Industrial AI & Digital Platforms

Connecting & Digitising Value Chains

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Design & building of Digital Platforms for Stakeholder Management/Collaboration and for linking actors along the value chain (right to the consumer).

Based on an existing library of configurable modules from our proprietary Moap® stakeholder platform builder; modules can be easily mixed and matched & customised for reducing Time to Market.

Application Programming Interface (API) for integration with existing data sources.

Cocreation with the client for outstanding User Experience & User Design.

Web, smartphone & Tablet applications.

Solutions to digitise business

3 projects

Industrial AI & Digital Platforms

Intelligent Decision Support Systems

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The increasing complexity of the problems and the continuous growth of information and knowledge that should be mastered by responsible people in organizations underlines the need for DSSs driven by advanced and modern technologies.

We build intelligent decision support system (IDSS) for our clients that make extensive use of Artificial Intelligence techniques for supporting decision makers, based on Machine Learning (that use structured data) and Deep Learning, a subset of machine learning where Artificial Neural Networks, algorithms inspired by the human brain, learn from large amounts of data through AI.

The Deep learning solutions provided by IRIS allow machines to solve complex problems even when using a data set that is very diverse, unstructured and inter-connected.

Supports your business or organizational decision-making activities

3 projects

Industrial AI & Digital Platforms

Data Management Platform

Integrate, curate and manage data from all sources

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Provides Machine Learning and Chemometrics tools for complex process control, with the ability of interpreting and connecting metadata in an intelligent way.

Communication drivers for the main PAT sensors on the market, simplifying integration into plants and the consolidation of real-time monitoring information to ensure that the processes are running according to the correct specifications and guidelines for optimal operation of the production plant.

API for bi-directional linking of the Data Management Platform Predictive Engine with the plant SCADAs for: a) collecting the required data for modelling the respective machinery (process) digital twins; and, b) feeding the SCADA-based control algorithms with high level predictions -e.g. based on inducted rules- as an alternative source of AI-based decision-making criteria, whenever required.

Connectivity with ERP, MES and SCADA systems makes it possible to elevate the chain of communication directly to plant managers and directors.

Solutions for collecting, managing and doing business from data

3 projects

Innovation lines

Our R&D interests in Circular & Bio-Economy

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  • Waste valorisation technologies and strategies towards Zero Waste production
  • Digitisation towards Circular 4.0 and Bio 4.0
  • New Circular Value Chains and business models
  • Bio-based and/or renewably sourced products for reduced carbon footprint
  • Study of best use for waste streams and downstream process development to extract selected target fraction(s)
  • New applications of bio-based compounds with unique environmental, functional and/or safety performance.

Boosting the economy through green technology establishing sustainable industry and manufacturing .

6 projects

Innovation lines

Our R&D interests in AI & Digitisation

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  • ICT tools
    • Industrial Internet of Things (IIoT)
    • Industrial SMAC solutions
    • Communications and Connectivity (5G)
    • IT platforms for industrial digitisation applications
  • Data management and embedded Artificial Intelligence solutions:
    • Advanced Machine Learning
    • Agent-Based Modelling (ABM)
    • Data Fusion
    • Deterministic and Stochastic approaches
    • Big Production Data
    • Other Data Mining techniques for predictive capability and decision support, and for active control and production on demand.

High-performance digital platforms for exploiting data with Artificial Intelligence and Deep Learning tools.

6 projects

Innovation lines

Our R&D interests in Applied Photonics

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  • Process Analytical Technologies (PAT) and Quality-by-Design
  • Latest  developments in Infrared Spectroscopy technology:
    • Near-Infrared
    • Hyperspectral Imaging
    • Raman
    • Fluorescence
    • Terahertz
  • Technological advancements in terms of MEMs devices, low-cost analysers, improved accuracy, and reliability, increased speeds, biofouling solutions to promote industry applications and adoption.
  • Latest chemometric and data fusion techniques for obtaining actionable information from analyser data.

Spectroscopy technology for production process optimisation

6 projects