BonCode awards certification to Kepler Vision Technologies for Excellence in Software Quality
BonCode, a trusted leader in software quality measurement and analytics, has officially awarded a Certificate of Software Quality to Kepler Vision Technologies, a pioneer in AI-based care solutions. This milestone recognizes Kepler’s continued commitment to transparency, security, and performance in mission-critical environments such as elderly care homes and healthcare institutions.
The certification demonstrates that Kepler’s state-of-the-art Night Nurse AI software meets and exceeds industry standards of technical quality and software engineering craftmanship, ensuring that caregivers and healthcare providers can depend on its robust performance and trusted results.
“At Kepler, we are constantly pushing the boundaries of what AI can do to support healthcare professionals. Receiving this certification from BonCode gives us deeper insight into our software quality and validates our efforts to meet and exceed the demands of the sector,” said Harro Stokman, CEO of Kepler Vision Technologies.
““We are proud to support Kepler with objective insights that help maintain the integrity and robustness of their innovative solutions,” added Jan Willem Klerkx, CEO at BonCode. “This certification underlines our shared vision for a future where healthcare technology is not only smart, but also secure, scalable, and trusted.”
About BonCode
BonCode is an independent third party specializing in helping companies take control of large, custom-built software portfolios through objective, advanced source code analysis and software architecture evaluation by identifying hidden risks, reducing technical debt, and ensuring that your software structure is scalable, efficient, and aligned with business goals.
By bridging the gap between technical teams and decision-makers, we translate complex architectural and code-level insights into clear, actionable recommendations, fostering better collaboration across the organization. Executives receive an impartial view of the software’s overall health for informed decision-making, while developers gain a deeper understanding of both their code and the system’s architecture.
The achievement comes at a crucial time as AI adoption in healthcare continues to expand rapidly, making reliability and quality more important than ever.