CORAL GABLES, Fla., Jan. 22, 2025 /PRNewswire/ — Qualified Data Systems (QDS), a leader in Software Assurance, Cybersecurity, and Data Science solutions, proudly announces its spin-off from BioTeknica, becoming an independent company. This strategic move positions QDS to focus more sharply on innovation and growth in the fast-evolving HealthTech industry.
For over 20 years, QDS has been a vital part of BioTeknica’s success. The spin-off reflects a shared vision, enabling both companies to concentrate on their core strengths and strategic goals.
A New Chapter for QDS
As an independent entity, QDS will:
“This is an exciting milestone for QDS,” said Armin Torres, CEO of Qualified Data Systems. “With our autonomy, we can deliver even greater value to our clients while building on the strong foundation we developed with BioTeknica.”
Commitment to Excellence
QDS remains fully committed to its clients, employees, and partners. Current projects and services will continue uninterrupted, and the company aims to strengthen its relationships while advancing innovation.
“Our clients are at the core of everything we do,” added Torres. “This spin-off empowers us to push boundaries and make an even greater impact.”
Looking Ahead
QDS’s independence aligns with its vision of improving patient outcomes and operational efficiency for its clients. From enhancing cybersecurity for medical devices to optimizing data strategies, QDS is ready to tackle the challenges of the future.
About Qualified Data Systems (QDS)
Qualified Data Systems (QDS) provides industry-leading services in Software Assurance, Cybersecurity, and Data Science, empowering organizations in healthcare, life sciences, and regulated industries with innovative, technology-driven solutions.
For more information, visit https://qualifiedsystems.com or follow us on https://www.linkedin.com/company/qualifieddatasystems/
Media Contact
Priscilla Torres
Marketing and Communications Manager
Qualified Data Systems (QDS)
ptorres@qualifiedsystems.com | (305) 444-1212
SOURCE Qualified Data Systems
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