About ModelVox — founder-led positioning for technical companies

Who

Taras Netrev

Founder, ModelVox

Founded by Taras Netrev, a technology entrepreneur originally from Ukraine.

I have spent my career on the distance between what a technology is and what people understand it to be. I held a senior marketing role at Intel, and I have founded several software companies — including a product development firm with an R&D centre in Ukraine, working with venture-backed startups in Silicon Valley and established businesses in France. ModelVox exists because that distance now decides commercial outcomes in technical markets. A buyer, a partner, an investor or an AI-assisted research tool forms a view of what your company does — often before anyone from your team is in the room.

Recent work includes category definition for a humanoid robotics company. The company later raised an oversubscribed pre-seed round; many things preceded that, and we do not present it as a result of our work. The client is not named until they approve a published case.

LinkedIn profile

Why ModelVox exists

Technical companies are judged before anyone talks to them.

A buying committee reads the website. A partner’s engineering team reads the documentation. An investor’s analyst reads both. Increasingly, an AI assistant summarises the category for all of them. Each forms a view from what it can find and check.

Most companies have spent far more time on what they say than on what an outsider can verify. That gap is where deals stall, pilots drift and partners hesitate — and it is the gap ModelVox works on.

How we work

Six principles, applied to every engagement.

Evidence before assertion

A claim is published at the strength its evidence supports. The claim-to-evidence register is how that is enforced, not a slogan.

Relevance over uniqueness

A position does not have to be untrue of every competitor. It has to matter to the buyer and be supported. Artificial uniqueness is easy to write and hard to defend.

Narrow before broad

One product, one use case, one buying group. A sharp position in one place is easier to extend than a vague one everywhere.

Implementation, not slides

The page gets written and shipped. A position delivered only as a deck usually stays one.

Precision about uncertainty

What is documented, what is inference and what nobody knows are kept apart — in reports on AI answers above all.

Willingness to decline

If the evidence will not support the claim, or the product is not ready, the honest recommendation is to wait, and we make it.

Disclosure

What we have not done.

A firm that asks clients to separate evidence from assertion should do the same about itself. This list changes as the facts do.

As of October 2026

No published client case studies. Nothing appears with a client’s name until they have read and approved every word.
No awards, certifications, analyst placements or partner badges. We have not applied for any.
No privileged access to any AI provider. We cannot see how assistants rank companies, and we treat any firm claiming otherwise with caution.
No defense-sector affiliations. We have no government relationships, procurement access or security clearances, and the defense and dual-use work is a focused, new area for the firm.
Our own AI visibility is early. The site is built to the standard we recommend; whether assistants describe ModelVox accurately is something we measure rather than assume.

Frequently asked

On the firm.

No. We do not sell content production, advertising management or social media retainers, and we do not bill by output. We help leadership teams decide who they are for and what they can credibly claim, and then implement the page and the material that carry it. A separate practice implements and operates AI workflows for established businesses.

Deliberately small and founder-led, working remotely with companies across the United States and Europe. You work with the founder directly. Where an engagement needs other expertise — engineering sign-off, legal, export or procurement advice — it comes from your team or a named specialist, and we say which. If firm size is a procurement requirement, we are probably not the right fit.

Guarantee that an AI assistant will recommend a client, or that work will produce investment, contracts or procurement awards. Buy mentions, engagement or placements. Publish a case study a client has not approved. Present planned capabilities as current ones. Automate consequential decisions in healthcare, credit, insurance or employment as a starting engagement.

You should not take it on trust. The illustrative sample shows exactly how the work reasons and what it produces. The first conversation gives you one specific, checkable observation about your own positioning. And if you want references before signing anything, ask — that is a normal request.

Twenty minutes. You describe the product, the buyer and the decision in front of you; we ask about the evidence you hold. If we can help, you leave with one bounded observation about your positioning and a view on whether the sprint fits. It is a fit discussion, not a free audit, and there is no proposal unless you ask for one.

Start with a 20-minute conversation.

Tell us the product, the buyer and the decision in front of you. If we can help, you leave with one specific observation; if we cannot, we say so.

Discuss your positioning How we work

If we can help, you leave with one specific observation about your positioning. If we cannot, we say so.

Founder-led positioning for technical companies.