WAKU Care logo

WAKU Care

by WAKU Robotics · Since 2019
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ActiveAvailable globallyCloud
Quick facts
VendorWAKU Robotics
Year launched2019
StatusActive
LocationBautzner Landstraße 45, Radeberg, Saxony 01454, DE
Countries servedGlobal
Languages2
IntegrationsN/A
Free tierN/A
Free trialN/A
Contact salesN/A

About WAKU Care

WAKU Care is a CMMS software from WAKU Robotics that supports maintenance processes for efficient asset management. It combines predictive maintenance, data insights, and a ticket system so users can manage their operations more effectively. WAKU Care also includes a digital device file and maintenance schedules, allowing organizations to keep track of their assets comprehensively. This solution is designed for various use cases within different industries, enabling teams to proactively address maintenance needs and improve workflow efficiency. By providing real-time data and insights, WAKU Care helps organizations make informed decisions about their maintenance strategies. Key capabilities: predictive maintenance data insights ticket system digital device file maintenance schedules Best for: maintenance teams that need effective asset management and simplified maintenance processes.

WAKU Care stands out as a powerful, modern solution designed to transform maintenance and service operations for companies managing machinery, robotics, or multi-site equipment fleets. Its core strength lies in its ability to bring all maintenance processes—reactive, preventive, and predictive—into one unified digital platform. With real-time machine monitoring, guided work orders, and centralized asset histories, the software helps teams drastically reduce downtime and boost productivity. Users benefit from integrated spare parts management, ensuring that technicians always have the materials needed to complete repairs without delay. Another major advantage of the platform is its IoT and data-driven approach. Real-time alerts, early anomaly detection, and predictive maintenance give organizations deeper visibility into equipment performance. For teams struggling with knowledge gaps, the AI-powered knowledge management tools help preserve expert insights and standardize service quality across locations. However, the software’s extensive capabilities also come with challenges. Implementation requires time and careful onboarding, and smaller teams might find the system more robust than necessary for their scale.

Pros & Cons

Pros
  • The software significantly reduces unplanned downtime through predictive maintenance and real-time monitoring.
  • It improves asset availability by centralizing maintenance schedules, work orders, and machine data.
  • The platform increases team productivity by digitizing workflows and eliminating manual maintenance processes.
  • Multi-site and multi-customer support allows companies to manage large distributed operations efficiently.
  • AI-powered knowledge management helps retain critical know-how and supports technicians with SOPs and process guidance.
Cons
  • Setup may require substantial initial configuration due to the wide range of modules and integrations.
  • Smaller teams may find the platform’s advanced features more than they need for basic maintenance tasks.
  • Full functionality depends on reliable internet connectivity, which may challenge remote facilities.
  • Companies without IoT-enabled machines may not benefit fully from the predictive analytics features.
  • Implementation can require significant time investment to digitize existing processes and records.

Features

Key features

Intelligent Maintenance & Asset Management

Centralizes all maintenance tasks, machine histories, schedules, and work orders for both preventive and reactive maintenance.

Global Spare Parts Management (GSPM)

Optimizes spare part availability with multi-site inventories, stock-level automation, and direct integration into maintenance workflows.

Smart Field Service Management

Provides guided work orders, resource planning, and full digital documentation for technicians across multiple customer sites.

IoT & Machine Data Insights

Connects machines for real-time monitoring, predictive maintenance, alerting, and interactive data visualization.

AI-Powered Knowledge Management

Stores SOPs, files, communication, and skills information to preserve know-how and eliminate knowledge gaps.

Mobile & Multi-Site Operation

Enables technicians and managers to work efficiently from any device across different plants and customers.

Scalable, All-in-One Platform

Modular system allowing CMMS, EAM, FSM, IoT analytics, and spare part management to be used separately or combined.

Additional features

Work Order Management

Creates, assigns, and tracks work orders digitally for efficient maintenance execution.

Cases (Tickets)

Centralized ticketing for support events linked to assets, spare parts, and field service tasks.

Central Asset Records

Maintains a complete digital device file including histories, documentation, and machine states.

Maintenance Schedules & Templates

Standardizes routines through repeatable checklists, schedules, and SOP templates.

Multi-Site Inventories

Tracks spare parts across multiple warehouses and service locations.

Intelligent Stock-Level Management

Automates reorder levels and ensures availability of critical components.

Material, Consumables & Supplier Data

Central hub for managing all materials, vendors, and accounting-related information.

Spare Part Replacements

Suggests or tracks alternative spare parts for faster repairs.

Assisted Resource Planning

Tools for optimizing technician scheduling and assignment.

Support Tickets with Asset Links

Connects customer issues directly to specific devices and spare parts.

Customer & Asset Management

Manages customers, their locations, and assigned device fleets.

Templates & SOP Library

Stores standardized processes for consistent service quality.

Flexible & Scalable APIs

Supports REST, MQTT, OPC UA and more for easy integration.

Real-Time Monitoring & Alerting

Delivers live machine status updates with automated alerts for anomalies.

Predictive & Condition-Based Maintenance

Uses data to anticipate failures and reduce unplanned downtime.

Interactive Machine Data Visualization

Displays graphs and dashboards of machine performance and health.

File & Knowledge Management

Consolidates documents, communication, training content, and know-how.

Mobile Operation

Allows teams to work from mobile devices with full functionality.

Cross-Customer & Multi-Vendor Support

Serves operations managing multiple clients and robotic fleets.

Pricing

Free trial
Free version
Request a quote
Promo Offer

Countries & Languages

Global
Countries served
2
Interface languages
1
Billing currencies

Interface languages

EnglishGerman

Billing currencies

🇪🇺EUR

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