Wind Energy Analytics & InvestigationInterface concept
Pluto
Pluto helps operators analyse operational data, investigate abnormal behaviour, and bring relevant technical information into the process of understanding turbine issues.
Explore PlutoIntelligence for Wind Energy
Unlock Greater Performance from Your Wind Turbines
AeroSyn AI brings next-generation technology and engineering intelligence to wind energy operations, transforming complex turbine data into actionable insights.
Understand More. Spend Smarter. Maximise Performance.
01The operational challenge
Operational Clarity Starts With Better Information.
Wind energy teams work with data from multiple systems, equipment alarms, maintenance records, and technical documentation. Understanding how these signals relate can take time.
AeroSyn AI is being developed to bring relevant information together and support clearer operational investigations.
- 01
Disconnected Data
Operational information can sit across different systems and formats.
- 02
Complex Investigations
Understanding an alarm or performance deviation may require several sources of evidence.
- 03
Maintenance Decisions
Operators need useful context to decide what deserves attention.
- 04
Asset Visibility
A clearer view of equipment condition can support better-informed operational decisions.
02The AeroSyn AI approach
From Operational Signals to Clearer Decisions.
The aim is simple: gather what is relevant, highlight what looks unusual, and present it in a way that helps people decide what to do next.
03Products
Built for the Realities of Wind Energy Operations.
Two products, one goal: helping teams see what matters and understand why.
04Interactive turbine intelligence
See the Signals Behind the Machine.
Select a component to see the kind of operational evidence an operator might look at, and how an investigation could unfold. All values are illustrative.
Simplified model · illustrative
Select a part in the model or the list · drag to rotate
Gearbox
The gearbox increases shaft speed for the generator. Oil and bearing temperatures are common health indicators.
Illustrative condition indicatorWorth investigating
Example: oil temperature trend above similar turbines
Relevant evidence
- Oil and bearing temperatures
- Cooling system status
- Oil sample results and maintenance history
How an operator might investigate
- 1Check whether the rise is gradual and specific to this turbine.
- 2Rule out ambient and load effects.
- 3Review cooling system condition and recent oil analysis.
05Why AeroSyn AI
Designed Around Operational Decisions.
Software should make the next decision easier to reach, not add another screen to check.
Clearer Turbine Visibility
Bring important operational information into a more accessible view.
01Faster Investigations
Help teams navigate relevant evidence when investigating operational issues.
02Context-Rich Insights
Connect relevant signals with maintenance history and technical information.
03Human-Led Decisions
Present useful information that helps operators assess issues and decide on appropriate next steps.
04
06Technical perspective
Operational Intelligence, Built Around Your Data.
A conceptual view of how information moves from source systems to a decision. Select a stage to read more.
STAGE 01
Operational Data
The information operators already hold: turbine SCADA data, alarms and events, maintenance records, technical documents and, where available, condition and environmental data.
Conceptual architecture. Specific integrations and deployment options are discussed project by project.
07Company and progress
Building Practical AI for Renewable Energy.
AeroSyn AI is a UK company focused on one sector: wind energy operations. We are building software for real operational problems, shaped by how operators and engineers actually work.
- Company
- AeroSyn AI Ltd
- Registered
- England and Wales · No. 16833597
- Based in
- Oxford, United Kingdom
- Focus
- Wind energy operations and maintenance
- Products
- Pluto and Jarvis, in development
Milestones & pilot projects
We will share pilot projects and partnerships here once they are confirmed and agreed with the organisations involved. If you are interested in a pilot, we would like to hear from you.
Discuss a pilot08Insights
Notes on Wind Energy Operations.
Practical writing on SCADA data, investigations and the role of AI in maintenance. Articles marked “Sample · Draft” have not yet been reviewed.
Next step
Make Better-Informed Wind Energy Decisions.
Discover how AeroSyn AI is developing software to help wind energy teams understand equipment health, investigate operational issues, and work with greater clarity.