Best CMMS Software - Page 16

Bravio CMMS and Field Service Management Software

Bravio is a purpose-built field service management platform designed specifically for independent biomedical service providers. It helps small to mid-sized service teams manage their entire workflow—from service requests and preventive maintenance to asset tracking and invoicing—without relying on fragmented tools or spreadsheets. Unlike generic FSM software, Bravio is tailored to the unique needs of biomedical service operations. Teams can track equipment history, automate preventive maintenance schedules, assign and monitor service jobs in real time, and maintain compliance-ready documentation—all from a centralized system. With built-in inventory tracking and performance insights, Bravio enables service teams to reduce downtime, improve technician productivity, and deliver more reliable service to healthcare clients. Whether you're managing a growing team of technicians or scaling operations across multiple facilities, Bravio provides the operational visibility and control needed to run a modern biomedical service business.

Brifay

Brifay is an AI-assisted CMMS (computerized maintenance management system) built to simplify maintenance and facility management. What sets it apart: work requests are dictated by voice. Brio, the built-in AI assistant, transcribes, qualifies and prioritizes them automatically, cutting data entry for technicians and occasional requesters alike. The platform covers the full cycle — requests, work orders, scheduling, assets, preventive maintenance and cost tracking. It serves B2B organizations: industrial SMBs and mid-market companies, public bodies, property managers, healthcare and social-care facilities, and education, in France and internationally. The interface is available in five languages (English, French, German, Spanish, Portuguese). Brifay is free for up to 3 users, with paid plans for larger teams.

CalemEAM

Full-featured EAM/CMMS suite built with Open Source Technologies, and shipped with source code.

CALTIMS

Canary CMMS

Canary is an AI-native CMMS built for mid-market manufacturers. It captures how assets actually perform, why they underperform, and what that means for the rest of the business. The system goes beyond work order management to build a structured operational model of the facility, connecting asset performance to production impact, capital allocation, and delivery. Features include advanced reporting, AI-powered chat with machine manuals directly from work orders, custom automations, and the ability to build custom agents on top of your operational data. Canary starts with maintenance because that's where the pain is sharpest, but the platform is designed from day one to grow into procurement, production planning, quality, and workforce management.

CareOffice Industry

Cetaris

Cetaris is a fleet maintenance and management software solution that helps you a monitor, measure, and optimize your repairs. -Digitize work orders, preventive maintenance, and standard jobs -Centralize your maintenance data and report from one place -Increase warranty reimbursement by flagging warrantable parts and labor and generating claims -Manage and streamline part inventory -Integrate your business systems - connect to telematics, ERPs, and more

Average Rating: 4.5/5.0

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Citywide Maintenance

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CMMShere

comma CMMS

comma CMMS is a Web-Based Maintenance Management Software that Organizes, Schedules and Logs your Equipment Maintenance Activities

computerised maintenance management system

Computerised maintenance management system is enterprise software that automates facility operations and provides real-time monitoring. It allows maintenance teams to create and assign work orders instantly, track equipment status, and capture field updates via mobile apps with offline syncing. The system centralizes asset tracking and inventory management to avoid critical part shortages. Analytics offer reporting, compliance documentation, and audit trails, while AI predicts equipment failures for proactive maintenance. Machine learning optimizes task assignments and parts allocation using historical data. Integration with ERP systems, IoT sensors, and accounting software connects existing infrastructure. Security features include SOC 2 Type 2 certification, encryption, cloud redundancy, and audit logging. Implementation takes two to four weeks, with data migration and training support provided.

Computerized Maintenance Management System

SDPL CMMS is a Computerized Maintenance Management System from Swayatt Drishtigochar Pvt. Ltd. (SDPL), built for industrial maintenance teams. It replaces paper registers, spreadsheets and scattered follow-ups with one structured workflow: Request → Assessment → Planning → Work Order → Execution → Checklist → Closure → Reporting. Core modules: - Asset Management: a central register of equipment with maintenance history - Preventive Maintenance: scheduled PM plans that keep assets available and reliable - Calibration Management: tracks calibration due dates and records - Work Orders: create, assign, carry out and close maintenance jobs, with full traceability - Maintenance Requests: a central request portal where shop-floor teams raise issues - Spare Parts Management: tracks spare inventory used against maintenance work - Maintenance Planning: plans and schedules maintenance work and the people doing it - Digital Checklists: operators and technicians run checklists digitally, and problems they find can become work orders - AI-Assisted Checklist Generation: builds checklists, including safety and Kiken Yochi (KY, hazard-prediction) checklists, from set requirements Reports and Analytics: shows maintenance performance and supports audit readiness - Administration and Access Control: role-based access for users across the plant What sets it apart: Most maintenance software stops at the software. SDPL CMMS comes from an industrial technology company that also builds IoT sensors, edge gateways and machine connectivity (MODBUS, OPC-UA, MQTT, FANUC FOCAS, Siemens S7 and more). That means the CMMS can connect with: - production monitoring - energy monitoring - predictive maintenance - ERP systems Maintenance decisions can then draw on actual machine data, not just manual inputs. Who it's for: Maintenance, engineering and plant heads at: - automotive OEMs and Tier 1/Tier 2 suppliers - injection molding and CNC machining companies - aerospace and defense manufacturers - process industries Outcomes it targets: - Less unplanned downtime - Better equipment availability, MTBF (mean time between failures) and MTTR (mean time to repair) - Lower maintenance costs -Digital records that support quality and compliance audits Deployment: You can buy it as standalone CMMS software, or as part of a complete Industry 4.0 deployment with SDPL hardware and machine integration.

(Computerized Maintenance Management System) suite for facility operations

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