Orcanos vs. AlisQI

Orcanos is a unified eQMS and ALM platform designed specifically for medical device companies that need to manage regulated product development and quality operations together. The platform helps R&D, Quality, Regulatory, and Operations teams work from a single source of truth instead of relying on disconnected documents, spreadsheets, and siloed systems. Orcanos connects design control, quality management, document control, risk management, requirements, testing, validation, training, and audit evidence across the full medical device lifecycle. Its eQMS capabilities support quality processes such as document approvals, revision control, electronic signatures, training automation, CAPA, complaints, audits, nonconformances, and compliance records. Its ALM and design control tools help teams manage user needs, design inputs, risks, mitigations, verification, validation, DHF documentation, and automated impact analysis. Orcanos supports key medical device compliance needs, including ISO 13485, EU MDR, ISO 14971, FDA expectations, and 21 CFR Part 11 requirements. The platform is built for adaptive compliance, allowing teams to configure workflows, forms, fields, status flows, permission structures, and approval processes without heavy coding. Document control features help automate lifecycle routing, publishing, archiving, read-and-understand training tasks, and audit trails for every revision. Risk management becomes a live process by linking hazards, requirements, mitigations, design changes, and verification evidence in real time instead of maintaining static Excel files. Orcanos also includes Ask Paul, an AI-powered assistant designed to help users work more efficiently across regulated quality and development activities. With rapid implementation, traceability, configurable workflows, and centralized compliance data, Orcanos helps medical device teams reduce regulatory friction, stay audit-ready, and bring safer products to market faster.

AlisQI is a Quality Management platform built for process and batch manufacturers who want operational control without adding administrative overhead. Where many QMS platforms were designed around document storage and event tracking, AlisQI was architected as a data-first system. Quality, laboratory, and production data are structured and connected in a single operational backbone. This enables teams to see deviations earlier, understand performance trends in context, and act before issues escalate into waste, rework, or customer complaints. The platform includes modular capabilities across document control, training, deviations, CAPA, audits, risk management, supplier quality, SPC, and EHS. These capabilities are deployed through focused, ready-to-use Solvers that combine workflows, logic, dashboards, and analytics to address specific operational challenges without unnecessary scope. Because the system is built on structured, connected data, manufacturers can apply practical AI directly inside their workflows. This includes automated extraction of supplier COA data without predefined templates, conversational access to quality records, intelligent rule generation, and pattern recognition across incidents to strengthen corrective action effectiveness. Solvers are production-ready from the outset and evolve as products, processes, or sites change. Improvements do not require custom development or large IT programs, allowing organizations to modernize quality step by step. Manufacturers across chemicals, plastics, packaging, food and beverage, automotive, and industrial sectors use AlisQI to reduce firefighting, increase predictability, strengthen compliance, and turn quality data into operational intelligence.