How it works
From your request to production, with no needless meetings.
1. You state the need
Bug, feature, improvement: you describe the intent. No 40-page spec.
2. Scoped design
The AI team turns the need into a technical plan, identifies impacts and proposes an approach before writing a single line.
3. Autonomous execution
Agents code, test, open merge requests and iterate. Continuously, in parallel across topics.
4. Quality gates
Independent code review, security analysis, visual verification. Nothing ships without passing the checks.
5. Continuous delivery
Merged code goes to production. You track progress and keep the final say.
What you keep in control
Priorities, scope, sensitive approvals and critical deployments stay on your side. The AI executes, you decide.
What we take care of
Three services that cover your project from design to maintenance.
Tailor-made design
We design your project to measure: scoping the need, architecture and a technical plan before a single line of code.
Supervised development
Your project's development is supervised by our team and delegated to our experienced AI agents, continuously and under guardrails.
Scalable maintenance
We set up a scalable maintenance team, sized according to the plan you select.
How it works
A cyclic ecosystem: every request travels the loop until delivery, then the loop starts again.
Automatic verifications
Before any delivery, every merge request goes through four checks run automatically by dedicated AI sessions.
Code review
An independent AI session reads the diff, checks the logic and flags regressions before the merge.
Visual verification (VV)
An AI session compares the expected and actual visual rendering on the impacted screens, to prevent any UI regression.
Security check
An AI session screens the change for security risks (secrets, authorisation, injection) before publishing.
End-to-end tests
We automatically replay your product's key journeys, like a real user (sign up, fill in a form, pay…), to catch regressions before your users do. On your predefined scenarios or scenarios that RUMO suggests.
These checks are automatic actions: no manual intervention is needed to trigger them.
Right now, in our workshops
Aggregated, anonymised figures across all our AI teams, refreshed continuously.
- Ticket opened10:07 AM
- Ticket handled10:05 AM
- Ticket opened9:57 AM
- Ticket handled12:02 AM
- Ticket handled12:02 AM
- Ticket handled12:02 AM
- MR merged10:03 AM
- MR created10:03 AM
- Ticket handled9:56 AM
- MR merged9:56 AM
- MR created9:56 AM
- Ticket opened9:32 AM
Build your AI team
Two plans to set up the team of agents that runs your workshop.
Shared AI team
Autonomy at a lower cost, with shared capacity.
- AI agents shared across several projects
- Pooled processing capacity based on load
- Quality guardrails included (review, security, visual)
- Ideal to get started or for moderate volumes
Dedicated turnkey team
Your own team, configured, launched, installed.
- A team of agents dedicated to your project alone
- Configured, launched and installed for you
- Reserved capacity and processing priority
- Quality guardrails included (review, security, visual)
A single feedback channel
We set up a single feedback channel — email or another medium depending on your needs — whose messages are sorted automatically and routed to the right processing queue.
We offer this same channel to the users of the delivered project, with automatic triage into urgent, blocking or milestone, and email follow-up at every step.