Samp: Modernizing Industrial Asset Management

Samp is an AI-powered tool revolutionizing industrial asset lifecycle management by bridging the gap between legacy technical drawings and modern 3D reality captures. It streamlines modernization projects and long-term service contracts, significantly improving efficiency and reducing risks.

Features

• Connects outdated drawings with 3D reality: Seamlessly integrates legacy schematics with up-to-date 3D scans from various sources (laser scanners, smartphones, drones).
• Rapid inventory generation: Quickly generates comprehensive equipment inventories from facility scans.
• Improved data accuracy: Revalidates and updates existing technical diagrams against 3D scans, ensuring data accuracy and consistency.
• Enhanced collaboration: Enables teams to collaborate on consistent and engaging visual information, improving communication and workflow.
• Orphan equipment identification: Helps identify and address orphan equipment, preventing costly oversights.

Benefits

• Increased safety: Reduces risks associated with outdated and incomplete technical information.
• Improved auditability: Ensures accurate and readily available asset information for audits.
• Enhanced financial predictability: Provides better cost estimations and reduces project uncertainties.
• Longer-term business outlook: Improves long-term planning and decision-making.
• Streamlined service contracts: Improves service contract execution and reduces pre-visit requirements.
• Increased plant uptime: Minimizes downtime by facilitating proactive maintenance and repairs.

Use Cases

Samp is valuable for owners, operators, and contractors involved in engineering services across various stages of the industrial asset lifecycle. It is particularly useful for: modernization projects, long-term service contract management, and preventative maintenance planning.

Samp empowers industrial facilities to modernize their asset management, leading to significant improvements in efficiency, safety, and financial performance.