Chemicals and Pharmaceuticals

Sovereign visual intelligence for the entire value chain – from molecular research to networked production.

Introduction

The architecture of efficiency in a highly regulated industry

The European chemical and pharmaceutical industry is facing a radical transformation. DEON acts as the central nervous system for companies that not only manage complexity but want to translate it into competitive advantages. By creating a universal visual aggregator, DEON overcomes the fragmentation of classic IT silos and offers a platform on which data from research, production, and compliance can be collaboratively processed in real-time.

Thanks to the integration of sovereign AI capabilities, DEON enables a new form of cognitive work: Complex research data is semantically accessed through Graph Chats, while the Metabrowser concept places live data from SAP, PowerBI, and laboratory systems directly into the visual context. This not only ensures a drastic reduction in time-to-market, but also guarantees absolute control over your intellectual property through local hosting options and bidirectional encryption.

Application areas of DEON in value-creating chemical and pharmaceutical infrastructure

From the laboratory to the shop floor: An integrated ecosystem

In the active ingredient research (R&D), DEON serves as a virtual war room where 3D molecular structures, patent searches and live experimental data are aggregated on an infinite canvas. Researchers use the platform to overcome the crisis of data reusability by having AI agents transform unstructured lab reports into searchable knowledge graphs. In clinical development, DEON accelerates the creation of complex approval dossiers under time pressure by having cross-functional teams work simultaneously on evidence strategies such as the PICO framework.

Within the chemical production DEON transforms shopfloor management. Through the native integration of PowerBI dashboards and SAP data streams, key figures are no longer viewed statically, but optimized directly in the spatial context of the plant visualization. Maintenance benefits from predictive models that identify anomalies via computer vision and display diagrams and repair instructions directly on the device via AR interfaces. In the area of Supply Chain & Logistics, DEON enables real-time monitoring of global supply chains and simulation of scenarios to minimize risks in raw material shortages. Finally, DEON secures strategic knowledge management: In the event of personnel changes or relocations, the AI-supported preparation of project histories ensures that valuable IP does not disappear in mailboxes, but remains part of the corporate memory. This creates a Smart Enterprise in which decisions are made on the basis of visual evidence rather than fragmented tables.

Use Cases

Accelerated drug discovery through visual AI aggregation

Challenge

The paradox of data fragmentation in research

The cost of bringing a new drug to market has exceeded the critical mark of two billion US dollars, while success rates in early phases stagnate. A main reason for this is the lack of reusability of research data: an estimated 65% of all experiments have to be repeated because the data is stored in isolated silos or its original context has been lost. Researchers often spend more time manually searching through unstructured data graveyards than on actual innovation. Moreover, the pressure to increase efficiency often leads to the use of insecure 'Shadow AI', which massively jeopardizes intellectual property, as sensitive molecular data can end up in public clouds.

Solution

Synthesis of artificial and human intelligence in the Visual Workspace

DEON solves this problem by establishing a sovereign AI-based knowledge graph directly on the canvas. Researchers drag and drop documents, clinical studies, and 3D structures onto the workspace. The integrated AI understands the spatial arrangement and semantic content of these data streams. Using the Graph Chat Function

The AI not only provides answers but also links directly to the sources in the Workspace. Through Conversational Branching, researchers can deepen detailed questions about chemical synthesis pathways without losing the context of the main investigation. Since the DEON AI Hub enables the connection of local LLMs, all sensitive IP data remains within the company's protected area. This integrated approach accelerates the identification of binding sites by up to 30% and can significantly shorten the time to reach clinical Phase 1.

Efficient Management of Joint Clinical Assessment (JCA)

Challenge

The Regulatory Bottleneck of EU Approval

With the introduction of the Joint Clinical Assessment (JCA) in the EU, the timeframe for pharmaceutical companies has drastically narrowed. Teams often have only 100 days to submit a complex dossier according to the PICO framework (Population, Intervention, Comparator, Outcomes). The challenge lies in the fact that experts from Clinical Development, Regulatory Affairs, and Market Access must develop coherent lines of argument under extreme time pressure. Traditional tools like email chains or static documents fail to handle this complexity, as the overview of the current state of the evidence strategy is quickly lost, and inconsistencies in the data can lead to costly delays in market approval.

Solution

Agile Compliance Control in the Virtual War Room

DEON transforms the approval process into a highly agile workflow. In a central JCA workspace, all relevant clinical evidence, competitive analyses, and PICO combinations are visualized. Through the metabrowser concept, Microsoft 365 documents and SharePoint folders are integrated 'live' – changes to a study document are reflected on the board within seconds. Cross-functional teams work simultaneously on the argumentation chain, while AI support helps generate drafts for the Clinical Study Report (CSR) and checks data consistency across thousands of pages.

The visual structuring enables project managers to capture the progress of individual PICO threads at a glance and identify bottlenecks immediately. The AI acts as a compliance guardian, ensuring that all arguments are prepared in accordance with the EU AI Act and internal governance checklists. This leads to a reduction in start-up times for clinical trials by up to 20% and ensures rapid market access in a highly competitive regulatory environment.

Smart Factory & Predictive Maintenance in Chemical Production

Challenge

High Downtime Costs and Complex Shopfloor Processes

In the chemical industry, where continuous production processes are the norm, unplanned downtime can cause costs to run into millions. Traditional shopfloor management often still relies on the manual 'smiley principle', where status messages are laboriously transferred from systems like SAP or PowerBI to physical or digital whiteboards. This time delay means that problems are often only identified when they have already led to production failures. In addition, technicians on site often lack direct access to complex documentation or live sensor data, which unnecessarily prolongs repair times and increases safety risks.

Solution

Real-time operationalization through visual dashboard integration

DEON becomes the cockpit of the Smart Factory, by visualizing live data streams directly on the shop floor. PowerBI dashboards and SAP Fiori applications are embedded as interactive elements in the workspace. Status changes (green, yellow, red) are automated based on real-time metrics, allowing the morning meeting to start problem-solving directly, instead of wasting time on data maintenance. The function 'The Eye' (Viewport Analysis) enables AI to detect anomalies in live camera images of production and trigger an alarm in the DEON workspace immediately.

During maintenance operations, technicians use tablets or AR glasses connected to the DEON project. They can zoom into a photo of the defective component, whereupon the AI automatically identifies the spare part in the ERP system and checks its availability. The combination of predictive maintenance and immediate access to technical drawings reduces repair times by up to 50%. Thus, DEON becomes the bridge between the IT level and the physical plant, sustainably enhancing operational excellence.

Strategic knowledge assurance during expert transitions

Challenge

The impending loss of IP due to the shortage of skilled workers

The European chemical sector is facing a massive demographic upheaval, which is resulting in the loss of decades of experiential knowledge. When highly specialized experts leave the company, undocumented process optimizations, informal networks, and deep domain knowledge often flow away. Conventional knowledge transfer methods such as exit interviews or the handover of file folders fall short, as the context of the information is lost. For successors, it is almost impossible to find strategically relevant information in a timely manner amidst the flood of emails, sketches, and unstructured plans, which can paralyze the innovative capacity of entire departments.

Solution

AI-supported knowledge transfer and cognitive archiving

DEON acts as a dynamic corporate memory that revolutionizes knowledge transfer. During the offboarding phase, all relevant project data of an expert is aggregated in a DEON workspace. The sovereign AI analyzes these unstructured data sets and automatically creates a structured project history. Via the Graph Chat, new employees can ask questions to the 'knowledge' of their predecessor: 'Why was the recipe for Polymer X changed in 2024?' or 'What regulatory concerns were there in Project Y?'

The AI finds the answers in old emails or handwritten notes on the board and presents them in their original context. This not only prevents redundant research but also enables an onboarding time that is shortened by weeks. By using sovereign infrastructures like IONOS or StackIT, it is ensured that this critical core knowledge never leaves the controlled area of the company. DEON makes implicit knowledge explicit and thus protects the most valuable asset of the industry: intellectual property.