Custom software, built by agents and kept running by us.

A company describes a workflow. Agents design, build and test the app. We run it in production: hosting, monitoring, fixes. Customers pay for a working app, not hours or code.

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Brimos dashboard: a Telegram bot built from a brief, all eight stages done, live link

Working MVP. Brief to deployed app, run end to end several times.Live demo on request.Pre-seed, October 2026. No revenue yet.

Describe the app in a few sentences, get a working app back. Screenshots below are from a real run.

Customer request and seven requirements — Step 1
The customer confirms a brief
One sentence becomes seven checkable requirements before any code.

Second demo run: the Catalog step reuses a module and the tg-reader platform service, two tasks in development — Step 2
Agents build in parallel
The architect first checks our catalog of tested modules and shared platform services. New code only for what is missing. Here, from a second demo run: one module and one service reused, 2 tasks instead of 3.

Failed CI run and the fix task — Step 3
CI catches a bug, an agent fixes it
The architect reads the failing test and opens a fix task. The fix goes through CI again.

Atlas: platform service tg-reader shared by two products — Step 4
It goes live, and we keep it running
Deploy, health check, QA on the live bot. Every product we run sits on one map. Platform services run once and are shared: in the second run the new bot joined tg-reader.

Usual development hands over code. We hand over a running app.

Freelancer or agency

Brimos

Time to first version

Weeks: the brief, the estimate, then the build.

Agents start from the confirmed brief. In the demo, a live bot in about 30 minutes.

Price

Hourly or per project. Every change is a new quote.

Fixed price per outcome, for the app and for each change, agreed before work starts. Hosting, monitoring and fixes on a monthly subscription.

Who runs production

The customer, or whoever they find.

We do: hosting, deploy, secrets, monitoring.

When it breaks

The owner notices and looks for a developer.

Checks catch it. An agent fixes it, or an engineer takes over.

Qualitative comparison. Time and cost per pilot will be measured and published.

“AI-native companies that don’t sell software, they sell the service. Instead of giving you a tool, they just do the work.”

Y Combinator, Requests for Startups, Summer 2026

Services are the larger budget

“For every dollar spent on software, six are spent on services.”

Julien Bek, Sequoia, as quoted by TEN13

Lovable is moving the same way

“Lovable does not output code. The output is a product.”

Lovable is a direct competitor and is heading to the same result: a product, not code. We expect the market has room for both. From day one we build around supporting the app in production, not around prototypes.

The pre-seed deck. Fourteen slides, appendices with sources.

1 of 20 Full screen PDF

The core team is in place. Engineers we trust are ready to join.

Vladislav MeshkorudnyjFounder, CEO and CTO

Has built the Brimos platform since December 2025. About 7 years of Python backend and AI engineering: Yandex, EPAM, fintech.

Oleg SergienkoEngineering lead

Fullstack engineer and engineering manager. Three-time founder, 300+ B2B clients.

Yulia KimFounding operations

7+ years running programs and projects in education, communities and AI Safety.

Engineers we have worked with

Dmitry Salnikovbackend

Igor TimofeevML, LLM evaluation

Angelina Kolosenokfrontend

See it run on a real request.

We show the live demo on a call. Write to us to book it.

Email[email protected]

Custom software, built by agents and kept running by us.

Describe the app in a few sentences, get a working app back. Screenshots below are from a real run.

The customer confirms a brief

Agents build in parallel

CI catches a bug, an agent fixes it

It goes live, and we keep it running