MaintStar GIS
What a relief to know the location and condition of your assets right when you need it! See patterns, trends, and relationships that are important to your organization. It just makes sense to identify potential problems before they happen. With Geographic Information Systems (GIS) you can locate your asset and see its condition visually. When using GIS for Land Management, you can access critical geographic data instantly. Turn data into information and information into insight! When your city owns thousands of assets, it takes tight coordination to keep everything in working order. Your field teams juggle a never-ending list of work orders, visual reports and maintenance tasks—plus occasional emergency repairs. To stay efficient, they must locate assets quickly, view their condition, establish their rating, enter work orders on demand, and upload reports in real-time.
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SmartCBM
SmartCBM is Allied Reliability's comprehensive condition-based maintenance solution designed to detect component defects that could lead to unplanned downtime or unnecessary expenditures. By integrating predictive maintenance technologies, process data, statistical process control, data analytics, and specific failure-mode-driven repair recommendations, SmartCBM helps design, implement, execute, and optimize your maintenance strategy, ensuring the uptime and reliability of your equipment. The platform supports various data collection methods, including manual route-based and sensor-based approaches, as well as inline and wireless periodic monitoring, allowing for a holistic and cost-effective solution tailored to each asset. Additionally, SmartCBM offers a suite of proprietary tools for monitoring and reporting on asset conditions, enabling the development of maintenance strategies that mitigate design-failure modes and maximize equipment reliability and availability.
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Palladyne IQ
Palladyne IQ is a closed-loop autonomy software platform that adds human-like reasoning, adaptability, and autonomy to industrial robots, cobots, and other robotic platforms. It enables robots to observe, learn, reason, and act, processing data locally (“edge computing”) using multimodal sensor inputs (vision, LiDAR, radar, acoustic, etc.), allowing machines to perceive their environment, learn new tasks from a few human-guided demonstrations (often just 1–5), and dynamically adapt to changes or unexpected conditions. Rather than rigid pre-programmed routines, robots powered by Palladyne IQ can autonomously determine optimal actions in real time and complete complex, variable tasks such as pick-and-place, parts sequencing, product assembly, quality-control inspection, surface preparation (grit blasting, sanding, hydroblasting), and maintenance operations.
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Grit
Put code migrations and dependency upgrades on autopilot. Grit has generated tens of thousands of successful changes for beta customers. Grit uses machine learning and static analysis to auto-generate pull requests for cleaning up technical debt. Without Grit, developers spend 33% of their work time on maintenance. Use Grit’s declarative syntax to define your own idioms. Grit detects dozens of common sources of technical debt and lets you fix them with an automated pull request in a single click. Write powerful AST-aware queries to find and fix antipatterns in your codebase. Grit runs on every pull request to hold the line on migrations and prevent sliding backward.
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