Qontiv vs Qualsys EQMS

Qontiv is a cloud manufacturing execution system for regulated discrete manufacturers, combining production execution with quality engineering. It includes OEE tracking, electronic work instructions, statistical process control, scheduling, maintenance management, inventory and lot or serial genealogy, and dashboards. OEE uses machine signals to calculate Availability, Performance, and Quality, with downtime reasons, shift trends, Pareto analysis, and Six Big Losses breakdowns. Operators can follow instructions with measurement inputs, e-signatures, and photo evidence. The edge gateway connects through OPC-UA and MQTT; Qontiv says a first machine can be online in under two hours without middleware. Scheduling includes a drag-and-drop Gantt view, equipment utilization, and constraint-aware sequencing. The AI Copilot answers production-data questions and detects anomalies. Shipped connectors include Oracle EBS and Oracle Fusion with write-back, NetSuite and SAP S/4HANA Cloud with import only, and MaintainX with bidirectional sync. Qontiv is in a pre-production design-partner phase. It has no free trial; a four-week pilot costs $10,000 fixed, credited against a first annual contract signed within 90 days of the review.

Ideagen Qualsys is now known as Ideagen Quality Management, a cloud quality management platform for distributed teams and remote operations. It connects document control, CAPA, audits, inspections, training and competency management, supplier quality, and regulatory intelligence. Mobile-first smart forms support offline data capture, and the Android and iOS app supports incident reporting, auditing, and documentation. Workflows list ISO 9001, ISO 13485, 21 CFR Part 11, AS9100, and IATF 16949. CAPA workflows support root cause analysis and predictive insights; audit tools include automated evidence, adaptive checklists, collaboration, and findings traced to actions. Ideagen says the platform can standardize processes across sites and regions while allowing regional flexibility. Its Hub connects quality, EHS, compliance, and risk through shared data and audit trails. Every Mazlan AI output requires human review and approval. The platform lists approval workflows, electronic signatures, role-based access, version history, read acknowledgements, and completion tracking. Pricing is on request; the pages direct visitors to request a demo and do not state trial terms.