Both IMPROOF and OPTIMAL target optimization of steam cracking and olefin production processes using advanced modeling approaches.
AVGI
Belgian SME applying AI and process simulation to optimize steam cracking and deliver CO2-neutral olefin manufacturing.
Their core work
AVGI is a Belgian technology SME based in Zwijnaarde (Ghent's technology campus) specializing in computer-aided process design and simulation for the petrochemical industry, with a focus on steam cracking and olefin manufacturing. They develop and apply advanced process models to optimize industrial furnaces and chemical production processes, combining deep chemical engineering domain knowledge with computational methods. More recently, they have integrated AI and machine learning into process optimization workflows, targeting both efficiency gains and significant reduction of the CO2 footprint of ethylene production. Their work sits at the boundary between industrial process engineering and digital transformation of legacy chemical manufacturing.
What they specialise in
IMPROOF (2016-2020) was specifically focused on model-guided optimization of industrial steam cracking furnaces for ethylene production.
OPTIMAL (2021-2026) lists computer-aided process design as a top keyword, indicating it is a core methodological competence.
OPTIMAL applies artificial intelligence and machine learning to smart manufacturing and process control in olefin production.
OPTIMAL explicitly targets CO2-neutral olefin production, with carbon capture and CO2 utilisation listed as primary project keywords.
How they've shifted over time
In their first H2020 project (IMPROOF, 2016-2020), AVGI's work centered on model-guided optimization of steam cracking furnaces — classical process systems engineering applied to one of the most energy-intensive operations in the chemical industry. No AI or sustainability keywords appear from that period, suggesting a primarily deterministic modeling and simulation capability. By their second project (OPTIMAL, 2021-2026), the profile shifted substantially: AI, machine learning, smart manufacturing, carbon capture, and CO2 utilisation all entered the picture alongside the continued process engineering foundation. The evolution follows a clear arc — from optimizing existing fossil-fuel processes to redesigning them as intelligent, low-carbon systems.
AVGI is moving from classical process modeling toward AI-augmented smart manufacturing with an explicit decarbonization mandate, positioning them well for the industrial green transition agenda that dominates current EU funding priorities.
How they like to work
AVGI has participated in both of its projects as a contributor rather than coordinator, indicating they bring focused technical expertise rather than taking strategic or administrative leadership in consortia. With 23 distinct consortium partners from 9 countries across just 2 projects, they have consistently worked in large, internationally diverse teams — suggesting they are effective at integrating their specialized capabilities into complex multi-partner efforts. This profile is typical of a niche engineering SME that is sought out by consortium builders for specific process modeling or simulation capabilities.
Despite only two projects, AVGI has connected with 23 unique partners across 9 countries, reflecting participation in sizable, well-connected RIA and MSCA-RISE consortia. Their Ghent location places them adjacent to strong academic and industrial chemical engineering networks in Belgium and the broader Northwest European chemical corridor.
What sets them apart
AVGI occupies a narrow but high-value niche: process systems engineering and AI-driven optimization specifically for steam cracking and olefin manufacturing, which are among the most carbon-intensive and economically significant processes in European industry. Very few SMEs combine this level of domain depth in ethylene production with active AI/ML integration and explicit CO2 neutrality goals — most players are either large industrial firms or academic groups. For consortia targeting industrial decarbonization or smart manufacturing in the chemical sector, AVGI offers a rare combination of applied process engineering know-how and emerging computational capabilities in a flexible SME format.
Highlights from their portfolio
- IMPROOFAVGI's largest funded project (EUR 399,250 EC contribution), focused on integrated model-guided optimization of industrial steam cracking furnaces — a technically complex, high-impact domain in the petrochemical industry.
- OPTIMALA long-running RIA project (2021-2026) combining AI, machine learning, carbon capture, and CO2 utilisation to produce CO2-neutral olefins — representing AVGI's strategic pivot toward intelligent and sustainable chemical manufacturing.