QPillars creates AI agents that allow scientists to operate laboratory instruments using natural language, ensuring human oversight at all times. We are developing MCP (Model Context Protocol) servers for scientific equipment, which facilitate standardized AI connectivity with any laboratory hardware. Our team, composed entirely of National Olympiad medalists in Informatics, Mathematics, or Physics, functions as an integrated engineering unit within biotech and medtech firms. We provide software for instrument control, real-time data platforms, and agent-based AI that simplifies intricate lab procedures into straightforward conversations. Our accomplishments include over 18 months of collaboration with Lino Biotech AG (instrument control), delivering remote monitoring solutions for Ridgeview Instruments AB (LigandTracer), and creating LiquidBridge - an AI solution that enables control of liquid handlers via chat.