Frequently asked questions

Rcalls is a cloud-based software platform that helps companies manage product recalls, non-conformities, and quality issues in a structured way. It automates data collection, traceability, and root-cause analysis, providing insurers and manufacturers with verifiable risk insights.

Rcalls is designed for manufacturing SMEs, particularly in automotive, electronics, and other sectors where product quality and traceability are critical.

Unlike traditional QMS software, Rcalls connects quality performance directly with insurance outcomes. It enables real-time, data-driven underwriting, helping reduce premiums while improving operational transparency. Rcalls also requires no installation, no training, and no upfront fees — it’s cloud-native and ready to use immediately.

Yes. Rcalls supports workflows aligned with ISO 9001 and related standards, helping companies structure their audits, corrective actions, and risk assessments according to recognized quality principles.

Rcalls complements existing QMS tools by integrating risk-based insights and insurance metrics. It provides structured, timestamped data that insurers can use to validate your operational quality and adjust premiums more accurately.

Yes. Rcalls can serve as your first digital quality management platform. It provides ready-to-use templates for audits, 8D reports, and root-cause analysis, allowing you to start managing issues immediately.

Absolutely. Even without recall insurance, Rcalls helps reduce operational risk, improve traceability, and demonstrate compliance — which can strengthen future insurance applications or negotiations.

By collecting structured data on non-conformities and corrective actions, Rcalls provides insurers with verifiable evidence of your quality performance. This transparency reduces perceived risk, enabling insurers to offer lower premiums.

Beyond cost savings, Rcalls improves collaboration between quality, compliance, and insurance teams. It supports faster problem resolution, fewer claims, and better decision-making based on data.

No installation is required. Rcalls is entirely cloud-based and accessible through any browser — simply log in and start using it.

No formal training is needed. Rcalls is designed with an intuitive interface and guided workflows. Our support team also provides onboarding assistance if needed.

Rcalls’ pricing is based on a share of the insurance premium savings achieved — ensuring alignment between your results and costs. It’s renewed annually and scales with company size.

The cost varies by company risk level: – Low-risk companies: around 0.02% of annual revenue – Medium-risk companies: around 0.05% – High-risk companies: around 0.08% This pricing model makes Rcalls accessible without upfront investment or installation costs.

Each market has different levels of exposure and local regulatory requirements. For example, selling to the US exposes companies to a greater risk for product liability claims and financial losses, which can significantly increase the premium. 

Every product is different. 

The best way to estimate your exposure to risk is to evaluate how safety-critical your product is for end consumers. For instance, an automotive brake manufacturer will typically face much higher risk compared to a producer of non-critical interior components. 

A digital quality-management system increases transparency and provides insurers with more reliable information in case something goes wrong. It demonstrates the level of control your company has over product quality, which may reduce your risk profile and improve insurability. 

We always recommend obtaining the exact premium amount from your finance team or by contacting your insurance broker. 

If you prefer to proceed without this information, you may use a general benchmark: insurance premiums for product liability and recall policies typically range from 0.1% to 0.5% of company revenue, depending on the industry and risk level. Once you complete the form, you will receive a personalized email with an estimate and tailored recommendations.