Maintenance and asset management platform Limble announced its Winter Release with three new AI-powered capabilities designed to help maintenance and operations teams build cleaner data, clearer asset plans and faster workflows.
The release focuses on AI that helps workers streamline asset data creation, improve planning and safely integrate maintenance data with enterprise systems and AI tools.
"Our customers consistently say that AI is only important if it is saving them and their teams time as they work through maintenance, operations and asset planning," Limble SVP of Product & Technology Michael Scappa said. "This release applies AI where it matters most: Lowering the burden on maintenance and operations teams while creating clean, reliable data and insights that extend the lifecycle of assets.”
Limble
The Winter Release expands Limble’s platform at the intersection of computerized maintenance management systems (CMMS) and enterprise asset management (EAM) with the following capabilities:
Asset Snap
Asset Snap automates asset creation by turning photos of machinery and equipment in manufacturing lines or facilities into structured, validated asset records in Limble. Using AI-powered image and text recognition, Asset Snap extracts and standardizes key details such as manufacturer, model and serial number at the time of capture, helping teams onboard new and legacy equipment up to 80% faster.
At the same time, it eliminates manual entry—one of the most common sources of data errors in maintenance systems—resulting in more trustworthy asset databases that support accurate reporting, audits and proactive maintenance planning.
Resource Planning
Resource Planning adds AI-powered workload and scheduling recommendations and provides maintenance leaders with a single, real-time view of both scheduled and on-demand work.
Based on internal tests of similar workflows, teams can expect to save 10 to 15 hours per week on scheduling, along with improved predictability and capacity visibility.
Model Context Protocol (MCP)
MCP connects Limble to enterprise systems and AI tools, enabling secure access to trusted maintenance data for deeper insights and faster business decisions.
For developers, MCP provides a standardized, secure way to integrate Limble data into AI clients like Cursor and Claude Code, accelerating integration and reporting workflows.
For reliability engineers, asset planners and maintenance leaders, MCP enables access to unique data and insights, directly through these LLMs and other AI tools, answering questions such as which assets drive maintenance costs or where technician capacity is constrained—helping improve both daily operations and the decisions driving the lifecycle of assets.
Availability
All Winter Release features are currently available to Limble customers in the U.S. today, with a global rollout planned for completion in summer 2026.
