Project evidence

European research translated into working technologies

Oliveris uses collaborative European R&I programmes as development and validation environments for technologies with a clear route towards industrial use. Our portfolio spans sensing, photonics, electronics, geothermal systems, scientific AI and advanced materials.

Projects as evidence of capability

Each project page focuses on the technical challenge, the project approach and the specific engineering contribution Oliveris makes — not simply on consortium participation.

Advanced sensors and photonics · Active · January 2024 - December 2027

COMPAS

CO integration of Microelectronics and Photonics for Air and Water Sensors

Challenge

Compact photonic sensing requires the photonic sensor, light source, detector, microfluidics and electronics to operate as one manufacturable platform while maintaining sensitivity, low power consumption and small form factor.

Approach

COMPAS develops a photonic integrated-circuit sensing platform that co-integrates light sources, photodetectors, microfluidics and analogue electronics using a chiplet approach for air and water monitoring.

Project

Applied sensors and agritech · Active · September 2025 - August 2029

senseApest

Portable sensor platform for non-contact plant-pest detection

Challenge

Plant-import inspection is labour intensive and often depends on visual assessment and physical sampling, limiting throughput and making hidden infestations difficult to detect rapidly.

Approach

senseApest is developing a portable detection unit based on volatile organic compounds emitted by pests and affected plants, combining complementary sensing technologies, algorithms and a reference database.

Project

Energy and thermal systems · Active · October 2024 - September 2027

GEOFLEXheat

Geothermal Extraction and Upgrade with Flexible Usage for Industrial Heat Applications

Challenge

Geothermal heat can be constrained by scaling, corrosion, temperature limitations and mismatches between available heat and industrial demand. Reliable operation depends on better visibility of plant and fluid state.

Approach

GEOFLEXheat combines heat recovery, scaling reduction, high-temperature heat pumping, thermal storage, control strategies and Digital Twin methods to deliver more flexible industrial heat.

Project

Geothermal and subsurface AI · Completed · January 2021 - December 2024

OptiDrill

Optimisation of Geothermal Drilling Operation with Machine Learning

Challenge

Geothermal drilling is expensive and uncertain. Operators need better real-time information about drilling conditions, formation changes and emerging problems while the drilling process is underway.

Approach

OptiDrill combined drilling measurements, advanced sensors, data analytics and machine-learning models to support rate-of-penetration prediction, lithology assessment, drilling-problem analysis and process optimisation.

Project

Multimodal sensors and photonics · Active · June 2026 - May 2030

SafeDrop

Multimodal Photonic-Electronic Sensor Platform for Rapid Health and Environmental Diagnostics

Challenge

Current chemical and biological detection often depends on laboratory equipment, long turnaround times and individual sensing modes that provide limited information about complex chemical environments.

Approach

SafeDrop combines photonic and electronic sensing in co-located cells and uses machine learning to interpret high-dimensional chemical fingerprints, targeting compact field-deployable sensing across water, health-related, food and air applications.

Project

AI, digital twins and materials · Active · July 2026 - June 2030

SimuLingua

Simulation-Powered Computational Linguistics for Materials Foundation Models

Challenge

Industrial chemical-state monitoring is often periodic, laboratory based and unable to provide continuous visibility of complex process chemistry. Materials discovery is also slowed by fragmented data and expensive simulation workflows.

Approach

SimuLingua combines multimodal scientific AI, physics-in-the-loop materials design and experimental validation. In the Oliveris-led UC6, selected sensing materials are integrated into a digital olfactory platform that generates chemical-state fingerprints for industrial process monitoring.

Project

Back to Home

Work with us

Partner with Oliveris

Discuss a consortium role, an industrial application, or a general enquiry.

Discuss a consortium Research coordinators and partners Discuss an application Industrial integration and scale-up