Advanced mechanical engineering solutions for high-tech equipment, robotics, automation, and semiconductor industries. PiVector Labs bridges first-principles engineering with modern tooling and AI-driven workflows to ship reliable, production-ready hardware architectures.
PiVector Labs operates as a focused engineering partner for teams building instruments and machines that can’t afford to be “close enough”.
We sit at the intersection of precision machine design, nanometrology, and automated production systems —working hands-on from architecture selection and mechanism layout through to prototype, qualification, and handoff.
Selected project types where PiVector Labs plugs in as a principal-level mechanical design and analysis partner.
From blank page to coherent machine architecture: kinematic layouts, support structures, stiffness paths, and stack-up analysis that survive contact with real factories and real parts.
Targeted simulation and analytical work—FEA, modal, thermal and tolerance stacks—to de-risk critical mechanisms before metal is cut and to explain why the hardware behaves the way it does.
Independent design reviews, roadmap guidance and “second opinion” sessions for teams moving fast and needing clear signals on risk, architecture, and manufacturability.
Software agents that accelerate the slow, repetitive parts of the mechanical design workflow—without replacing the judgement of experienced engineers.
Agents that sweep through design parameters, compare CAD variants, and produce compact “diffs” with mass, stiffness, envelope and cost implications so humans can focus on the trade-offs, not the bookkeeping.
Embedded agents that surface internal standards, past design decisions, and failure modes directly inside the design process, reducing “tribal knowledge” loss as teams grow and rotate.
Automation of specification sheets, calculation notebooks, and structured BOM exports so engineering intent reaches manufacturing, supply chain, and quality teams without manual copy-paste work.
We work with teams where precision, uptime, and throughput are non-negotiable.
For mechanical design, analysis, and consulting projects, include a short description of your system, current constraints (budget, schedule, form factor), and what “success” looks like.
For AI agents, outline your current design workflows, the tools you use (CAD, PLM, simulation) and where engineers are currently losing time.