Solutions we deliver

Oliveris combines physical engineering and digital intelligence to develop complete technology systems — from materials and sensor interfaces through electronics, data acquisition, control, validation and scale-up.

From physical technology to deployable systems

Our capabilities are designed to work together. A project may begin with a sensing material, a device or an industrial process problem; Oliveris connects the required hardware, electronics, data and control layers and carries the system through integration and validation.

Advanced Materials & Printed Technologies

Functional materials, printed electronics, coatings and scalable fabrication methods for next-generation devices.

Oliveris combines materials science with printed and scalable manufacturing methods to develop functional structures, electronic features and device components that can progress from laboratory concepts towards repeatable industrial processes. Our work links materials behaviour with device architecture, electronic interfaces, fabrication constraints and validation requirements so that manufacturing considerations are addressed during development rather than after it.

Technical competencies

  • Functional and sensing materials
  • Printed electronics
  • Thin-film and coating processes
  • Additive fabrication
  • Conductive interconnects and device structures
  • Component miniaturisation
  • Process development
  • Prototype manufacture and characterisation

Enabled outcomes

  • New device architectures
  • Reduced material use
  • Faster prototype iteration
  • Scalable fabrication routes
  • Manufacturing-ready process definitions

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Intelligent Sensing & Photonics

Sensor integration, photonic and electronic readout, multimodal acquisition and field-ready sensing architectures.

Oliveris develops sensing systems rather than treating the sensor element as an isolated component. We integrate sensor interfaces, photonic or electronic transduction, analogue and digital electronics, embedded acquisition, communications, packaging and software into application-ready architectures. The work spans concept definition, prototype integration, characterisation, validation and field-deployable demonstrators.

Technical competencies

  • Sensor and interface architecture
  • Photonic sensing
  • Electrochemical and environmental sensing
  • Analogue and digital readout electronics
  • Multimodal sensor integration
  • Embedded data acquisition
  • Sensor packaging and interfaces
  • Prototype characterisation and validation

Enabled outcomes

  • Compact sensing platforms
  • Real-time monitoring
  • Multi-analyte measurement
  • Synchronised multimodal data
  • Robust field systems
  • Application-specific demonstrators

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AI, Digital Twins & Physical Intelligence

Physical sensor data, SCADA, modelling and machine learning connected to Digital Twin and decision-support workflows.

Oliveris applies AI where it is grounded in a real physical system. We define what must be measured, acquire and synchronise sensor data, reconstruct system state, combine measurements with engineering or physics-based models, and integrate machine-learning methods where they add value. This physical-intelligence layer supports Digital Twins, process monitoring, anomaly detection, chemical-state recognition, predictive operation and engineering decision support without separating the AI from the system it must understand.

Technical competencies

  • Time-aligned data acquisition
  • Signal processing and sensor fusion
  • System identification
  • Digital Twin interfaces
  • State estimation
  • Machine-learning integration
  • Predictive analytics
  • Process optimisation
  • Uncertainty-aware decision support
  • PLC/SCADA and supervisory data integration
  • Industrial data interoperability

Enabled outcomes

  • Improved process visibility
  • Earlier fault and degradation detection
  • Model calibration from real measurements
  • Predictive operation
  • Data-driven optimisation
  • More defensible engineering decisions

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Energy & Thermal Systems

Instrumentation, control and digital integration for geothermal, industrial heat and renewable-energy systems.

Oliveris develops the sensing, instrumentation and digital infrastructure required to understand and operate complex energy and thermal systems. We connect process measurements, industrial communications, PLC/SCADA, modelling and intelligent analysis so that physical plant performance can be monitored, validated and improved.

Technical competencies

  • Geothermal process monitoring
  • Industrial heat instrumentation
  • Flow, pressure, temperature, vibration and chemistry sensing
  • PLC/HMI/SCADA integration
  • Industrial communications and edge DAQ
  • Thermal-system integration
  • Digital Twin interfaces
  • Predictive operation and validation

Enabled outcomes

  • Improved process visibility
  • Better heat-system control
  • Reduced operating risk
  • Earlier detection of fouling, scaling or degradation
  • Validated energy-system performance
  • Reusable control and commissioning architectures

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Industrialisation & Scale-Up

Prototype engineering, validation, manufacturing-process development and deployment planning.

Deep-tech projects often succeed scientifically but encounter difficulty when fabrication, integration, validation and manufacturing requirements are addressed too late. Oliveris develops these considerations alongside the technology. We work on prototype architecture, design-for-manufacture, process definition, system integration, verification, pilot validation and deployment requirements so that research outputs have a credible route towards industrial use.

Technical competencies

  • Prototype engineering
  • Design for manufacture and assembly
  • Manufacturing-process definition
  • Test and validation planning
  • Pilot-scale integration
  • Supplier and fabrication interface
  • Commissioning requirements
  • Manufacturing feasibility
  • Scale-up and deployment planning

Enabled outcomes

  • Validated prototypes
  • Reduced scale-up risk
  • Repeatable manufacturing processes
  • Defined product pathways
  • Pilot-ready systems
  • Clearer route to industrial deployment

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