About
Research, mathematics, enterprise operations, engineering, and commercialization, all under one roof. We combine scientific rigor with commercial focus to bring verified reasoning to organizations making high-stakes decisions.
Our mission
Enterprises can't put confidently-wrong AI into consequential decisions. TopoLift transforms fragmented enterprise data into verified organizational understanding, grounded in evidence, relationships, and context, so humans and agents can reason with it safely.
We don't sell a chatbot or a wrapper. We built the layer the model reasons inside, on mathematics rather than prompt engineering: hallucination stopped before it starts, every answer traceable to the evidence behind it.
Our vision
The better the models get, the more the binding constraint on enterprise AI becomes the trust gap, not the capability gap. Our layer is the only thing standing between new model power and a real decision.
Because reliability comes from structure rather than model size, sovereign AI stops being a compromise: smaller, local models deliver frontier-grade results while sensitive data never leaves an organization's boundary.
Most AI generates answers. TopoLift builds understanding: the only reliable constraint on a machine that would otherwise say anything.
01 · The team
Mathematician, scientist, serial entrepreneur, and AI specialist with 18 years of AI development experience. Founder of NetraMark; affiliations with Queen's University, CAMH, and UC San Diego.
Leads operations, commercialization, partnerships, communications, and strategic growth, and champions AI ethics across the company.
Revenue, product, and sales lead for enterprise deployments, with three decades of IT entrepreneurial experience.
We're building the trust layer for enterprise AI. If that's the problem you're facing, we'd like to hear from you.