Enquirer Consulting Group

Reachable Buyer Map

Prepared for Aman Sharma · Lamatic · August 2026
Selling infrastructure to builders has a specific difficulty in it: the person who signs could build the thing themselves, so the market is not sorted by need, it is sorted by how much a team's time is worth and who is holding a date. This map covers where those teams sit, who signs in each group, and roughly how many companies are there. It describes the market rather than your business, and there is nothing to buy at the end of it.
Funded software startups shipping AI features
The group most positioning in this category is already written for, and the one most likely to arrive inbound rather than the other way round. Short decisions, small committees, and a founder who will try it the same afternoon. Also the group with the highest churn of company names, so the list ages faster here than anywhere else on this page.
Who signs: technical co-founder, chief technology officer, head of engineering, first platform hire.
8,000 to 10,000
software companies in North America and Europe that have raised institutional funding since 2022 and run their own engineering team
Established software vendors adding AI to a shipped product
Bigger, slower, and the segment where the buying reason flips: not how fast can we build it, but who carries it at three in the morning when it breaks. They almost never appear in a self-serve funnel because the evaluation starts with architecture review rather than a signup.
Who signs: VP of engineering, VP of product, head of architecture, chief technology officer.
12,000 to 15,000
software publishers and product companies with 50 or more staff across North America and Europe
Agencies, integrators and product studios
Numerically the largest group here and structurally the most interesting, because one of them puts the platform into many client builds rather than one. They buy on delivery margin and repeatability, which is a genuinely different pitch from the one that lands on a founder.
Who signs: founder or managing director, technical director, head of delivery, AI practice lead.
20,000 to 25,000
digital agencies, system integrators and software development studios with a named engineering practice
Enterprise platform and data teams outside software
Banks, insurers, retailers and industrials with a real platform engineering function. The competitor here is never another vendor, it is the internal build, and the sale is usually won on operating burden rather than on features. Long cycles, and procurement is a stage, not a formality.
Who signs: head of platform engineering, chief data officer, director of machine learning engineering, enterprise architect.
6,000 to 7,500
large enterprises outside the software sector carrying a named platform or data engineering function
Vertical software companies in regulated markets
Health care, legal, financial services and logistics software. Underserved by generic tooling because auditability and data handling are not optional extras, and the tracing and monitoring side of your platform answers a question they are already being asked by their own customers.
Who signs: chief technology officer, head of product, engineering lead who owns compliance, head of security.
4,000 to 5,000
vertical software vendors serving regulated industries across North America and Europe
The AI-native builder layer
The people who are visibly building right now but whose company either does not exist yet or exists only as a repository and a landing page. Real demand, no registration, and a population that turns over every quarter.
Who signs: solo technical founder, indie builder, research engineer moving into product.
No public register
visible through what they publish rather than through any company record, so this group is reached by activity and not by list

Where the openings are

1
Agencies are a multiplier, and product-led funnels almost never touch them. An agency that standardizes on your platform carries it into every client build after that. But agency engineers do not sign up for trials the way founders do, and the person who makes that call is a delivery lead thinking about margin across ten projects, not one. Reaching twenty to twenty-five thousand of those firms by name is a channel problem, and it is the one a self-serve motion is least likely to solve on its own.
2
The buying trigger is a funding event, and it decays in weeks. A team that just raised is staffing an AI roadmap immediately and choosing tooling before the quarter ends. That moment is visible from outside if someone is watching the whole market on a schedule. It is invisible to any channel that waits for those teams to find the documentation, and by the time they publish the hire, the decision has usually already been made.
3
Two buyers, opposite fears, same product. The founder is afraid of being slow. The enterprise architect is afraid of being on the hook. Those are not two versions of one message, they are two audiences, and a single voice aimed at the middle reads as neither. Splitting them is straightforward once the market is segmented by who signs rather than by company size.
Built from public market data covering registered software, agency and enterprise employers across North America and Europe, current to 2025. Counts are banded deliberately. Sector codes are self-reported and a company that does two things is filed under one of them, so the agency and studio band is a floor rather than a ceiling. The independent builder layer is not registered anywhere and is described rather than counted.
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