INDUSTRIAL AI: A GAME-CHANGER FOR RESOURCE-INTENSIVE INDUSTRIES
- Services
- AI-centred Business Operations
- Industrial AI
Your Challenge: Transforming high-stakes operations
As critical resources grow scarce and regulations tighten, traditional engineering approaches fall behind. Our Industrial AI platform enhances your existing processes and infrastructure — designing smarter process variants, material combinations, and production configurations before you commit to costly physical changes.
40X FASTER INNOVATION
Dramatically shorten development cycles.
25 % COST REDUCTION
Streamline operations, reduce waste, and boost efficiency.
ADAPTIVE PROCESSES FOR BETTER QUALITY
Maintain consistent output despite fluctuating inputs and constraints.
€50K INVESTMENT → €MILLIONS OF SAVINGS
Unlock measurable business value within 12 months.
Our Solution: Industrial AI Platform
Process.AI – Adaptive Process Intelligence
- Paper Manufacturer: €1.2M+ in annual energysavings through intelligent process control
- Chemical Company: 15% increase in plantefficiency despite constantly changing recycling fractions
- Recycling Company: €5M in savings throughvirtual plant ramp-up
- Generative Process Design: Digital twins create process variants, AI identifies breakthrough solutions within engineering constraints
- Digital Process Twins: Purpose-built virtual models that optimize critical decisions before physical deployment
- Continuous Learning: Start great and improve with every production run
- Modular Data Efficiency: Connect building blocks intelligently for maximum adaptability
- Virtual Ramp-Up: Save millions by perfecting processes before real production starts
- Adaptive Control: Maintain continuous quality despite volatile inputs
- Accelerated Go-to-Market: Rigorous process design cuts time-to-production in half
- Future-Proof Adaptability: New module, new product, no problem
Product.AI - Accelerate Product Development
- Cement Manufacturer: New formulation with 80%less CO₂ — developed in just 8 weeks
- Packaging Producer: Food-safe packaging with30% recycled content — developed in just 6 weeks
- Polymer Manufacturer: 85% fewer experiments todevelop new formulations
- Inverse Design: Input specifications → AI generates 1000+ optimized candidates → Test only the top 3
- Multi-Fidelity Intelligence: Lab data + literature + process knowledge + frontier database connectors
- Complexity Mastery: Handle 15 components, 200 parameters, 50 requirements simultaneously
- No-Code Implementation: Lab staff operates AI directly
- 40x Development Speed: Characterization + AI replaces lengthy trial-and-error testing
- Full IP Sovereignty: Your IP never leaves your control - no vendor lock-in
- Overcome Resource Constraints: Find alternatives when key materials become unavailable
- Reduce Harmful Components: Systematically replace toxic substances
Industries we support
With iteratec's AI-driven approach, we simulate thousands of solution paths while considering factors like expected performance, costs, and sustainability early on. This enables us to identify highly complex solutions that would be unreachable with conventional research.
Head of Research & Development in Leading Chemicals Company
How it works: Faster outcomes through advanced virtualization and continuous learning
Our Partners & Alliances
We work closely with international organisations, research institutions and open-source initiatives to drive sustainable innovation in industry.
De-Risk Your Transformation with our AI-First Approach
Discover advantages
Whitepaper: Industrial AI
Industrial AI reimagined: Your playbook for the process industry
Traditional AI approaches quickly reach their limits in industry. Our Industrial AI Playbook shows how companies can create real added value in just a few weeks with a decision-focused, adaptive approach – instead of spending years collecting data. Learn how the four fundamental shifts make the difference and how you can achieve measurable results quickly with AI-first strategies.
Get started now
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Free scoping session (2 hours)
Analysing your challenges and identifying the best AI approaches
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Proof of concept (6–8 weeks)
Testing technical feasibility in a real-world environment, measuring effectiveness
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MVP & Scaling (3–6 months)
A production-ready system with a clear roadmap for extending it to further processes
Your contact
Do you have a specific request or questions about the sustainable alignment of value creation processes in your company? Send me an enquiry and I will get back to you.
Dr. Christoph Völker, Head of Industrial AI