Code got cheap. Breaking didn't.
Neo keeps AI-built software healthy. Governed AI agents work across your whole codebase, and a human approves every change before anything ships.
A private alpha from QuickLaunch. We onboard a small batch of codebases at a time.
Owns the UI, component state, and the design system.
onlineHandles schema, migrations, and query performance.
onlineWrites tests, catches regressions before users do.
onlineWatches auth, secrets, and dependency risk.
onlineShips new features and the small fixes that retain users.
onlineKeeps dependencies current and the build green.
onlineIllustrative. The roles Neo builds are chosen per app, so your team won't look exactly like this one.
From QuickLaunch, the studio that turns ideas into real MVPs in about three weeks. quicklaunch.dev →
Every system is one broken thing away from a bad day.
Real software has hundreds of moving parts. When one fails, usually in front of a customer, the question is brutally simple: do you understand it well enough to fix it, fast? AI made that question harder. Code is cheap to generate now, so there's more of it, built faster than anyone can fully trust, and more of it that can break.
There's more code than anyone reads. AI writes it faster than your team can review it, so trust runs thin.
It breaks at the worst moment. The failure you didn't see coming tends to land while a customer is watching.
Fixing it means understanding it. And nobody fully understands code they didn't write line by line.
So you're left without assurance. When it breaks, what's your guarantee you can actually put it right?
An immune system for your codebase.
Neo sits over your software and runs governed AI agents across its whole lifecycle. They catch issues, propose fixes, and keep things healthy. Every change is proposed by an agent and approved by a human before it ships.
self-healing software through governed AI agentsIt catches what's failing
Agents watch the whole lifecycle, from the data layer to the deploy, and surface problems before a customer hits them.
It proposes the fix
Each fix arrives as a clear proposal with the diff, the tests, and the impact, scoped to the part of the system the agent owns.
You stay in control
Nothing merges on its own. A person approves every change before it ships, with a record of who approved what.
Governed agents, with you holding the keys.
We work alongside your team to map what your system does and why, then put Neo to work on it.
Neo learns your system
We sit with your team and map what the software does and why. Neo reads the codebase end to end, the structure, the data model, the places it's fragile.
✓ flagged: fragile areas, missing tests
Agents watch and propose
Governed agents run across the lifecycle. They catch issues, write the fix, and hand you a proposal with the diff, the tests, and the impact spelled out.
✓ diff + tests attached
You approve, then it ships
You review the proposal and make the call. Approve, and Neo ships it. Send it back, and the agent reworks it. The system gets healthier, on your say-so.
✓ shipped · build green
Autonomous agents move fast. Then you find out what they touched.
Letting agents merge on their own is how you end up debugging a change nobody approved. Neo runs the other way: every move is proposed, reviewed, and signed off.
The usual Agents on autopilot
- Changes merge on their own. You learn what happened when something breaks.
- One agent holds the whole codebase until it loses the thread.
- No record of who decided what, or why.
- "Trust me" is the whole safety model.
Neo Governed, with a human gate
- Every change is proposed, then a person approves it before it ships.
- Specialists are scoped to parts of the system, so each one stays sharp.
- A clear trail of what changed, who approved it, and why.
- Every fix comes with its diff, tests, and impact attached.
We're looking for codebases to stress-test.
Neo is in private alpha, and we're deliberately onboarding as wide a range of codebases as we can, to find where Neo holds up and, just as usefully, where it breaks. We work alongside your team to map what your system does, then put Neo to work on it.
Got a codebase you'd let us stress-test?
The messier and more real, the better. Tell Marcel what you've built and where it hurts, and we'll see if it's a fit for the alpha.
A private alpha. We onboard in small batches and reply to the codebases that fit.