AI-Native  ·  University of Stuttgart  ·  Stuttgart, Germany

The AI Decision Layer
for Wind Farm Operations

Ventyx connects SCADA, alarms, weather, maintenance records and digital twin intelligence — helping site managers prioritize risks, investigate evidence, and turn validated decisions into work orders.

AI recommends.   Humans validate.   Operations move faster.

Scroll
Pilot-ready
MVP
10+
Years Wind Energy Expertise
Validated
North Sea & Baltic Sea
Human-in-the-loop
Decision Workflows

The Challenge

Existing systems generate more data than ever — but decisions still depend on manual interpretation.

SCADA, alarms, condition monitoring, weather and maintenance systems provide valuable information. But site managers still face the difficult task of interpreting fragmented signals, prioritizing risks, and deciding what action should be taken today.

Reactive Operations

Most maintenance decisions still start after alarms escalate or failures appear — leaving little room for early intervention.

Expert Bottleneck

Critical decisions depend on experienced engineers who cannot monitor every turbine, every signal, and every shift. As portfolios grow, expert knowledge becomes difficult to scale.

Fragmented Data

SCADA, alarms, weather, maintenance records and engineering models often live in separate systems. Valuable signals exist, but they rarely become unified operational intelligence.

Hidden Lifetime Impact

Traditional tools focus on immediate alarms. The accumulated effect of daily operation on fatigue, lifetime consumption and structural risk often remains invisible.

The Product

Two intelligence layers for wind farm operations

Nexus combines AI Agent and Digital Twin intelligence to help wind farm teams move from reactive monitoring to validated, evidence-based operational decisions.

AI Agents

AI agents analyze SCADA, alarms, weather and maintenance records to generate daily priorities, explain evidence, and support human investigation — before any action is taken.

  • Daily operational priority ranking
  • Evidence-backed recommendations
  • Natural-language investigation dialogue
  • Human-in-the-loop confirmation and work order generation
See it in action →

Digital Twin

Physics-based digital twin models track fatigue accumulation, lifetime consumption and load-driven structural risk — giving teams foresight that short-term alarms cannot provide.

  • Per-turbine lifetime consumption tracking
  • Fatigue and load-driven structural risk assessment
  • Derating and maintenance scenario modelling
  • Long-term operational foresight beyond alarm monitoring
See it in action →

AI Agents

Not sure about a recommendation? Ask the agent to dig deeper.

Site managers can challenge, verify and refine AI-generated priorities before turning them into actions.

AI
Nexus AI Agent
Analyzing Turbine T12 · North Sea Wind Farm
High Priority
Why is Turbine T12 ranked as high priority today?
AI

T12 shows abnormal vibration warnings, increased fatigue accumulation over the last 24 hours, and wake-affected inflow conditions. The main evidence comes from SCADA trends, alarm history and digital twin load estimation.

SCADA trends Alarm history DT load estimate
Should we inspect it now or derate first?
AI

Based on the current forecast and estimated lifetime impact, I recommend temporary derating followed by inspection during the next low-wind window.

Not a static dashboard — an interactive, explainable, human-in-the-loop decision system.

Digital Twin

Make lifetime consumption and structural risk visible.

Per-turbine fatigue accumulation and lifetime consumption are tracked in real time — so asset managers and technical directors can act on long-term risk before it becomes a short-term emergency.

Digital Twin Engine
AlphaVentus Wind Farm · 12 Turbines
06:00 UTC

Theoretical lifetime consumption per turbine

T01
87%
T02
91%
T03
89%
T04
71%
T05
88%
T06
82%
T07
74%
T08
76%
T09
95%
T10
83%
T11
72%
T12
52%
80%
Avg remaining
7
Healthy
1
Flagged
AI

T12 has consumed 52% of theoretical lifetime — 8% above expected for its operating hours. Combined with recent vibration alerts, Nexus flags T12 as high priority for inspection.

Technology

Driven by physics models and AI working together

Nexus is built on a deep integration of physics engines, digital twin models, ML surrogate models and AI agents — trained and validated on operational data from the North Sea and Baltic Sea.

Nexus Technology Architecture

Trained and validated on operational data from the North Sea and Baltic Sea — currently running with pilot customers across Europe and China.

Why Ventyx

Beyond monitoring. Towards operational intelligence.

Traditional systems show what happened. Ventyx helps teams understand what matters, why it matters, and what to do next.

Traditional Monitoring

Shows raw alarms
Requires manual interpretation
Focuses on short-term events
Data remains fragmented
Stops at visualization
Expert knowledge is hard to scale

Ventyx Nexus

Prioritizes operational risks automatically
Explains reasoning and evidence
Connects decisions with lifetime impact
Unifies operational context across all data sources
Supports human validation and work order generation
AI agents standardize decision support at scale

Who It Is For

Built for wind farm operations teams

Site Managers

Start each day with clear priorities instead of manually reviewing hundreds of alarms.

O&M Managers

Standardize operational decisions across teams, shifts and wind farms.

Asset Managers

Understand how today's operations affect fatigue, lifetime consumption and long-term asset value.

Technical Directors

Connect engineering models, operational data and AI decision support into one scalable workflow.

Get In Touch

See what your wind farm should prioritize tomorrow morning.

Book a demo to see how Ventyx turns alarms, data and digital twin insights into validated, executable operational actions.

contact@ventyx.tech
Stuttgart, Germany

About

Built by wind energy and AI product experts

Ventyx Technology combines offshore wind research, digital twin engineering and AI-native product development.

DL
Alex Dexing Liu
Founder & CEO

Wind energy researcher and digital twin specialist with experience in offshore wind simulation, fatigue assessment and AI-enabled operational intelligence.

LinkedIn
CZ
Chengqi Zhu
Co-founder & CPO

Product and AI specialist focused on turning complex technical systems into usable, scalable decision-support products.

LinkedIn

Vision

Step by step toward autonomous wind farm operations

Now

Digital Twin + AI Copilot

Pilot-ready decision support for daily operations, lifetime tracking and validated work orders.

Next

Portfolio O&M Intelligence

AI-assisted operational intelligence across multiple wind farms, teams and regions.

Future

Robotics-ready Operations

Connecting AI decisions with inspection robots, autonomous maintenance workflows and field execution systems.

Nexus Pilot Access

by Ventyx Technology

Nexus is currently available for pilot customers and invited partners.

Please request access or contact us to schedule a demo.

Request Demo Access