| Hydrogen Pipeline Inspection and Assessment Tools | UGV · FIELDED |
| └─ | Specialized in-line inspection tools and assessment systems designed for hydrogen pipeline integrity, including detection of axial cracking and hydrogen embrittlement risks in existing grids being converted for future fuels. Highlighted in 2026 content on 'Importance of Axial Crack Detection in Future Fuels Pipelines'; validated through dedicated hydrogen pipeline case studies. Requires new sensing and analytics configurations for hydrogen embrittlement and axial cracking sensitivity. |
| MFL Data Fusion Analytics | Software · FIELDED |
| └─ | Advanced data fusion technique for Magnetic Flux Leakage (MFL) inspection data, combining multiple sensor inputs to improve detection accuracy and integrity assessment. Referenced in 2025 blog content as 'AI-driven data fusion (MFL)'; positioned as a compounding data/AI advantage through expanding datasets and validation programs. |
| ILI Performance Validation and Benchmarking System | Software · FIELDED |
| └─ | Validation and benchmarking platform for assessing in-line inspection tool performance, accuracy, and sensitivity across different pipeline conditions and future fuel applications. Featured in 2025 trade articles and newsletters; includes rigorous testing protocols for hydrogen and CO2 pipelines. ROSEN is pursuing standards leadership through published measurable ILI performance metrics for H2/CO2 and consensus guidance. |
| Future Fuels Integrity Assessment and Roadmap Service | Software · FIELDED |
| └─ | Consulting and assessment service providing roadmaps, feasibility studies, and conversion guidance for transitioning existing pipeline infrastructure to hydrogen, CO2, and ammonia service. Covers hydrogen, CO2, and ammonia pipeline conversion; includes standards engagement and performance validation for new mediums in existing grids. Aligned with 2025-2026 energy transition focus including hydrogen storage conversion feasibility. |
| Non-Intrusive Pipeline Assessment Systems | UGV · FIELDED |
| └─ | Alternative inspection methodologies for unpiggable pipelines and complex geometries that cannot accommodate traditional in-line tools, enabling assessment without pipeline entry. Referenced in 2025 trade article on unpiggable pipelines in Australia; addresses access constraints with alternative inspection methods for non-standard geometries including water-filled vertical cavern lines. |
| In-Line Inspection (ILI) Robots for Pipeline Integrity | UGV · FIELDED |
| └─ | Purpose-built in-line inspection robots designed to operate in pipelines for axial crack detection, corrosion mapping, and integrity assessment. Capable of operating in unstructured, unknown, or confined environments beyond traditional piggable pipelines. Purpose-built for unstructured, unknown, or confined environments explicitly beyond traditional piggable pipelines. Part of ROSEN's Autonomous Robotics technology field; integrates in-house battery systems, perception/navigation, and computer vision modules. |
| Robotic Manipulation and Interaction System | UGV · PROTOTYPE |
| └─ | In-house developed robotic arms and hands for measurement and inspection tasks in confined and harsh environments, enabling tactile and interactive inspection capabilities. In-house developed robotic arms and hands for measurement and inspection tasks in confined and harsh environments; listed as a core R&D pillar within ROSEN's Autonomous Robotics technology field. |
| Magnetic Flux Leakage (MFL) Data Fusion System | Software · FIELDED |
| └─ | AI-driven data fusion platform for MFL inspection data analysis, combining multiple sensor inputs for enhanced integrity assessment and threat detection. AI-driven; referenced in 2025 blog content as a key differentiator for integrity assessment. Positioned as part of ROSEN's compounding data/AI advantage strategy. |
| Data Fusion and Analytics Platform | Software · FIELDED |
| └─ | AI-based analytics and data fusion platform that integrates multi-sensor inspection data (including MFL) to extract actionable insights and support integrity decision-making. Integrates multi-sensor inspection data including MFL; part of ROSEN's end-to-end diagnostic solutions and decision support stack. Supports integrity loops (PDCA: plan, do, check, act, set). |
| Integrity Management Decision Support System | Software · FIELDED |
| └─ | End-to-end diagnostic solutions and decision support platform implementing PDCA (plan, do, check, act, set) methodology for asset integrity lifecycle management and performance optimization. Positioned as foundational to ROSEN's value proposition; modular to adapt to various operator needs and regulatory regimes. Supports lifecycle phases from planning through performance optimization and lifetime extension. |
| Future Fuels Integrity Assessment Service | Software · FIELDED |
| └─ | Comprehensive service offering roadmaps, assessments, and conversion feasibility studies for hydrogen, CO2, and ammonia pipeline integrity in existing infrastructure grids. Covers hydrogen, CO2, and ammonia; includes hydrogen storage conversion feasibility studies per 2025 blog content. Addresses axial cracking sensitivity, material compatibility, and new failure modes specific to future fuel media. |
| Specialized Rechargeable Battery System | Sensor · FIELDED |
| └─ | In-house developed and manufactured rechargeable batteries specified for safety, lifecycle performance, and weight optimization in harsh, mission-critical robotic deployments. In-house developed and manufactured; described as an atypical vertical integration enabling tighter performance, safety, and packaging controls. Listed as a core R&D pillar within ROSEN's Autonomous Robotics technology field. |
| Training and Education Programs | Software · FIELDED |
| └─ | Comprehensive training and education offerings for competency building in integrity management, inspection practices, and safe adoption of new autonomous inspection technologies. Part of ROSEN's end-to-end service stack; supports customer stickiness and safe adoption of new integrity practices. Identified as a strategic lever for competency development and workforce upskilling. |
| Training and Education Platform | Software · FIELDED |
| └─ | Comprehensive training and education offerings for competency building in pipeline integrity, inspection practices, and safe adoption of autonomous inspection technologies. Supports competency building in pipeline integrity, ILI interpretation, data analytics, and safe autonomous system deployment. Identified as a strategic investment area consistent with services-led revenue models. |
| Non-Intrusive Pipeline Assessment System | UGV · FIELDED |
| └─ | Alternative inspection methodology for unpiggable pipelines and complex geometries that cannot accommodate traditional in-line tools, enabling assessment without pipeline entry. Referenced in 2025 trade article on unpiggable pipelines in Australia; applicable to non-standard geometries such as water-filled vertical cavern lines. |
| CO2 Pipeline Inspection Tools | UGV · FIELDED |
| └─ | In-line inspection systems configured for CO2 pipeline integrity assessment, addressing phase behavior challenges and new failure modes specific to CO2 service in existing infrastructure. Addressed in 2025 blog content on 'the role of ILI for CO2 pipelines'; requires specialized sensing and analytics for CO2 phase behavior challenges and CO2-specific failure modes in existing infrastructure. |
| Hydrogen and CO2 Pipeline Conversion Feasibility Assessment Service | Software · FIELDED |
| └─ | Consulting and assessment service providing roadmaps, feasibility studies, and performance validation for converting existing pipelines to hydrogen and CO2 service. Includes hydrogen storage conversion feasibility per 2025 blog content; involves standards engagement and ILI performance validation for new mediums. Aligned with ROSEN's 2025-2026 energy transition strategic focus. |
| CO2 Pipeline Inspection System | UGV · FIELDED |
| └─ | In-line inspection system for CO2 pipelines with specialized sensing and analytics to address phase behavior challenges and CO2-specific failure modes. Addressed in 2025 blog content; requires new validation regimes and sensing/analytics configurations for CO2 phase behavior and CO2-specific failure modes. |
| Robotic Manipulation and Interaction Systems | UGV · LIMITED |
| └─ | In-house developed robotic arms and hands for measurement and inspection tasks in confined and harsh environments, integrated with in-line inspection platforms. In-house developed; listed as a core R&D pillar within ROSEN's Autonomous Robotics technology field. Integrated with in-line inspection platforms for tactile and interactive inspection in confined and harsh environments. |
| In-Line Inspection (ILI) Pipeline Robots | UGV · FIELDED |
| └─ | Purpose-built in-line inspection robots designed to operate in pipelines for axial crack detection, corrosion mapping, and integrity assessment. Capable of operating in both standard piggable and unpiggable pipeline environments. Operates in both standard piggable and unpiggable pipeline environments; part of ROSEN's Autonomous Robotics technology field. Integrates in-house battery systems, perception/navigation, and computer vision. |
| Mining Inspection and Monitoring Systems | UGV · FIELDED |
| └─ | Range of inspection and monitoring services and systems for mining assets, providing data capture and diagnostics across various asset classes in mining operations. Part of ROSEN's adjacent market expansion beyond oil and gas; portfolio breadth varies by asset class within mining operations. |
| ILI Performance Validation and Benchmarking Services | Software · FIELDED |
| └─ | Comprehensive validation and benchmarking services for in-line inspection tool performance, including rigorous testing protocols and data interpretation for hydrogen and CO2 pipelines. Featured in 2025 trade articles; ROSEN is pursuing standards leadership by publishing measurable ILI performance metrics for H2/CO2 and driving consensus guidance with regulators and operators. |
| Future Fuels Integrity Assessment and Roadmap Services | Software · FIELDED |
| └─ | Consulting and assessment services for hydrogen, CO2, and ammonia pipeline integrity, including conversion feasibility studies, standards engagement, and performance validation for new mediums in existing grids. Covers hydrogen, CO2, and ammonia; includes hydrogen storage conversion feasibility per 2025 blog content. Addresses axial cracking, hydrogen embrittlement, CO2 phase behavior, and new failure modes in existing grids. |
| Mining Inspection and Monitoring System | UGV · FIELDED |
| └─ | Range of inspection and monitoring services and systems for mining assets, including data capture and diagnostics across various asset classes. Part of ROSEN's adjacent market expansion; portfolio breadth varies by asset class within mining operations. |
| Mining Inspection and Monitoring Solutions | UGV · FIELDED |
| └─ | Range of inspection and monitoring services for mining assets, providing data capture and diagnostics across various asset classes in mining operations. Part of ROSEN's adjacent market expansion beyond oil and gas; portfolio breadth varies by asset class within mining operations. |
| Training and Competency Development Program | Software · FIELDED |
| └─ | Comprehensive education and training platform for developing operator competency in integrity management, ILI interpretation, data analytics, and safe autonomous system deployment. Covers ILI interpretation, data analytics, integrity management, and safe autonomous system deployment. Identified as a strategic investment area for customer stickiness and safe adoption of new integrity practices. |
| Perception, Navigation, and Planning System | Software · FIELDED |
| └─ | Advanced software system incorporating machine learning and neural networks for autonomous localization, navigation, and path planning in unstructured and unknown environments. Listed as a core R&D pillar within ROSEN's Autonomous Robotics technology field; uses machine learning and neural networks for localization in unstructured, unknown, and confined environments. |
| Hydrogen Pipeline Inspection System | UGV · FIELDED |
| └─ | Specialized in-line inspection system for hydrogen pipelines with enhanced axial crack detection sensitivity and analytics tailored for hydrogen service conditions and embrittlement risk assessment. Validated through dedicated hydrogen pipeline case study referenced on ROSEN's site; highlighted in 2026 content on axial crack detection for future fuels pipelines. Requires enhanced sensitivity for hydrogen embrittlement risk assessment. |
| Computer Vision Detection and Classification System | Software · FIELDED |
| └─ | AI-driven image-based detection, classification, and sizing system for identifying and characterizing defects, anomalies, and integrity threats from inspection imagery. Listed as a core R&D pillar within ROSEN's Autonomous Robotics technology field; AI-driven image-based system for identifying and characterizing defects and integrity threats. |
| Future Fuels Integrity Roadmaps and Conversion Feasibility Assessments | Software · FIELDED |
| └─ | Advisory and assessment services for hydrogen, CO2, and ammonia pipeline conversion feasibility, including standards engagement, performance validation, and de-risking of transitions in existing grids. Includes hydrogen storage conversion feasibility per 2025 blog content; involves standards engagement and ILI performance validation. Addresses axial cracking, hydrogen embrittlement, CO2 phase behavior, and ammonia-specific failure modes. |
| Data Analytics and Decision Support Platform | Software · FIELDED |
| └─ | AI-based analytics platform for interpreting inspection data, benchmarking, validation, and providing decision support through integrity management loops (plan, do, check, act, set methodology). Featured in 2025 trade articles on applying data analytics to complex integrity questions including geohazards vs. corrosion; part of ROSEN's end-to-end diagnostic solutions stack. |
| Autonomous Navigation and Perception System | Software · PROTOTYPE |
| └─ | Machine learning and neural network-based system for localization, navigation, and planning in unstructured, unknown, and confined environments without reliance on GPS or standard infrastructure. Listed as a core R&D pillar within ROSEN's Autonomous Robotics technology field; designed for unstructured, unknown, and confined environments. |
| AI-Based Data Analytics and Decision Support Platform | Software · FIELDED |
| └─ | Comprehensive software platform for interpreting and acting on integrity data at scale, including ML/AI-supported analytics, data fusion, benchmarking, and validation for pipeline and asset integrity management. Positioned as an end-to-end diagnostic solutions and decision support stack; featured in 2025 trade articles on complex integrity questions. Supports pipeline and asset integrity management at scale. |
| Unpiggable Pipeline Assessment System | UGV · FIELDED |
| └─ | Non-intrusive pipeline assessment solution for unpiggable pipelines and complex geometries where traditional in-line inspection is not feasible. Referenced in 2025 trade article on unpiggable pipelines in Australia; applicable to non-standard geometries such as water-filled vertical cavern lines and terminal loading lines. |
| Specialized Rechargeable Battery Systems | Sensor · FIELDED |
| └─ | In-house developed and produced rechargeable batteries specified for safety, lifecycle performance, and weight optimization in harsh-environment robotic deployments. In-house developed and produced; described as an atypical vertical integration enabling tighter performance, safety, and packaging controls in mission-critical deployments. Listed as a core R&D pillar within ROSEN's Autonomous Robotics technology field. |
| Offshore Subsea Inspection Robots | UUV · FIELDED |
| └─ | Specialized robots for internal and external inspection, maintenance, and monitoring of offshore risers, flowlines, and subsea structures in confined-space and subsea environments. Case work demonstrated in corrosion and crack detection on offshore risers and flowlines; integrates confined-space and subsea robotics capabilities. Part of ROSEN's adjacent market expansion beyond onshore pipeline integrity. |
