---
title: "Deep Tech Commercialisation: Writing and Method | DM & Associates"
description: "Sourced writing on deep tech commercialisation: turning pilots into purchases, building defensible moats, and pricing a technology before it has an advantage."
url: "https://dmassociates.xyz/journal/topic/deep-tech/"
---

Journal · Deep tech

# Writing on deep tech commercialisation.

What it takes to turn a working technology into a paying customer: pilot design, moats, pricing before advantage, and the commercial hires a research team is missing.

9 pieces · most recent Sept 2025

[Deep Tech · Sept 2025 The modern AI pricing dilemma How to price a generative AI product when inference costs vary with use and the underlying models keep getting cheaper every few months.](https://dmassociates.xyz/journal/the-modern-ai-pricing-dilemma/)

[Deep Tech · Sept 2025 Why trust is the essential moat for AI startups When model performance becomes a utility, defensibility shifts to reliability, transparency and fairness. How to build and measure that.](https://dmassociates.xyz/journal/why-trust-is-the-essential-moat-for-ai-startups/)

[Deep Tech · Sept 2025 Your first 100 users: a go-to-market playbook for vertical AI startups Why SaaS growth playbooks fit vertical AI poorly, and what to do instead: one critical workflow, deep integration, and an enabled internal champion.](https://dmassociates.xyz/journal/your-first-100-users-a-go-to-market-playbook-for-vertical-ai-startups/)

[Deep Tech · Sept 2025 How to acquire your minimum viable dataset efficiently Eight capital-efficient plays for acquiring the smallest useful dataset, and how each one evolves into a compounding data flywheel.](https://dmassociates.xyz/journal/how-to-acquire-your-minimum-viable-dataset-efficiently/)

[Deep Tech · Aug 2025 Five core moats for sustainable AI ventures Data, workflow, network effects, distribution and brand: the five barriers that make an AI company defensible once model access is a commodity.](https://dmassociates.xyz/journal/5-core-moats-for-sustainable-ai-ventures/)

[Deep Tech · Jul 2025 A 90-day plan for your first business executive in a scientific team A three-phase plan for a senior commercial hire joining a research-led company: immersion, then mapping and translation, then co-creating the roadmap.](https://dmassociates.xyz/journal/a-90-day-onboarding-plan-for-integrating-your-first-business-executive-into-a-deeply-scientific-team/)

[Deep Tech · Apr 2025 Hiring your first quantum commercial team: translators, not quota-crushers Why a conventional enterprise sales hire struggles in a quantum company, what to look for instead, where to find those people and how to compensate them.](https://dmassociates.xyz/journal/hiring-your-first-quantum-sales-team-why-you-need-physicist-translators-not-quota-crushers/)

[Deep Tech · Apr 2025 A quantum founder's guide to justifying enterprise value before advantage Two ways to make an early quantum partnership legible to a finance team: frame the fee as an option premium, and cost it against building the team in-house.](https://dmassociates.xyz/journal/a-quantum-founders-guide-to-justifying-enterprise-value-before-advantage/)

[Deep Tech · Mar 2025 Patent or trade secret? A founder's decision framework Three questions to help a deep tech founder decide whether a core innovation belongs in a patent application or stays a trade secret.](https://dmassociates.xyz/journal/patent-or-trade-secret-a-founders-decision-framework/)

## This is the thinking behind the advisory work.

The deep tech practice is where this writing gets applied to one company: the pilot you are unsure about, the buyer who has no budget line, the plan that has to hold between technology milestones.

[How we work with deep tech founders](https://dmassociates.xyz/advisory/deep-tech/)