req:ai is a web-based requirements management platform from Sweden’s Qrendo AB, positioned as “professional project requirements management with AI support.” The official site emphasizes that it is based on the ISO 15288 standard. Its core value proposition is shortening the requirements development cycle, improving requirement quality and team collaboration, and serving organizations with demanding regulatory and information security needs.
Based on publicly available information, req:ai’s AI capabilities focus on the requirements engineering stage. It can automatically generate structured, clear, and traceable requirements from guiding or mandatory documents, while adding verification criteria, validation criteria, and test cases. The official site claims that in a PoC with a large organization, the time from kickoff to completed results was reduced by about 90%. However, the website does not disclose the underlying model, deployment approach, accuracy evaluation, or human review mechanisms, making it hard to assess its stability when handling complex industry documents, ambiguous requirements, or multilingual scenarios.
The product supports both cloud and on-prem deployment. A news post on the official site says that Trafikverket chose to run req:ai locally in its own IT environment to combine AI capabilities with data control, confidentiality, information security, and traceability. This is a major advantage over ordinary SaaS AI tools, especially for sensitive sectors such as government, defense, transportation, and engineering. That said, the public pages do not specify details about APIs, integrations with third-party ALM/PLM/project management tools, import/export formats, or its permission system.
The official site does not disclose pricing, plans, free quotas, or a self-service trial. It only offers options to book a demo, request a whitepaper, or submit a contact form. As a result, procurement appears to follow an enterprise sales process, and evaluation may depend on vendor demos and a PoC.
Its strengths are its vertical focus on requirements management, emphasis on ISO 15288, verifiable requirements, test cases, full traceability, and support for on-prem deployment. Its drawbacks are the limited public information: the model, interfaces, pricing, and Chinese-language support are all unclear. It is better suited to mid-sized and large organizations with mature requirements engineering processes, regulatory compliance pressure, and data security requirements. It is less suitable for small teams that simply want a low-cost way to try AI-assisted requirements writing.
Access from mainland China is unknown, and payment methods are not disclosed. If you plan to procure it, you will likely need to contact the vendor directly and confirm network access, contracting, deployment, and data compliance arrangements. Comparable requirements management or ALM tools include Jama Connect, IBM DOORS Next, Polarion ALM, Helix ALM, ReqView, and Visure Requirements.
⚠ This review is compiled from public sources and does not constitute a purchase recommendation. Verify all facts on the vendor's official site. Verify on qrendo.nu official site.
qrendo.nu is an Sweden AI Apps provider. TG4G tracks its product information, an overall rating of 6.0/10, and a China-accessibility score of Workable. Click "Visit Official Site" to reach qrendo.nu directly.