination module. Core competency is pre-operational modeling and scenario analysis.

Strengths
Strong simulation and planning capabilities
Major operator customer base
Scenario modeling for project development
Recently expanded into marine coordination
Limitations
Core competency is simulation, not real-time operations
Marine coordination module is newer and less mature
No autonomous fleet dispatch
No unified command surface for mixed asset types
Capability matrix

Feature-by-feature comparison

Existing platforms handle scheduling and vessel tracking. None coordinate heterogeneous autonomous assets with AI-driven real-time replanning.

Capability Offshare SeaPlanner Shoreline Miradoris
Real-time vessel tracking Partial
Drone/UAV coordination
ROV integration
Autonomous asset dispatch
Weather-integrated replanning Partial Partial
AI-driven optimization
Natural language commands
Multi-contractor management Partial
Personnel safety tracking Partial
Permit-to-work management
Condition-based maintenance execution
Spatial ontology layer

The unoccupied position

Existing tools coordinate vessels and manage permits. Miradoris coordinates everything: vessels, drones, ROVs, robots, and human crews in a single real-time interface with AI-driven replanning and natural language control. No other platform in the offshore wind market occupies this position.

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Be among the first

We are looking for partners willing to test Miradoris in real operational environments. Early adopters get priority access to the platform at significantly reduced rates.

We'll review your request and follow up. No unsolicited contact.