Project O involved water footprint analysis, advanced oxidation processes, and nanoadsorption technologies for circular water use across multiple industrial sectors.
EKSO SRL
Italian SME combining circular water management expertise with AI-driven public policy tools, active in environmental and digital EU projects.
Their core work
EKSO SRL is a Sicilian SME that contributes applied expertise in environmental technology and digital innovation to EU research consortia. Their earlier work addressed circular economy challenges — advanced water treatment technologies (oxidation processes, nanoadsorption) and industrial symbiosis across water-intensive sectors including textiles, food processing, and aquaculture. More recently they have moved into AI-driven public governance, contributing to automated and citizen-centric policy-making tools. Their value in consortia lies in bridging operational environmental knowledge with emerging digital and governance approaches.
What they specialise in
Project O focused on integrated symbiotic resource flows across textile, food, agriculture, and aquaculture sectors, demonstrating circular industrial systems at demonstration scale.
AI4PublicPolicy involved automated AI-driven policy tools including virtualized policy management and big data analytics for public authorities.
Both projects engage environment as a theme — one through industrial water processes, the second through AI-driven environmental policy tools for public bodies.
How they've shifted over time
In their first H2020 engagement starting 2018, EKSO focused on tangible environmental engineering — water treatment chemistry, industrial water footprint measurement, and circular resource flows in food, textile, and agricultural sectors. By 2021 their portfolio shifted sharply toward digital governance: AI systems, big data, and policy automation for public authorities. This suggests the company either broadened into digital services or followed demand away from environmental process engineering toward GovTech and smart public administration.
EKSO is moving from environmental process technology toward AI-powered digital governance, making them a potentially interesting partner for projects that combine environmental data with automated regulatory or policy systems.
How they like to work
EKSO has participated exclusively as a consortium member — never as coordinator — across both projects, indicating they contribute specialist expertise rather than drive project direction. Their two projects connected them with 42 different partners across 17 countries, suggesting participation in large multi-actor Innovation Actions typical of IA funding schemes. There is no evidence of repeated partnerships, pointing to a broad but not deeply anchored network.
EKSO has worked with 42 consortium partners across 17 countries through just two projects, indicating involvement in large-scale EU Innovation Actions with wide European reach. No dominant regional cluster is identifiable from the available data.
What sets them apart
As a small Sicilian SME, EKSO brings a southern European, applied-industry perspective particularly relevant for water-intensive sectors — agriculture, aquaculture, and food — that carry real economic weight in Mediterranean regions. Their unusual combination of environmental process knowledge and AI governance expertise positions them as a bridge between technical and policy-focused work packages in the same consortium. For project coordinators needing both environmental operational input and digital transformation framing, they offer a rare dual profile within a single small partner.
Highlights from their portfolio
- Project OEKSO's largest investment (EUR 290,281) and most technically distinctive project, combining advanced water chemistry with circular industrial symbiosis simultaneously across five sectors at demonstration scale.
- AI4PublicPolicySignals a deliberate pivot into AI-driven governance tools, showing EKSO's ability to contribute to digital transformation projects for public authorities well beyond their environmental engineering roots.