Positioning, July 6, 2026
A Strong Product Can Still Be Positioned Like a Commodity
Buyers do not price your product. They price the category you let them file it under. Product quality cannot fix a filing error.


Founder. Technologist. Strategic Advisor.
I build companies, products, and intelligence infrastructure, working selectively with founders and organizations facing consequential decisions.
Founder & CEO, TacTech
/ Vice President & CTO, Zynolabs
Founder. Technologist. Strategic Advisor.
I build companies, products, and intelligence infrastructure, working selectively with founders and organizations facing consequential decisions.



Owned data, conditioned, governed, delivered.
TacTech prepares, governs, and mobilizes the data and operational foundation.
Founder & CEO
Data Mobilization & Intelligence Infrastructure

Intelligence, without surrendering operational control.
Zynolabs focuses on controlled AI systems and private deployment environments.
Vice President & CTO
Private AI Under Organizational Control
Business models, sequencing, and the decisions that determine what a company becomes.
Product direction
What to build. What to cut. What earns the position it claims.
See: Defining the M1 Layer, on the Work page.
Choosing technology deliberately: what to own, what to buy, and what to ignore.
Private AI, deployed inside the boundary.
On-premise capability
Positioning & category design
Defining the category a company competes in, and the language it competes with.

This site, the working example

Private counsel for founders carrying consequential decisions alone.
Perspectives
What should the company become?
What should be built, and what should be cut?
What should be owned, bought, or ignored?
What category does it compete in, and with what language?
Advisory

Owned data, conditioned, governed, delivered.
TacTech prepares, governs, and mobilizes the data and operational foundation.
Founder & CEO
Data Mobilization & Intelligence Infrastructure

Intelligence, without surrendering operational control.
Zynolabs focuses on controlled AI systems and private deployment environments.
Vice President & CTO
Private AI Under Organizational Control
Areas of work
01
Business models, sequencing, and the decisions that determine what a company becomes.
02
What to build, what to cut, and how a product earns the position it claims.
03
Choosing technology deliberately: what to own, what to buy, and what to ignore.
04
Defining the category a company competes in, and the language it competes with.
05
Digital presence and brand systems that hold up under a skeptical buyer's scrutiny.
06
Private counsel for founders carrying consequential decisions alone.
Selected work
Advisory