Your company is already vibe-coding. Nobody can see what it built.

Couldi is the governed way to do it. Describe what you need in plain English and agents build, test and deploy it as a live site — with our models or your own keys. Your policies, your tech stack and your regulator’s requirements are applied as it is built, not audited after, and your admin sets the spending ceiling before anyone hits it. You own 100% of your code. Invite-only while we scale it deliberately.

Request accessBook a demo

How it works

From description to deployed — four steps.

Describe

Explain what you need like you'd brief a colleague.

Plan

Couldi turns it into a real spec — a PRD and technical plan you can read.

Build and iterate

An AI agent writes the code while you watch each step. Then try it in a live preview and ask for changes.

Ship

On a paid plan, one click to a live URL — or publish to GitHub and deploy to your own cloud.

Why Couldi

Built for companies that got burned by AI hype.

Your policy is applied while it is built

Not wrapped around the result afterwards. The permitted request types, the restricted topics, and the languages, libraries, APIs and data sources your teams are allowed to use are part of how the thing gets made.

A security audit on your own criteria

On Pro, an org admin runs a structured audit that pairs fixed checks with an AI review against the criteria your org chose, drawn from a catalog of best-practice rules. The results stay with the project.

A spending ceiling you set, not a bill you discover

Admins cap usage per person, or set one default for every member, one-time or monthly. Every build is attributed to whoever ran it. Top-ups are an explicit purchase; nothing bills automatically.

It tells you it already exists — before it is built

On Pro and Enterprise, Couldi compares a new plan by meaning against every project your org has built here and the tools you have catalogued, and says so if something similar is already running.

Coordination

Stop paying three times for one dashboard.

Three teams run AI pilots and ship three versions of the same tool. Nobody was wrong — nobody could see the other two. Couldi reads the plan behind every project your org builds here and groups the overlaps by what they are for, not by what they are called, so “Ops Tracker” and “Delivery Status Board” come back as one cluster with an explanation of why. You get a written recommendation for what to keep and what to retire. Couldi never retires anything itself — you decide, and it records that you did.

How this works across an org →

Already running AI agents? →

Build is for turning a description into software. If you have agents working across repos already, Couldi Manage is the board where they propose work and you decide. It starts free and runs no AI of ours.

Built something on Couldi?

Don't describe it in a meeting — send the link. Here's how to make the case to your team.

Use cases

What people actually build.

Internal tools

Working front ends for the tools engineering never gets to.

Specialist teams

Tools for work only your experts understand.

Idea to spec

Prototypes and real specs, straight to engineering.

Founder MVP

Validate and ship v1s without touching the roadmap.

You own the code

Export everything. No lock-in — provably.

Security & governance

What your IT team will ask, answered.

How pricing works

Per-seat plans, monthly credits, and a cap your admin sets.

Somebody in your company already knows what to build. Give them the tool.

Add your company website and we'll send a personalised fit report — what you could build first. Your email needs to be at that same domain; if it isn't, we'll follow up by hand instead.