INDEC services // enhance your competitive edge
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INDEC services // enhance your competitive edge
Smarter benchmarking with AI – powered by GOBENCH
At INDEC, we utilze AI as a powerful tool to make benchmarking faster, smarter and more effective. From patent management and PCB bill of materials (PCB-BOM) analysis to generating high-quality 3D models, we develop AI solutions that help speed up data processing, reduce manual work and improve accuracy.
AI also enhances the teardown process by automating key steps like image cropping, object recognition, part identification in databases and 3D reconstruction from turntable photography. Large Language Models (LLMs) support tasks such as counting LEDs or classifying components – helping users collect and analyze data more efficiently.
With AI-powered tools, we simplify user interaction and improve the overall experience. By integrating deep learning methods such as computer vision, multimodal embeddings, neural radiance fields and open-set segmentation, we bring cutting-edge AI directly into practical, user-friendly applications.
At INDEC, we believe AI doesn’t replace human expertise – it amplifies it, enabling better decisions and greater productivity in benchmarking and business workflows.

AI LAB – enhance performance with intelligent benchmarking
AI LAB transforms benchmarking from a manual task into a strategic advantage. The platform automatically analyzes internal and external data, identifies relevant KPIs and compares them to industry standards. This delivers clear insights, reveals improvement potential and enables data-driven decision-making – efficiently and in real time.
Deeper hardware insights through AI-driven teardown analysis
Gain faster, cleaner hardware insights by automating component recognition with AI. As part of the teardown process, AI LAB converts product parts into data vectors and builds a comprehensive database. It then uses this database to automatically identify components, significantly reducing manual effort and improving data quality. This ensures consistent, high-quality data for future analysis and enables faster benchmarking across hardware products.
3D modeling – high-precision comparisons for realistic digital replicas
Integrating 3D models into benchmarking enables more precise and efficient product design analysis. Using 360-degree image recognition and AI-powered evaluation, AI LAB generates high-quality 3D models that provide detailed representations of products. These models support accurate comparisons of design features, material choices and manufacturing processes across competitor products. By automating the creation of 3D models, AI LAB helps companies make data-driven decisions, optimize product development and strengthen their market position.
AI-powered PCB-BOM analysis for faster, cleaner data
Leverage AI for data entry to achieve significant time savings and cleaner data. AI LAB improves efficiency and ensures consistent, high-quality results for future analyses by automating component recognition. As part of the teardown process, AI stores product parts as data vectors and creates a comprehensive database. AI LAB can then leverage this database to recognize components automatically, streamlining the entire process. This enables accurate component matching even from incomplete datasets or product images – a key advantage in teardown analysis.
Patent analysis – proactive monitoring of intellectual property
Automated patent analysis during the benchmarking process helps companies avoid infringements by comparing product components on a visual level. During teardown, individual parts are analyzed and matched against those in other products to identify potential patent conflicts early. At the same time, companies can protect their own innovations by detecting products that may use similar technologies or designs. With AI support, patent analysis enables proactive monitoring, reduces legal risk and strengthens competitive positioning.