Every asset counts on a busy manufacturing floor, maintenance operation or in a motorsports facility. A missing part can stall a job, drive up costs, or affect production. The challenge is in tracking every asset in real time, and Codegate’s Lime handles it effortlessly. By connecting RFID tags, sensors, handhelds and fixed readers to enterprise systems, Codegate’s Lime acts as a middleware to track each component for precise locating. Teams always know where assets are and when they will be needed. What sets Lime apart is how it works with the systems teams already use. Instead of replacing them, it adds a smarter, faster layer that makes platforms more reliable and capable. Every asset is logged in a complete audit trail, which is crucial for compliance in defence, government and other regulated sectors. Paired with Codegate’s eVantage Manager, Lime adds even more confidence. Systems are continuously monitored and validated, freeing teams from second-guessing the data and allowing them to focus on higher-value work. “Codegate’s core business is software development and systems integration, so joining up data sources is in our DNA,” says Graham Fenton, managing director. One View, Zero Gaps Asset management tools perform well once they have accurate data. The real challenge is collecting that data without burdening teams with time-consuming manual tasks. Many systems still rely on manual data entry, which leads to sporadic updates and gaps in information. The longer the delay between asset movement and data entry, the greater the risk of misplaced or unaccounted for items. Lime solves this problem by connecting to various automated data collection technologies, including RFID, ultrawideband, Bluetooth Low Energy and barcodes. It then standardises the incoming data in a central SQL database, making it ready for integration with enterprise systems through a robust API. This approach allows organisations to deploy different detection technologies in various environments while unifying the results in a cohesive view.

The value of data is universally acknowledged across industries and governments. Yet, turning data into clear, actionable insight remains a challenging task. Information is often trapped in silos or stripped of context by rigid pipelines, leading to delays, fragmented insights and missed opportunities. Almato’s Bardioc was created to break this cycle. The semantic data platform supports data-driven business models and AI applications, allowing organisations to transform complex datasets into a foundation for clarity, action and growth. “With Bardioc, clients gain strategic advantage where others still struggle with fragmented insights,” says Christian Sauter, CEO. For over two decades, Almato has pioneered digital innovation, expertly transforming intricate business processes into seamless digital operations for leading enterprises and public sector organisations. Clients benefit from its deep expertise and decades of experience in delivering complex digitalisation projects. It enables them to shift from reactive operations to proactive value creation without the long delays typical of enterprise transformation. Almato is a leading provider of a semantic data platform that powers data-driven business models and advanced AI applications. It also offers a unique reasoning engine for agentic AI. Turning Complexity into Clarity Bardioc introduces a new way of creating value and actions from data: semantically structured, instantly usable and built to evolve. At its core is an AI reasoning engine that applies human logic to draw inferences and make informed decisions. Each stage is transparent and auditable, embedding compliance, documentation and accountability. The platform’s ontology-first architecture treats data as knowledge, ready for reuse across the enterprise. A single semantic layer connects and contextualises information from diverse systems, removing the need for repeated extraction and transformation. Once a dataset is linked to this layer, it becomes available for new use cases, AI models and operational systems without additional integration. Insights generated in one department enrich the entire organisation’s knowledge base, enabling faster and more accurate decisions across all functions while reducing IT overhead. The platform offers full support for domain-specific languages (DSLs), enables organizations to extend or evolve their ontologies at any time, and provides built-in processes to ensure continuous semantic development. Leveraging the semantic layer, it organises decision logic into modular knowledge items and links them across systems for robust, context-aware automation..