The lab is not a collection of instruments. It is a living system.
Systemic Automation Strategy advises executives in life science, biotech, and clinical diagnostics on what to automate, when to scale, and how to maximize return on every dollar of capital deployed in the lab.
Four engagements. One systemic view.
Every engagement begins with how data flows from LIMS through liquid handlers, into analytical instruments, and back out to the cloud.
Explore services →Automation Roadmap
A defensible 24–36 month plan tied to revenue, capacity, and regulatory milestones — not a wish-list of instruments.
Workcell Architecture
End-to-end design from sample accessioning through LIMS, liquid handlers, analytical instruments, and data return — with AI integration across scheduling, middleware, and instruments.
Scale & Validation
Method validation, analytical verification, and clinical validation under the V-Model — built for FDA, CLIA, and CAP scrutiny.
Operational Excellence
AI-driven uptime, predictive maintenance, COGS reduction, and capacity forecasting grounded in robust data and infrastructure that protect first-pass rate at scale.
Most labs accumulate robotic islands. The instruments work — but the workflow doesn't. We architect the connective tissue: the schedulers, the data contracts, the service models, and the leadership cadence that make automation behave like a single instrument.