INDEC services // enhance your competitive edge
At INDEC, we go beyond software solutions to support your competitive edge. Join our Knowledge Hub to access comprehensive services, support and networking events that empower you to excel in your industry.

INDEC services // enhance your competitive edge
AI-supported benchmarking with GOBENCH
At INDEC, we are focusing on AI-powered systems to make benchmarking and business processes more efficient and effective. We are developing solutions that use Artificial Intelligence for tasks such as patent management, PCB bill of materials (PCB-BOM) analysis, and the automated generation of 3D models. These applications help accelerate data processing, improve accuracy, and reduce manual effort.
AI also plays a key role in enhancing the teardown process by enabling automated image cropping, object recognition, 3D reconstruction from turntable photography, and part identification in databases. Large Language Models (LLMs) assist in detecting features like counting LEDs or classifying components, supporting users in data acquisition and analysis.
AI-powered tools like chatbots further improve user interaction. Our work integrates deep learning methods – including computer vision, self-supervised learning, multimodal embeddings, neural radiance fields, and open-set segmentation – into practical, user-centered applications.
We believe that AI is not a replacement for human expertise, but a powerful tool to increase productivity and decision-making in benchmarking and business workflows.
AI LAB
AI LAB helps companies enhance their performance through intelligence benchmarking. The platform automatically analyzes internal and external data, identifies key metrics, and compares them to industry standards.
This gives businesses clear insights, highlights areas for improvements and supports data-driven decision -making efficently and in real time. With AI LAB, benchmarking becomes a strategic advantage rather than a manual effort.
PCB-BOM – Smarter Bill of Materials Benchmarking Through Data-Driven Analysis
Integrating AI into the benchmarking process significantly streamlinest he creation of PCB-BOM's. AI LAB analyzes existing design and market data, automatically identifies suitable components, and compares them against benchmarkdata such an prices, availability, and technical specification. The result: faster BOM creation, reduced costs, and less stain of teams. What was once a time consuming task becomes a smarter, data-driven workflow.
PCB Tear-Down – Advanced Component Recognition for Deeper Hardware Insights
Through AI integration in the PCB-Tear Down process, product parts are formatted into data vectors to build a comprehensive database. AI LAB leverages this database to automatically recognize components, streamlining in the entire process. The result is significant time savings in documentation, cleaner data and the ability to identify data graps or outliers. Additionally, it enables data-driven dicision-making by providing accurate, real time insights. By automating comopnent recognition, AI LAB improves efficency and ensures high-quality, consistent data for future analysis.
Patent Management – Streamlined Monitoring of Intellectual Property
Patent management in the benchmarking process helps companies to avoid patent infringements by automatically comparing product parts on an optical level. During the disassembly process, the components of a product are compared with those of other products in order to detect possible patent infringements at an early stage. At the same time, companies can protect their own patents by identifying similar products that may use the same technologies or designs. Patent management with AI support enables proactive patent monitoring, which reduces legal risks and strengthens a company's competitive position.
3D Model – High-Precision Comparisons for Realistic Digital Replicas
In benchmarking, integrating 3D models enables more precise and efficent product design analysis. Through 360-degree image recognitio and AI-powered evaluations, high-quality 3D models are created, providing a detailed reprensentation of products. These models can be used to compare design differences, material choices, and manufacturing processes with competitor products. AI LAB automates the creation of these models, allowing companies to make data-driven decisions, optimize their products and enhance their market position.