Founded in 2019 and headquartered in Leinfelden-Echterdingen, the AI-driven startup BDiM (Big Data in Manufacturing GmbH) is pursuing financially robust investors under a self-administration insolvency procedure. Its AiDAN product suite performs real-time analysis of CNC machines to guarantee complete monitoring of every workpiece. By seamlessly integrating Industry 4.0 solutions into existing production lines, AiDAN minimizes scrap, automates quality documentation, enhances process transparency, and ultimately delivers measurable competitive benefits to manufacturers.
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Esslingen Court Appoints Dr Braun, BDiM Pursues Self Administration
The Esslingen District Court approved the restructuring managements request and designated Dr. Tibor Daniel Braun from IBK Illig Braun Kirschnek as provisional supervisor. Established in 2019 and based in Leinfelden-Echterdingen, BDiM is conducting its self-administration process through open dialogues with prospective investors, ensuring transparency every step. The company engages experienced restructuring advisors, including Dirk Eichelbaum and Stefan Mairiedl, to guide the negotiation process, secure funding, and optimize its restructuring strategy.
AiDAN uniquely understands CNC machines and ensures quality control
Portraitbild von Dirk Eichelbaum (Foto: Bild von dhmp Restrukturierung)
Stefan Mairiedl emphasizes that AiDAN uniquely provides deep insights into CNC-driven industrial machinery by combining AI models with real-time data. Its AI-powered quality assurance module generates actionable measurements, including dimensional tolerances and surface finish metrics, ensuring consistent performance across production runs. Through adaptive calibration and continuous monitoring, the solution offers an affordable inspection capability, delivering one-hundred-percent verification of every manufactured part without disrupting existing workflows or impacting machine throughput.
AiDANs Seamless Integration Earns BDiM Two Prestigious Industry Awards
AiDAN’s cloud-based architecture seamlessly integrates with existing manufacturing controls, which led to BDiM earning the Industrie-4.0-Award Baden-Württemberg and the Dr.-Rudolf-Eberle-Preis. These honors recognize the companys innovative approach to enhancing legacy CNC and robotic systems by embedding intelligent monitoring capabilities. By transforming data streams into actionable insights, AiDAN elevates quality assurance beyond manual inspections, pioneering an automated framework that maintains strict tolerances and drives continuous improvement across diverse production environments globally.
AiDAN Modules Integrate with Controls, Deliver Streamlined Analysis Tools
The modules AiDAN viewer, signature, and quality integrate seamlessly with control systems from Siemens, Fanuc, Bosch Rexroth, and Heidenhain, as well as OPC UA and MQTT protocols. They robustly capture high-frequency process data streams from machine operations, feeding them into preconfigured analytical tools. This enables manufacturers to monitor performance metrics in real time, detect anomalies rapidly, and optimize production parameters without setup or customization, accelerating troubleshooting and improving overall efficiency.
AiDAN Calculates Real-Time Dimensions And Surface Roughness With Signatures
Following an initial calibration phase, AiDAN measures part dimensions including diameters, lengths, and surface roughness in real time. By applying machine learning algorithms to high-frequency sensor data, the system immediately flags anomalies against tolerances. Each workpiece is then assigned a unique digital signature, creating a verifiable trace of production quality. This automated process significantly reduces machine setup times, material waste, and manual inspection workloads, delivering efficiency gains across manufacturing lines.
Automotive suppliers gain productivity through seamless QA automation documentation
In the automotive and supply sectors, comprehensive traceability combined with automated quality assurance delivers significant operational advantages. Continuous monitoring of production processes enables early detection of deviations, reducing scrap rates and unplanned downtime. Automated validation ensures consistent part specifications, streamlining workflows and effort. As a result, manufacturers can optimize throughput, achieve higher yield, maintain consistent quality standards, and benefit from predictable production costs that support improved financial planning and positioning.
BDiM Salaries for Twelve Staff Secured Until January 2026
Through the insolvency allowance scheme, wages and salaries for BDiM’s twelve permanent employees are fully funded up to the end of January 2026. This financial safety net ensures that specialized manufacturing expertise remains within the organization, preserving critical operational knowledge during reorganization. By securing staff remuneration in this manner, management can focus on strategic restructuring tasks without disruption and uphold employee morale as project timelines progress uninterrupted with renewed confidence.
AiDAN Provides Real-Time Manufacturing Oversight, Expertise, Seamless Industry Integration
BDiMs AiDAN solution merges deep manufacturing expertise with real-time analysis and seamless adoption in Industry 4.0 environments. By ensuring total oversight of each part and leveraging machine learning, it reduces waste and speeds up production cycles. Prestigious awards highlight its innovation, and secured employee payroll guarantees operational continuity. Manufacturers gain lower setup times, decreased scrap rates and fully documented quality control, delivering metrics and cost advantages for investors and clients.
