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.

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Pilot-ready
MVP
10+
Years Wind Energy Expertise
Validated
North Sea & Baltic Sea
Human-in-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. Even when short-term alarms are visible, the long-term impact on fatigue, lifetime consumption and structural risk often remains hidden.

Reactive Operations

Most maintenance decisions still start after alarms escalate or failures appear. This keeps operations reactive, increases downtime risk, and leaves 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 and short-term events. The accumulated effect of daily operation on fatigue, lifetime consumption and structural risk often remains invisible.

Core Workflow

From signals to work orders

Ventyx does not stop at monitoring. It helps operations teams move from fragmented signals to validated decisions and executable work orders.

1

Connect Operational Data

SCADA, alarms, weather, maintenance records and digital twin outputs are connected into one operational context.

2

Generate Daily Priorities

AI agents identify what matters today and rank issues by risk, urgency and operational impact.

3

Review the Evidence

Each priority comes with supporting signals, data sources and reasoning so the manager can understand why it matters.

4

Confirm or Investigate

Site managers can confirm the recommendation or continue the investigation through a natural-language AI agent.

5

Create Work Orders

Validated decisions are converted into actionable work orders for engineering and execution teams.

Investigate with Agent

When a recommendation needs more evidence, ask the agent.

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

AI
Ventyx 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.

Our Solution

From operational data to validated decisions

Ventyx combines AI agents and digital twin intelligence to help wind farm teams prioritize, investigate, validate and execute operational decisions — without replacing existing SCADA or maintenance systems.

Ventyx AI CORE LLM Reasoning AI Agents ×16 ML Surrogate Digital Twin Physics Engine Knowledge Layer

AI Operations Copilot

AI agents analyze alarms, SCADA signals, weather and maintenance records to generate daily priorities, explain evidence, support investigation and prepare work orders.

  • Daily priority generation
  • Evidence-based recommendations
  • Natural-language investigation
  • Human-in-the-loop validation
  • Work order generation

Digital Twin Engine

Digital Twin intelligence tracks fatigue, lifetime consumption and load-driven risk, helping teams understand how today's operational decisions affect long-term asset health.

  • Fatigue and lifetime tracking
  • Load-aware risk assessment
  • Derating and maintenance scenario support
  • Long-term operational foresight

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 AI Decision Layer

Prioritizes operational risks
Explains reasoning and evidence
Connects decisions with lifetime impact
Unifies operational context
Supports validation and work order generation
AI agents standardize decision support

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.

Our Team

Built by wind energy and AI product experts

Ventyx 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
An AI-native company

Our internal agent team supports simulation, data engineering, model development, reporting and product operations — allowing us to move faster from research to product.

Our Vision

Step by step toward autonomous wind farm operations

Our vision is to make expert-level wind farm operations available everywhere — first through AI-assisted decision support, then through increasingly autonomous O&M workflows.

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.

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 intelligence into validated operational actions.

Stuttgart, Germany