About
CloseWeave is built on a rare thing held in one person: commercial judgement and genuine technical fluency at once, with AI put to work across the whole motion. A hands-on advisory today, and a learning platform, built on a scored simulation, next.
The engineer
He trained as a software engineer, and his first real job was building traceability software: data, integration, and the unglamorous discipline of compliance. A strange place to start a sales career, and exactly why he can now sit across from a sceptical CTO and not blink. The technical fluency was never bolted on. It was the foundation.
The harder room
Then he did the thing engineers are not supposed to do, and walked into enterprise sales. And he kept choosing the harder room. A technology-resistant construction industry as the first sales hire at DesignBrief Consultancy. Architecture-level selling at Wiser Solutions, in omnichannel retail digital transformation. A brand-new vertical with no reference customers at Sisense. A fractional, revenue-share market entry for a financial digital transformation platform, paid purely on performance, with no base to fall back on. Each room harder than the last, on purpose.
The number
The results were not quiet. Number-one global account executive in a field of hundreds, three years running. Three times Presidents Club. Three times the first strategic sales hire, each time building a revenue engine out of nothing at all.
Taking it apart
Most people would have stopped there and dined out on the stories. He took the method apart instead. The playbooks are all written from the seller's chair, looking forward, imagining an orderly cycle that never actually happens. He wanted to reverse-engineer what really occurs in long enterprise deals, from the evidence, not the imagination. And the study kept proving one sentence, the one the whole practice now rests on: the pattern is teachable, not situational. What looks like innate talent is a repeatable shape. And a shape can be taught, and scored, and wired into an engine.
Now
CloseWeave is where that whole method gets handed to the founders coming up behind him.
Dual fluency, shown
The technical conversation, led not delegated.
The foundation. An engineering degree, then traceability software built where data, integration and regulatory compliance meet. He learned how enterprise systems and data actually fit together long before he sold to the people who run them, which is why the technical fluency has never been a costume.
When a Tier-1 retail bank had already scoped an eighteen-month internal build and its security team ruled cloud-only non-compliant, he did not fetch an architect. He designed a hybrid on-premises and private-cloud architecture against the bank's own security policy, and won the room. For a financial-market-infrastructure buyer he cleared the compliance path with a comparable reference deployment instead of a fresh information-security cycle. He leads the security and architecture conversation. He does not escalate out of it.
And now he builds the AI itself. The LLM-agnostic sales operating system, the scored simulation engine that plays the buyer and grades the seller, the prompt operating system with its own self-audit and source-tagging, each one his own build. He puts AI to work across go-to-market because he understands the stack, not because it trends.
That is what dual fluency means. Not a line on a slide, but the technical conversation and the commercial one, led in the same room.
From corpus to code
A study of real deals, turned into an AI that scores you.
A forensic study of real enterprise deals, evidence first, not opinion.
The specific ways enterprise deals die, catalogued from the corpus.
The rubric that grades a real sales conversation, not a vibe.
The discipline
Every claim, kept honest.
Around $25M in total contract value, personally closed as the seller of record. That is one claim, and it stands on its own.
Around $10.7M more, closed by teams he led and coached. A different claim, never blended into the first.
50+ deals across ~1,400 calls, analysed as research to build the method. Analysed is not closed, and never dressed up as it.
This discipline is not a disclaimer, it is the point. A sales-training venture that will not inflate its own numbers is the only kind worth learning from.
“Sharp, efficient and exceptionally charismatic. He consistently ranked as our top account executive, effortlessly surpassing his targets. Any team would be fortunate to have him.”
Work with the practice.
Start with the free scorecard, or come and see how the method thinks.