Live demo · sample flow

The operating system for your AI engineering team

Your AI agents write the code. LORUSS EOS plans, assigns, tests, reviews and waits for your approval.

Early access has started. Reserve your place now. How it works

Full scope

All of software delivery, in one system

LORUSS EOS is an end-to-end Engineering Operation System. Your AI developers write the code; EOS plans the work, gives it to the right specialist, checks every result with evidence and brings the decision to you.

  1. PlanThe goal becomes tasks
  2. ArchitectureStructure and limits are set
  3. BuildAgents write in a sandbox
  4. TestAcceptance is measured
  5. ReviewCode and security, independent
  6. ReleaseMerged with your approval
  7. MaintainMonitoring and fixes
39 specialist rolesThe whole team, from plan to maintenance
Your controlNothing merges without you
Your serverRuns around the clock
Roles

Who does what

You set the goal, EOS runs the team, your AI developers write the code.

Owner

You

Set the goal and approve the result. Merges and releases always stay with you.

The engineering manager

Splits work into tasks, routes each one to the right role and tool, runs the checks and records every step.

Agents

Your AI developers

Codex, Claude Code or both, with more tools on the way. You choose which agents work, on your own subscriptions.

Live sample

How a task moves

No coding needed. Describe what you want in your own words; EOS and its team do the rest.

LORUSS EOSSample
You

EOS

Got it. Two quick questions before we start:

Who will use it?Salons and their clients
How will they pay?Card, monthly subscription
Plan: 6 tasks, 5 specialists
  • Sign-up and login
  • Booking calendar
  • Payments and plans
  • Admin panel
EOS

Your team is working:

Backend
Frontend
Payments
Design
EOS

Every part is checked before it reaches you:

Tests
Code review
Security
EOS
Your product is ready

Bookings, payments and the admin panel are ready. All checks passed.

Assurance

Evidence at every step

Work is done only when tests and independent reviews prove it on the same commit.

Three gates on the same commit

Tests, independent code review and security review run on the exact commit that will be merged. Work without evidence never counts as done.

Isolated by default

Agents can't read your secrets, reach the network or touch files outside the task.

Stops when unsure

When something is unclear, EOS doesn't guess. It stops and tells you why.

Independent review

The agent that wrote the code can't approve it. A separate agent reviews it.

Full audit log

Every task, decision and approval is recorded, so you can always see what happened.

Integrations

Bring your own tools

Your coding subscriptions stay yours. EOS orchestrates them and keeps them in check.

CodexAt launch
Claude CodeAt launch
Planned
  • Cursor
  • GigaCode
  • Gemini CLI
  • GitHub Copilot CLI

A tool is switched on only after it passes our sandbox and security tests.

Deployment

Where it runs

Runs day and night on your own server; desktop and mobile are on the way.

Your server, 24/7

At launch

EOS runs on your own server day and night. Work continues when your laptop is closed.

Desktop app

Planned

For Windows, Mac and Linux. Your code and secrets stay on your machine.

Approve from your phone

Planned

Get notified, check the evidence, then approve or stop.

Our story

Who we are

We did not set out to build another AI. We set out to make the AI we already had work like a team we could trust.

Where it started

We build software for marketplace sellers and traders, with AI coding agents. At first they felt like magic: a week of work done in an hour.

What went wrong

Agents changed files nobody asked them to touch, tests passed only on their own machine, and unfinished work was reported as done. Every evening went into checking it by hand.

What we learned

Speed was never the problem. Nobody was managing the agents: no scope, no separate reviewer, no tests before merge, no owner making the final call.

What we built

We wrote that discipline down rule by rule and turned it into LORUSS EOS. We build our own products with it every day, and now we are opening it to other builders.

The team

39 specialist roles, one team

Every role has a written role card: what it does, which files it may touch, its checklist and what it must deliver. EOS picks the right role for each task.

Planning and leadership

6
  • Engineering lead
  • Product manager
  • Solution architect
  • Tech lead
  • Requirements analyst
  • Project planner

Build

8
  • Backend engineer
  • Frontend engineer
  • Full-stack engineer
  • Mobile engineer
  • Database engineer
  • Integration engineer
  • Data engineer
  • AI engineer

Quality

6
  • QA engineer
  • Test automation engineer
  • Performance engineer
  • Accessibility specialist
  • UX reviewer
  • Regression analyst

Review and security

6
  • Principal code reviewer
  • Principal security reviewer
  • Threat modeling specialist
  • Dependency auditor
  • Secrets and compliance auditor
  • Privacy reviewer

Operations

7
  • DevOps engineer
  • SRE engineer
  • Release manager
  • Cloud engineer
  • Monitoring engineer
  • Backup engineer
  • Cost specialist

Delivery and support

6
  • Forward deployed engineer
  • Technical writer
  • UI designer
  • Localization specialist
  • Support engineer
  • Migration specialist

LORUSS EOS is in early access. Roles are switched on step by step as each passes its own tests.

FAQ

LORUSS EOS in detail

What it does, who it is for, how you use it, how it keeps your code safe and what makes it different.

01

What does it do?

An engineering operating system that manages your AI coding agents like a team, from plan to proof.

02

Who is it for?

Founders, solo builders and small teams who build software with AI and need it to be reliable.

03

Why do you need it?

Fast agents still need a manager. EOS sets the rules, checks the work and stops when unsure.

04

How do you use it?

Connect your tools, describe the goal in plain words, let agents work, then approve with evidence.

05

Is it safe?

Isolated sandboxes, least privilege, independent reviews, fail-closed checks and an audit log.

06

How is it different?

Not another model: proof instead of promises, independent review, your tools and your server.

Early access

Join the waitlist

Be the first to know when LORUSS EOS opens for early users.