Build Competitive Advantage and AI Valuation
Quicksilver Labs is an engineering-led AI firm built by PhDs and industry veterans. We're researchers and practitioners obsessed with what's next, and how it creates real business value.
Senior talent at every layer, from strategy to code. We believe AI creates durable advantage when it is infrastructure, not novelty. We build systems that work in the real world, where data is messy, regulations are strict, and you need it to last.
We turn AI ambition into working systems.
We help organizations become AI-native, not by adding tools, but by redesigning how your business actually runs better with AI.
The landscape shifts monthly: new model architectures, agentic frameworks, open-source breakthroughs that redraw the cost curve overnight. Ad-hoc efforts can't keep up. We combine scientific rigor with clear understanding of your business objectives so your AI investment delivers lasting advantage, not last quarter's hype.
We develop new approaches and tools that move AI systems engineering forward. We build software that changes how you work today, and won't be obsolete tomorrow. We don't do commodity AI. If you want to build the future, call us.
Learn by building with our experts. We embed senior practitioners so you build capability while you build product: expertise and transfer, not long-term dependency.
High-impact, accelerated partnership
Strategic sprints with leadership teams: weeks, not months. We find where AI moves the needle. Identify what could go wrong. Prove it is solvable.
No six-month studies. No slide decks gathering dust. Clear direction from people who've done it before and invested the time to be at the cutting edge.
Targeted execution partnership
End-to-end delivery: design, build, launch, and handoff. We own it until you do.
We build, document, transfer, and train your team to take it from there.
VC and Entrepreneur with a career building and scaling teams that deliver complex systems in production. He operates at the frontier of new technology with experience across AI, life sciences and industrial startups, building teams for high growth and AI leadership.
Co-founder of Mercury Fund, Co-Founder and founding CEO of Mercury Data Science (now Omniscience).
PhD in Materials Science.
Years spent designing and delivering complex AI systems in production. He came up through early-stage teams, scaled systems through hypergrowth, and went on to lead enterprise-scale delivery.
His work lives at the intersection of applied math, engineering, and execution. His primary research interest is why AI systems fail in the real world and how to build systems that don't.
PhD in Mathematics.