Marketed by someone who
builds the technology.
Most agencies selling AI marketing have never built an AI system. Itay builds them: agents, automation, multi-agent operations running inside real businesses. Marketing for AI companies is a capability grounded in that operator experience, not a claimed client case study. We say that plainly, because honesty is the whole point of this page.
The three ways AI startup
marketing breaks
AI products die in the gap between what they do and what buyers understand. These are the three ways that gap opens.
1. Describing technology to non-technical buyers
Your product is a transformer pipeline with retrieval augmentation and a fine-tuned classifier. Your buyer is an operations manager who wants fewer missed calls. Every AI startup faces this translation problem, and most solve it badly: either dumbing it down until it sounds like magic, or leading with architecture nobody asked about. The fix is outcome-first messaging. Start with the result the buyer already wants, show the product as the fastest path to it, and let the technology earn its place in the story.
2. Founder-led sales that do not scale
Early AI startups run on the founder's demos and network. It works until it does not: the founder becomes the bottleneck, every deal needs a custom walkthrough, and there is no repeatable pipeline. Marketing has to build the machine the founder cannot be: education-first content that pre-sells, landing pages that convert technical visitors, and outbound that reaches the right buyers without the founder in the room.
3. Hype that burns trust
The AI market is drowning in overpromises, and technical buyers have learned to smell them instantly. One inflated claim and the buyer writes you off permanently. Hype converts once and churns forever. The startups winning long-term position on what the product actually does, prove it fast, and let the results compound. Honest positioning is not just an ethical choice in this market. It is the higher-converting one.
What we bring
Not a client roster. Capabilities, earned by building.
Technical fluency
We build AI systems ourselves: agents, automation, multi-agent operations deployed inside real businesses. We understand model capabilities, integrations, data pipelines, and the real constraints that technical buyers ask about in the first call. Your buyers will not have to educate us before we can market to them. That alone separates this from every generalist agency pitching you AI marketing this quarter.
Understanding the buyer
AI products sell to a split audience: the technical evaluator who checks whether it actually works, and the business buyer who checks whether it pays. Messaging has to satisfy both without talking past either. We map how your specific buyer discovers tools, evaluates them, and gets internal approval, then build the funnel around that real process instead of a generic template.
Messaging for technical products
The discipline is simple: translate capability into business outcomes without lying about either. Concrete use cases instead of vague promises. Demos that prove value in minutes. Copy that a CTO respects and a CEO understands. We position on what the product actually does and who it actually serves, because in this market that is what converts and what retains.
The underlying disciplines are our full service list: PPC, B2B email, web design, and creative, applied with technical fluency.
How we would deploy it
The playbook depends on your buyer. Here is the shape of it.
Disciplined PPC for high-intent searches
Technical buyers search with precision, and those searches convert. Exact and phrase match around the problems your product solves, landing pages that educate and convert in the same visit, tracking tied to demos and trials rather than vanity traffic. The same account discipline we run everywhere else, aimed at a buyer who does their homework.
B2B email and content that teaches
Founders and operators respond to outreach that teaches them something real. Targeted, data-backed email to the right titles, with messaging built around the outcome rather than the pitch. Paired with content that demonstrates the product thinking: use cases, breakdowns, honest comparisons. Authority compounds, and in AI it compounds fast because so few are doing it honestly.
Landing pages that convert technical visitors
Technical visitors bounce from marketing fluff in seconds. Your pages need to answer the evaluator's questions fast: what it does, how it integrates, what it costs, what happens next. We build pages that respect the visitor's intelligence and move them to a demo or trial without friction. Speed, clarity, proof. Nothing decorative.
Questions
Straight answers, before you apply.
We are direct about this: marketing for AI companies is a capability grounded in operator experience, not a claimed client case study. Itay builds AI systems himself, which is where the technical fluency comes from. We would rather tell you that straight than dress up a thin result.
Yes, because we are one. We build AI systems, agents, and automation in our own operations, so we understand model capabilities, integrations, data pipelines, and the real constraints buyers ask about. Your technical buyers will not have to educate us before we can market to them.
You do not start with the technology. You start with the outcome the buyer already wants, then show the product as the fastest path to it. Education-first content, concrete use cases, and demos that prove value in minutes. The tech earns its place in the story, but the story is about the result.
It depends on the buyer. High-intent technical searches convert through disciplined PPC. Founders and operators respond to sharp B2B email and content that teaches something real. Developer tools need community presence. We pick the channel by mapping how your specific buyer actually discovers and evaluates tools.
No. Hype converts once and churns forever, and technical buyers smell it instantly. We position on what the product actually does and who it actually serves. Honest positioning is not just an ethical choice here, it is the higher-converting one.
AI startups usually have the technology and lack the distribution. That is exactly the gap our model was built for: we plug a proven demand engine into a product that is ready to scale, and we share the upside we create. If the tech is real and the market is ready, we are the growth team you do not have to hire.
Marketed by a builder.
Not a pretender.
Apply below and we will tell you straight whether we can move your number.