Brimos is an AI-native service company. Agents build, test and deploy; engineers supervise releases and support. We sell the outcome, not seats, hours or code.
Prototype tools generate code. Freelance developers build to a brief. Between them sits a gap: someone has to deploy, check and maintain the result, and a non-technical owner usually cannot.
Non-technical founders and small businesses that need a bot, a web service or an internal tool. First market to test: Russian-speaking founders in Serbia, Cyprus and the EU.
Will these buyers pay a fixed price for one workflow delivered and maintained?
First use case: reminders, status records and outbound API integrations.
The customer confirms a versioned brief. Requirements are mapped before work starts.
CustomerAn architect agent splits the brief into tasks. Coding agents work in isolated containers; every change goes through a pull request and CI.
AgentsAutomated deploy, a health check of the service, then a QA pass on the live app.
AgentsMonitoring, bounded retries, and follow-up changes through the same brief flow.
Agents and an engineerWhen an agent cannot finish, the request is parked and an engineer picks it up.
Automated checks confirm the app is up. Acceptance against the brief is signed off by the customer.
Pre-revenue. Paid demand is the next thing to test, not the product.
The full line from a confirmed brief to a deployed, health-checked app, with monitoring and follow-up changes on the same flow.
Run end to end several times. Debugged on real requests from test clients.
~30 min from brief to a live app in a clean demo run.
Live demo on request. The code behind the product claims is linked in Appendix C.
"AI-native companies that don't sell software—they sell the service. Instead of giving you a tool, they just do the work."
YC Requests for Startups, Summer 2026 M9
"For every dollar spent on software, six are spent on services."
Julien Bek, Sequoia, as quoted by TEN13 M3
Coding agents now write and fix code inside guard-rails. As they take on more of the build, the hard part moves to hosting, secrets, monitoring and support. We build that layer now.
reachable buyers in the first market × annual build and maintenance spend
Both inputs come from discovery calls and pilot pricing, not from top-down reports.
Growth in Upwork's AI Integration and Automation gross services volume, Q4 2025. Paid automation demand is rising. M2
Global custom software development, 2026 estimate; 18.8% forecast CAGR for 2026–2033. Category context, not our market. M1
"Lovable does not output code. The output is a product, and increasingly so, a business. We do a lot of things around hosting, deployment, and scaling apps."
Fabian Hedin, co-founder of Lovable, September 2026 M10
A company valued at $13.3B, with more than $600M in annualized revenue, reached the same conclusion we did: buyers want a working product, not code.
We will not compete with Lovable head-on. A self-serve builder leaves the user in charge of what ships. Taking responsibility for production for every customer does not scale on that model, so the delivered-and-maintained segment stays open.
The agent assembles a product from modules defined by a spec, tests and interfaces that can be checked, not from templates.
Hosting, deploy, encryption, certificates, monitoring and fixes are our job, not the customer's.
Engineers step in when an agent escalates. They do not write every line.
Reuse protects the margin as volume grows. The product we sell is the running app.
Precedents: Crowdbotics built apps from reusable modules with human developers and refocused on legacy-code analysis in 2025 M8. Outsourcing firms sell their own accelerators.
| Option | What the buyer gets | Price basis | Runs it after launch |
|---|---|---|---|
| Manual process | Staff time on repeated follow-ups | Not measured yet | The team |
| Freelance developer | Code built to a brief | Hourly or per-project quote | Agreed case by case |
| n8n M4 | Hosted workflow platform | Starter €20/month, annual billing | The customer |
| Lovable and partners M5–6 | Full-stack hosting; partners build for clients | Platform credits and a partner quote | Customer or partner |
| Flatlogic services M7 | Managed custom development | Monthly team capacity, quoted | Provider team |
| Brimos | One workflow delivered and maintained | Fixed price and a monthly fee, to test | Our engineers |
To prove in pilots: one team owns build, deploy and maintenance at a fixed price. We will report time to launch and support hours per pilot.
To be validated in paid pilots. No revenue is booked yet.
One workflow. Acceptance criteria come from the confirmed brief. Fixed price, paid on acceptance.
Proposed band for projects: $5–30K and 1–4 weeks, to be tested in pilots.
Hosting, monitoring, bug fixes and scoped small changes for a monthly fee.
Quoted separately and built through the same brief flow.
Pilot data stays non-critical and replaceable until backup and restore are tested (gate 0, slide 14).
price − (engineer hours × loaded rate + all model calls + infrastructure)
Every model call and engineering attempt is written to a cost ledger. The pipeline is model-agnostic, so cost is measured on the models we run for clients.
Reuse base today: two app templates, shared runtime contracts, one catalog package (reminders). Engineers turn generated features into tested modules; agents then assemble new apps from them.
Each pilot records engineer hours and full cost, first delivery against a comparable repeat.
Capacity: 2–3 concurrent projects per engineer is a founder estimate, not a measurement. 4–6 is the target.
Warm introductions from founder communities and B2B networks in the first market.
10–20 discovery calls before any outbound.
One workflow, acceptance criteria and a defined support term, at a fixed price.
A second comparable delivery on the same foundation. Track engineer hours, full cost and support work.
Built the delivery platform alone since December 2025, while employed full-time.
About 7 years of Python backend and AI engineering: Yandex, EPAM, fintech.
github.com/vladmesh · linkedin.com/in/vladmesh
Fullstack engineer and engineering manager.
Three-time founder, 300+ B2B clients.
7+ years of program and project operations in education, communities and AI Safety.
Led operations for a 150+ participant AI Safety course: 21 groups, 17 mentors, 18 projects.
Hiring by milestoneBackend, ML and frontend engineers join as gates pass. They review agent output instead of writing every line, so one engineer can carry several projects.
Before any valuable customer data: tested backup and restore, access revocation, TLS on product endpoints.
3–5 paid pilots, each accepted against its brief.
A second comparable delivery needs fewer engineer hours at a lower full cost.
Pilots renew paid maintenance; support hours per client are measured.
Founder full-time, engineers joining by milestone, compute.
$200K ARR or a credible enterprise pilot.
Projects per engineer; share of each project built from reusable modules.
[email protected]linkedin.com/in/vladmeshbrimos.dev