Qpillars
In biotech and medtech, research often slows down not because of the science, but because of the software running behind it. Many teams deal with fragmented systems, outdated architectures, and poorly integrated tools that reduce efficiency and reliability. Scientists lose precious time managing workarounds instead of focusing on running experiments. At QPillars, we address this problem by combining deep domain expertise in life sciences software with strong problem solving skills - all engineers in our team are Olympiad medalists in Informatics, Mathematics, or Physics. This unique mix allows us to approach complex challenges with precision and reliability. Our expertise covers three key areas- Instrument control: Developing robust software layers to manage dedicated hardware - Remote monitoring: Enabling scientists and operators to securely access systems remotely - Sandboxed AI solutions: Building MCP servers to integrate AI safely into scientific workflows We often act as an embedded development team, integrating directly into client workflows to accelerate feature delivery, reduce the load on internal teams, and ensure smooth collaboration between software and science groups. Trusted by industry leaders including Lino Biotech, and LigandTracer, QPillars has proven that robust, reliable scientific software dramatically improves both research efficiency and innovation capacity. Our mission is simple: help scientists and engineers work more efficiently by delivering software tools they can trust every day.
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Stefan Dascalescu
Head of Artificial Intelligence · Information Technology
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Tatiana Marian
Chief Operating Officer · General Business & Management
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Tatiana Vascan
Co-founder Business Developer · Other
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