Industrial Intelligence.
Reframed.

“The Perfect Fuel” merges ET, OT & IT into a powerful foundation for autonomous, productive and sustainable operations.

Turning Industrial Data into Action

Built for complexity. Engineered for clarity.

70% of industrial companies fail at digital transformation.1

Our modular approach supports transformation at every layer of your operation.

“The Perfect Fuel” structures industrial transformation across ET, OT & IT —
not as a product, but as a methodology for autonomy, productivity & sustainability.

“The Perfect Fuel” ensures raw industrial data becomes clean, contextual & connected — ready for AI.

Industrial Excellence driven by AI

Market Growth & AI Adoption

85% of enterprises will deploy AI agents by 2025.

$43.6B global industrial AI market in 2024, expected to reach $153.9B by 2030, growing at a 23% CAGR.2

AI Uplifting Revenue

$450B – $650B in additional annual revenue can be generated by agentic AI in advanced industries by 2030, representing a 5 – 10% revenue uplift.3

Predicitive Maintenance Impact

AI agents can reduce downtime by 40% and predict equipment failures with 95% accuracy.

The predictive maintenance market was valued at $7.85B in 2022, projected to reach $60.13B by 2030, growing at a 29.5% CAGR.4

10% greater profitability

300% return-on-investment

30% greater energy efficiency

“The Perfect Fuel”
Turning raw data into real-time decisions

We don’t just digitize. We contextualize.

  • Deep expertise in ET, OT & IT
  • Seamless integration of third-party systems
  • Contextualized, high-quality data as foundation
  • Enabling reliable AI performance
  • Modular solution blocks for tailored transformation
  • Operationalized insights, not just data
  • Industrial AI + GenAI deployed in real-world complexity

Built with industrial insights. Not assumptions.

We don’t just digitize. We design autonomy.

Our approach isn’t plug-and-play — it’s based on deep domain knowledge across manufacturing, energy, utilities, marine, pharma & more.

SyntelliQ understands the friction between legacy systems, production goals & digital tools.

Our “The Perfect Fuel” framework in combination with our industry expertise enable us to implement industrial intelligence use cases from shop floor to enterprise-level orchestration.

Get in touch

Do you deal with data silos?

Are your systems producing data, but no decisions?

Is your AI initiative delivering results?

Is your AI strategy aligned with your actual workflows?

Are your ET/OT/IT systems aligned?

Can your current setup adapt fast enough?

Industrial Intelligence

Modular. Scalable. Built for your context.

Our solution is composed of configurable modules. These adapt to your infrastructure, priorities and digital maturity — without lock-ins.

Each module addresses a layer of industrial transformation: from data harmonization to real-time AI enablement, from worker guidance to workflow orchestration.

SyntelliQ Solution Bricks

  • Industrial Data Management
  • Industrial Analytics using Gen AI
  • Tailored Use Cases
  • Real-time AI enablement
  • Worker guidance
  • Workflow orchestration
  • GTM strategy

Recognize your challenges?

FAQ

What is ET/OT/IT convergence?

ET/OT/IT convergence is the integration of engineering technology (ET), operational technology (OT) and information technology (IT). It connects design, operations and business systems to enable smarter, more efficient and data-driven enterprises.

How can AI be applied in manufacturing?

AI in manufacturing helps optimize processes, reduce downtime and improve quality by analyzing large amounts of (production) data.

For example, AI-powered predictive maintenance can detect early signs of machine failure and schedule repairs before breakdowns, saving costs and avoiding production delays.

What makes data usable for GenAI?

Data becomes usable for GenAI when it is clean, structured, contextual and accessible. For example, in manufacturing, sensor data labeled with machine type, operating conditions, and timestamps allows AI to not just see numbers but understand which machine is vibrating abnormally under what load, making insights reliable and actionable.