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ai-omatic solutions provides a cloud-based software solution for predictive maintenance. Their solution analyses and visualises sensor data from machines with a unique algorithm that blends statistical methods with neural networks. This enables easy and convenient machine monitoring through a web browser, preventing machine failures before they occur.

ChainTraced provides digital traceability solutions, tracking raw materials to end products across the metal value chain. Their tools estimate CO₂ emissions, promote value chain collaboration and automate quality compliance by analysing supplier data for early warnings on potential failures.

Kheoos is a B2B marketplace facilitating connections between manufacturers, distributors and brokers for industrial maintenance parts. The platform enables manufacturers to create customised catalogues, reduce inventory levels, minimise breakage risks and resell dormant stock to generate additional revenue. In addition, it facilitates finding rare pieces.

Linqcase provides state-of-the-art technology solutions for non-destructive quality inspection (NDT). Their magnetic techniques allow evaluating robustness through pattern identification without sacrificing parts for quality checks. The result is more cost-effective, faster and more reliable 100%-part quality control.

MaestroHub supports digital transformation initiatives in manufacturing. Their digital infrastructure makes information accessible to anyone and any system in real time. Integration efforts are reduced by 80%, saving 50% of time through automatic contextualisation. Enhancing efficiency and usability, domain experts can conduct their analysis using drag and drop technology.

OndoSense provides measurement precision of up to 1 µm via radar-based technology. Their solutions work effectively, even in challenging conditions like steam, dust and extreme temperatures. With expertise spanning hardware design, software and algorithms, they offer exceptional solutions for process automation.

ONIQ‘s IQ/A software employs industrial process mining to automate the visualisation of production and logistics processes across the company using existing data from various IT systems. Through machine learning-based root cause analyses and automatic lean manufacturing analyses, their solution identifies inefficiencies on the digital value stream twin, thus enabling efficient problem-solving.

Plasmotion’s jet plasma polishing (JETPEP) revolutionises automated metal surface finishing, delivering manual-quality results with flexibility. Their solution eliminates the slow, expensive, error-prone and environmentally burdensome aspects of manual finishing, while excelling in handling large, complex parts and selective surface requirements. JETPEP provides shiny results in seconds and consumes five times less energy compared to traditional methods that take hours.

Plastic Repair System offers a circular economy solution, repairing returnable plastic packaging used in B2B, supply chain logistics and production operations. Their approach saves costs, reduces the need to buy new items by 30%, and, compared to recycling cuts CO₂ emissions by 311 times. Additionally, it speeds up delivery by 10 times, making plastic repair an efficient and sustainable alternative.

EZMEMS offers a cutting-edge solution for sensor fusion through edge multi-sensing. Their integrated high-performance system on a plastic chip, connected to an edge computing module, utilises composite polymer-based materials, bypassing the limitations of traditional semiconductor approaches.

Helmee Imaging‘s automated visual inspection technology addresses the unpredictable, biased and inflexible factors of human visual quality inspection in the automotive industry. Achieving 99% inspection accuracy in high-gloss parts, it reduces lead times, ensures consistent inspection quality, adapts to production fluctuations and reduces recruitment concerns.

HCP Sense effectively turns standard bearings into sensors. They offer an economical sensor for roll bearings which collects, measures and analyses crucial data for process monitoring and predictive maintenance real-time: forces and lubrication conditions. With successful test phases and implementation in various customer applications, HCP Sense provides a non-invasive and non-disruptive measurement method – without any design changes in machines.

Nista.io empowers individuals to make a significant impact on reducing energy consumption in the industry. Their no-code platform enables businesses to harness the potential of IoT and become experts in analysing their own data. Advanced AI technology makes energy efficiency a seamless process, conducting analyses and tests and suggesting solution.

Oliveex offers a seamless transformation of existing processes into fully digital, paperless and transparent systems. With a deep-dive approach tailored to specific sectors, they provide data analytics that address sector-specific pain points and offer actionable insights focused on quality, cost and performance indicators.

Sensemore specialises in data-driven solutions to optimise industrial operations. Their mission is to reduce unexpected machinery downtime by 90%, lower maintenance costs by 25% and extend equipment life by 20%. With advanced AI tools and a comprehensive platform, Sensemore supports a digital maintenance culture, achieving significant energy savings of 15% and contributing to a 10-15% reduction in the carbon footprint.

Shiratech-Knowtion specialises in predictive maintenance through advanced AI technology via their proprietary sensor unit. They offer a hybrid, non-intrusive solution that seamlessly integrates hardware and software. With three AI layers for optimal performance and results, they offer an all-in-one predictive maintenance platform to help businesses maintain efficiency and reduce downtime.

VIAR‘s REWO platform offers digital video work instructions, enhances efficiency and productivity of manufacturers. It preserves tacit knowledge, addresses the challenge of retiring workers and accelerates learning for skilled trade workers, providing an intuitive and ISO-compliant knowledge digitalisation solution. Trained with REWO, people retain three times more information, and the platform is four times faster than traditional documentation techniques.

Viking Analytics offers predictive maintenance for industrial companies using AI. Their core software, MultiViz, empowers industrial specialists to extract insights from process and asset data, enabling data analysis, annotations, and AI application deployment. With MultiViz Vibration, maintenance professionals and vibration analysts benefit from automatically generated priority lists, detecting abnormal behaviours, setting smart alarms, and identifying machines requiring inspection.