Technology diagnosis and audit
We structure the challenge, available data, constraints and success criteria. The outcome is a risk map and a plan for the first research stage.
Problem and risk mapR&D partner for industry and institutions
From a research question to technology that works.
R&W combines scientific rigour, process engineering and an implementation mindset. We build solutions that can be measured, validated and applied.
ResearchTechnologyImplementation
Services
A concrete outcome at every stage.
We can join a project at the challenge, research, prototype or pilot stage. The scope is tailored to the decision that needs to be made.
Research and validation
We design an experiment, test rig or model and verify the assumptions using measurable data.
Results and technology decisionPrototype and measurement system
We combine sensors, electronics, automation, AI and IoT in a demonstrator ready for testing in its target environment.
Working demonstratorImplementation and scale-up plan
We define the next TRL levels, pilot, documentation, partners and conditions required to proceed to investment.
Pilot and implementation planThe R&W model
Three stages. One responsibility.
We do not stop at a report. Each stage prepares the next — from understanding the phenomenon to an implementation decision.
Research
We diagnose the challenge, design the experiment and test hypotheses with data rather than assumptions.
Technology
We turn results into a demonstrator, process or measurement system ready for validation in real-world conditions.
Implementation
We guide the solution through successive TRL levels, a pilot and the documentation needed for an investment decision.
Areas of expertise
Expertise converges across disciplines.
Flows, energy and processes
Fluid mechanics, porous media, biogas, biomethane, gasification and optimisation of energy processes.
Photonics and sensing
Optical and fibre-optic sensors, measurement rigs, functional coatings and early-warning systems.
Environment and water quality
Pollution monitoring, PFAS detection, water quality assessment and technologies supporting the circular economy.
Data and R&D management
Data analysis, AI applications, work planning, risk management, milestones and preparation for scale-up.
Example directions
Projects where science meets application.
These examples show how we combine different competencies. Every project begins with its own diagnosis and success criteria.
Fibre-optic sensor for water quality monitoring
Development of a measurement path, functional coating and validation procedure for detecting selected pollutants, including PFAS.
Intelligent sensor data analysis
Data fusion, anomaly detection and predictive models supporting the assessment of a process, device or environment.
Automated process monitoring system
Integration of electronics, IoT communication and control with a research or industrial installation and a data dashboard.
R&D Team
Two perspectives. One implementation goal.
We combine experience in industrial processes with mechatronics, automation, electronics and environmental monitoring technologies.
R&D Leader · processes and energy
DSc Eng. Grzegorz Wałowski
Professor at ITP-PIB. Manager, coordinator and expert in research, development and implementation projects focused on processes, energy and environmental technologies.
View profileMechatronics · automation · electronics
MSc Eng. Patryk Radek
Mechatronics engineer and PhD candidate at Silesian University of Technology. His work covers prototyping, automation, electronics, embedded systems, IoT and AI for measurement data analysis.
View profileHow we work
From diagnosis to implementation decision.
We divide each project into clear stages with a defined outcome, quality criterion and decision: continue, adjust or stop.
- 01Diagnosis
Challenge, data and success criteria.
- 02Research
Experiment, model and validation.
- 03Pilot
Demonstrator in target conditions.
- 04Implementation
Documentation, partners and scale-up.
Project inquiry
Let us begin with a well-defined challenge.
Describe your technology challenge. This gives us a basis for assessing the possible research scope, key risks and a sensible next step.