QPillars builds AI agents that let scientists control lab instruments through natural language - with humans always in the loop. We are building MCP (Model Context Protocol) servers for physical scientific instruments, enabling standardized AI connectivity across any lab hardware. Our team - all National Olympiad medalists in Informatics, Mathematics, or Physics - works as an embedded engineering unit inside biotech and medtech companies. We ship instrument control software, real-time data platforms, and agentic AI that turns complex lab workflows into simple conversations. Track record: 18+ months embedded with Lino Biotech AG (instrument control), delivered remote monitoring for Ridgeview Instruments AB (LigandTracer), and built LiquidBridge - an agentic AI solution controlling liquid handlers via chat.