Automotive and Manufacturing

Sovereign intelligence for Industry 4.0: Where visual precision meets agentic AI.

In an era where software-defined vehicles (SDV) and global supply chain disruptions set the pace, DEON transforms your workspace from a passive work surface into an active strategic partner. As a universal data aggregator, DEON connects isolated data silos – from CAD models and ERP live data to complex R&D documentation – on an infinite, high‑performance canvas.

With the new AI integration DEON Holistic Intelligence we offer professionals along the entire value chain a tool that reduces cognitive load, stops the massive demographic loss of knowledge and radically accelerates decision-making through agentic support. We put people back in the driver's seat by maximizing the bandwidth of interaction between human expertise and artificial intelligence instead of hiding it in a black box.

Application areas of DEON across the industrial value chain

DEON covers the entire breadth of industrial core processes and offers specific solutions for various departments:

  • Research and Development (R&D): The platform serves as a virtual engineering space where teams collaborate on digital twins, embed drone footage into factory plans, and annotate high-resolution simulation data.
  • Product Engineering Process (PEP): Benefits from Microsoft 365, Jira, and Azure DevOps being embedded live in the board, visually connecting requirements and design drafts without redundant copies.
  • Operations and shopfloor management: DEON replaces static pinboards with interactive dashboards that visualize live KPIs (OEE) from MES systems and prioritize critical error messages in real time through automated structuring (MCP).
  • AI-powered Knowledge Management: Addresses the “Knowledge Capture Race” – expert knowledge is visually extracted and made semantically searchable by the DEON AI kernel, drastically shortening onboarding of new employees.
  • Supply Chain and Procurement: Enables visual analysis of global supply flows and structured supplier evaluation.
  • Quality Assurance: Supports visual fault remediation, where engineers via viewport analysis link technical drawings with live inventory data from SAP to minimize downtime.

Use Cases

Knowledge preservation in the 'Knowledge Capture Race': Stopping the demographic brain drain

Challenge

The automotive and manufacturing industry faces an existential challenge: the massive outflow of decades-long experiential knowledge due to the retirement of the baby-boomer generation.

When experienced engineers and technicians who have fine-tuned production lines over decades leave the company, valuable tacit knowledge often disappears with them: that ‚diagnostic instinct‘, which is not written in any manual. Conventional methods such as text logs or confusing folder structures fail to capture complex visual and process-related relationships.

For successors it is often impossible to promptly dig through mountains of files and unordered email threads to understand the logic behind past decisions or technical setups. This skill gap becomes a bottleneck for overall operational excellence and endangers the productivity of entire sites.

Solution

DEON solves this problem with a visual and AI-powered knowledge transfer approach. Departing employees ‚empty‘ their knowledge unstructured on a DEON board – from email screenshots and handwritten sketches to process diagrams and embedded live documents.

The DEON AI kernel analyzes these visual relationships semantically and recognizes the layout like a human. Successors no longer have to work manually through documents, but simply ask the assistant DAIA simply:

  • ‚What are my specific tasks on line X?‘
  • ‚What was this test setup intended for?‘

The AI provides precise answers and uses visual grounding: interactive reference buttons make the workspace zoom straight to the exact source on the board, for example into an embedded photo of a test bench or a specific Jira ticket.

This transparent approach prevents ‚hallucinations‘, builds trust in the data foundation and enables an intuitive, verifiable knowledge transfer that reduces the onboarding time of new specialists by up to 60% reduced and the corporate memory persistently secures.

Multimodal technical analysis: Engineering acceleration in R&D

Challenge

Engineers in technical development today work in an extremely fragmented tool landscape. Critical information about a component or an experimental setup is distributed across various silos:

  • High-resolution CAD screenshots are stored in local folders
  • Excel bill of materials on SharePoint
  • Technical specifications in PDFs
  • Current market pricing or availabilities in web databases such as SAP Fiori or Google Sheets

Manual consolidation of this information for a solid technical analysis or a design review is time‑consuming and error‑prone. Often the overview is lost when technical details are discussed in linear chat threads or endless email chains, while the reference to the actual visual object – the drawing or the prototype – is constantly interrupted.

This leads to delayed innovation cycles and unnecessary errors in the early phase of product development.

Solution

DEON acts here as a universal data aggregator and visual analysis layer. Engineers can zoom into technical drawings or photos of experimental setups and ask the AI via the Viewport analysis (‚Eye‘-function) ask: ‚Explain to me this setup based on the visible electronics‘.

Thanks to multimodal capabilities, the AI understands the visual image including diagrams and sketches. At the same time, DAIA accesses data from live embedded web browsers. If the engineer asks, for example, about the cost of a specific component (e.g., ‘AS5600’), the AI extracts the price in real time from the embedded Google spreadsheet or the SAP interface and links it directly to the technical drawing.

Graph Chat and Visual Branching

Complex discussions are represented over the ‚Graph Chat‘ as a visual tree on the board. Engineers can open separate branches (Branching) for various aspects such as ‚Toxicity‘, ‚Cost‘ or ‚Patents‘ without diluting the main discussion context. This ‚Prompt Hygiene‘ ensures highest answer quality.

The results are persistent DEON objects that can be collaboratively finalized and exported directly as editable PowerPoint for board presentations – a massive efficiency gain for the entire engineering workflow.

Digital Shopfloor Management: The 'Self-Building' Situation Center

Challenge

In modern production environments, overwhelming amounts of data are generated daily:

  • Hundreds of error tickets
  • Maintenance reports
  • Shift logs
  • Post-its from brainstorming sessions

Shift supervisors often spend hours manually sorting, prioritizing, and preparing this information for regular communication. The traditional analog shop floor board reaches its limits here, as it cannot process live data and does not involve remotely participating experts (e.g., from maintenance or engineering).

In dynamic situations, such as an unexpected halt of the production line, valuable time is lost searching for logs, opening dashboards, and understanding the current status of the architecture. The gap between automated background processes and human decision-making leads to costly Downtime (Downtime) and inefficient meetings.

Solution

With DEON, shop floor management becomes a self-updating situation center. About the Model Context Protocol (MCP) can actively control tools in DEON and manipulate content. An n8n workflow monitors the production systems and automatically pushes critical tickets onto the board.

A production manager now simply gives the command: ‚Group all error reports from the painting line and color critical bugs red‘. The AI semantically analyzes the texts and automatically performs formatting as well as spatial arrangement.

War Room Mode

In the event of a machine failure, DEON acts as a 'War Room':

  • The AI highlights the affected component in the schematic architecture diagram
  • Pulls the last 50 error logs as text cards beside it
  • Opens a web browser in parallel with the live status dashboard

When the team enters the virtual space, the diagnosis is visually prepared. Through the REST API and agent workflows, structured measures can be created directly as tickets in Jira.

This saves valuable time in operational meetings, creates immediate visual clarity over critical topics and minimizes reaction time for disruptions through a seamless Human-Agent-Collaboration.

Claim Management & Compliance in Large Projects

Challenge

Large projects in plant and vehicle construction are characterized by massive change order claims and strict compliance requirements. Project managers often face the problem of having to prove who approved which change when, in order to fend off unjustified claims.

However, the relevant evidence is buried in thousands of logs on SharePoint, informal agreements in MS Teams chats, and countless emails. In internal audits or compliance investigations (e.g., when suspecting policy violations), departments must reconstruct internal communication flows extremely quickly.

The constant switching between different M365 silos makes it difficult to recognize patterns and relationship networks between people and documents. In a linear chat history, complex analyses often lose the overview, as important intermediate results disappear in the scroll history.

Solution

DEON solves this complexity problem through the synergy of Microsoft Copilot and visual structuring. The project manager uses DEON as a strategic dashboard and instructs the integrated copilot: ‚Search all mentions of delay of component X in the logs and e‑mails of Q3‘.

By grounding on the Microsoft Graph, relevant information is extracted and visualized in DEON as native, editable objects.

Visual Evidence Chains

Instead of a ‚wall of text‘, visual chains of evidence emerge: the user drags the findings onto a timeline in the workspace and visually connects the email commitment with the later construction plan. Contradictions are examined in ‚Graph Chat‘.

With ‚Visual Branching‘ , specific aspects of a suspected case (e.g. an email attachment) can be explored in depth in a separate branch without losing the strategic thread of the overall analysis. Every statement made by the AI remains 100% traceable to the original source via visual links.

The result is a persistent, visual knowledge map that reveals complex relationship networks and can be directly transferred into legally robust documentation. This ensures full data sovereignty within the protected corporate space (on-premises or sovereign cloud).

Contact us with any questions or book a demo directly to learn more about the possible applications of DEON in your organization