About market intelligence engineering
17 years building B2B growth strategies has taught me that GTM, RevOps and market strategy are at their most-successful when treated a production system.
Your business, your GTM or market strategy is a system with inputs, processes, outputs, and constraints, all of which can be mapped, measured, and engineered.
The businesses that scale the fastest are rarely the largest.
They're the ones that have stopped trying to solve problems with more bodies and started building systems that multiply each person's effectiveness instead.
The ‘Complexity Tax’ of Manual Research
Most commercial teams, whether in Sales, Strategy, or M&A suffer from the flaw of linear scaling.
In a manual workflow, if you want to double your output or your market coverage, you need double the staff.
If one researcher or SDR can research 50 companies a week, you need two of them to map 100.
But as you add more people, you create a 'complexity tax.'
Coordination costs rise, data formats drift, and managing the team becomes harder than doing the actual job.
You end up paying more for diminishing returns.
The Solution: Changing the Maths
Market intelligence automation changes the equation entirely.
It allows you to identify the constraints that limit your throughput (usually data and research) and remove them with code.
An Intelligence Engine scales infinitely without adding management overhead.
It handles the "grunt work" - finding, verifying, and structuring data - instantly.
This shifts your operational model from linear to exponential.
It allows you to hire on top of leverage, not instead of it.
The goal of automation is not to replace your human experts. It's to remove the low-value friction that slows them down.
Your team's repetitive manual work carries a high opportunity cost.
Every hour a highly paid SDR, analyst or strategist spends manually researching data points is an hour they aren't spending on strategic analysis or closing deals.
By automating the research, intelligence, and data hygiene layers, you dramatically multiply the return on human time.
A systems‑enabled SDR or research analyst produces the output of a sizeable manual research team, but with better consistency and speed.
Leverage-Driven Growth
When you deploy this kind of infrastructure, you are no longer buying 'labour-intensive growth.'
You're achieving 'leverage-driven growth.'
Now, when you do hire a new team member, you aren't hiring them to solve a capacity problem.
You're plugging a skilled human into a high-performance machine.
You're compounding the effect of the system rather than buying more of the same constraint.
Systems don't just add to your capacity. They multiply it.
If you want your GTM, RevOps or research processes engineered for leverage, instead of just managed, let’s have a conversation.”