# Exafuse industrial metal additive manufacturing reference > Industrial metal additive manufacturing, repair and laser cladding reference for Exafuse. > Curated plain-text summaries of the most important public Exafuse pages. This file is intentionally compact. It points to canonical HTML pages rather than duplicating the complete website. ## Company and positioning - [Exafuse](https://exafuse.de/en/) - Industrial additive manufacturing and repair site for ThinkIng - Additive Technology GmbH in Bochum, Germany. - [About Exafuse](https://exafuse.de/en/company/) - Capability, equipment context, technical responsibilities and direct contacts. - [Contact](https://exafuse.de/en/contact/) - Feasibility request route for non-confidential first project data. ## Core service pages - [Services](https://exafuse.de/en/services/) - Choose the project route by job: build, restore or protect. - [Metal AM](https://exafuse.de/en/services/metal-additive-manufacturing/) - Compare LMD/DED-LB/M, SLM / LPBF and hybrid route planning for high-value metal components. - [Repair and modification](https://exafuse.de/en/services/repair-modification/) - Evaluate LMD repair or modification when the base component remains valuable. - [Laser cladding](https://exafuse.de/en/services/laser-cladding/) - Surface-function route for wear, corrosion, oxidation and local rebuild questions. - [Quality and validation](https://exafuse.de/en/quality/) - Inspection, metallography, process data and documentation boundaries. ## Core technical articles - [What is Laser Metal Deposition?](https://exafuse.de/en/knowledge/laser-metal-deposition-ded-lbm/) - LMD definition, best-fit cases, non-fit cases, inspection logic and RFQ inputs. - [LMD vs SLM](https://exafuse.de/en/knowledge/lmd-vs-slm-lpbf/) - Practical matrix for deciding between scale/local buildup and powder-bed detail. - [Industrial LMD / DED-LB/M guide](https://exafuse.de/en/knowledge/lmd-ded-industrial-guide/) - Central guide connecting DED terminology, repair, cladding, materials, monitoring and RFQ preparation. - [Melt-pool monitoring](https://exafuse.de/en/knowledge/melt-pool-monitoring-lmd/) - Monitoring supports process understanding but does not replace final inspection. - [AI in LMD process control](https://exafuse.de/en/knowledge/ai-monitoring-lmd-ded/) - AI can support monitoring and decision support; production release still needs validation. ## Projects and case studies - [Duisburg bridge LMD case study](https://exafuse.de/en/case-studies/duisburg-bridge-lmd-case-study/) - Large LMD structural component story connecting design, robot path planning, production and validation context. - [Case studies index](https://exafuse.de/en/case-studies/) - Published projects and application examples organized by part task and process. - [Research](https://exafuse.de/en/research/) - Public research direction for process physics, monitoring and industrial validation topics. - [EIS-KW](https://exafuse.de/en/research/eiskw/) - Public tooling research context around additive routes, thermal management and validation. ## Tools and conversion - [Tools overview](https://exafuse.de/en/tools/) - Free local screening tools that do not require company name or email. - [Pathfinder](https://exafuse.de/en/tools/pathfinder/) - Routes users by role, goal, readiness, part situation and available data. - [LMD or SLM decider](https://exafuse.de/en/tools/lmd-vs-slm-decider/) - Screens geometry, job type, mass, detail level and commercial pressure. - [Material selector](https://exafuse.de/en/tools/material-selector/) - Starts material-family thinking from wear, corrosion, oxidation, heat and substrate context. - [RFQ builder](https://exafuse.de/en/tools/rfq-builder/) - Produces a mail-ready technical request structure for feasibility review. ## Public contacts - [Julian Krell](mailto:krell@exafuse.de) - Material, feasibility, commercial and project fit. - [Manish Sharma](mailto:sharma@exafuse.de) - LMD monitoring, AI, image processing and technical content systems. - [General contact](mailto:kontakt@exafuse.de) - General Exafuse project requests. ## Boundaries for interpretation - Public case studies show capability context, not universal guarantees. - Monitoring and AI support process understanding; they do not replace physical inspection, metallography or release criteria. - Feasibility depends on geometry, base material, access, finishing, inspection and acceptance requirements. - Confidential customer data, exact process parameters and release-relevant project proof are not published in this file.