About
From particle physics to buying readiness signals in B2B growth
Turning Data into Opportunity
My journey into data-driven growth started long before I knew what a sales funnel was. At age five, I began playing with a Commodore 64, and by nine, I had written my first Pascal program - color-changing pixels that jumped around. In 1997, I built my first website and started experimenting with search engines before Google even existed (convincing Lycos and AltaVista to rank your page via meta keyword stuffing was… an experience).
This early exposure to how visibility, structure, and systems interact shaped how I think to this day. That curiosity eventually led me to a PhD in physics, where I specialized in analyzing vast amounts of high-energy collision data - identifying weak but meaningful signals hidden deep in noise.
In my doctoral research, I searched for beauty and charm quarks in dijet events involving muons. Today, I do something structurally identical in business: identifying where real buying pressure already exists, long before it becomes obvious in pipelines or dashboards.
Most B2B teams struggle not because they lack activity, but because they operate on data dominated by noise. I build systems that separate signal from coincidence - whether that’s at the ICP level, inside active funnels, or in scalable acquisition.
The common thread across physics and B2B growth is the same: progress accelerates once the underlying conditions are understood. Everything else is execution.
I combine a scientist’s rigor, a developer’s precision, and a marketer’s empathy to help B2B companies align growth efforts with actual decision dynamics.
- 30+ years of programming and systems thinking
- PhD-level expertise in signal detection and empirical analysis
- deep understanding of decision psychology in B2B markets
Sigmerra works across three tightly connected layers of B2B growth. We start by making demand visible at the source through ICP & demand analysis, identifying which companies are under real change pressure - not just theoretical fit.
We then diagnose where momentum breaks inside active pipelines using funnel and GTM diagnostics, uncovering timing mismatches between intent signals and internal decision readiness.
Finally, we translate those insights into signal-based lead delivery - scalable acquisition systems built on high-quality signals rather than volume or guesswork.
Everything we deploy is based on proprietary software I designed and coded myself - no third-party black boxes, no generic tooling. If you’re done optimizing activity and want to understand when growth actually becomes possible, you can apply here .