Pick one real item from your backlog. You get your own AI-MSL login, connect your repository, and watch that item go from ticket to tested code inside a week, with $2,000 in Dev credits on us and our engineers signing off every step. The code, the record and the assessment are yours to keep, whatever you decide next.
Trusted by product and enterprise teams
Every evaluation of AI software delivery hits the same walls. A slide cannot tell you what AI-MSL would do with your backlog, on your system, under your review. So we stopped asking you to imagine it. Hover a card.
A demo runs on someone else's codebase.
The pilot runs on yours, from your own login.
An assessment report lists work without showing what would be done about it.
The pilot takes an item through to tested code, item by item.
Handing over repository access stalls the conversation.
You connect the repository yourself. Nobody hands over access.
The question stays open: what am I really getting?
A day-7 review: what shipped, what it took, and what the same item costs you today.
Engineers try a tool. The business never sees the outcome.
The decision maker is in the room at the review, with the comparison in hand.
One real item, your code, the full AI-MSL lifecycle, and a result you can put next to what the same work costs you today.
Five steps, agreed before day one.
Something you would otherwise give to your team or your vendor: a maintenance item, a modernization step, a smaller feature. Not a toy.
From your own login. The automated assessment runs against the code as it is and shows what AI-MSL would do with it, item by item.
In writing: the item, the definition of done, how long and how much the same item takes you today, and the review date with the decision maker.
Requirements, specification, build, test and release, each gate reviewed and signed by an AI-MSL Engineer. You watch it happen in your workspace.
With the decision maker in the room: what shipped, what it took in Dev credits and in our hours, and what the same item costs you today.
Yours to keep
Whatever you decide next, these stay with you.
A production-ready branch for each item, with its tests and documentation.
The request, the approved scope, the specification, the sign-offs by name, the test results.
What AI-MSL found in your code, and what it would do about it.
Your time and cost for the same item today, next to what the pilot took.
Continue on a plan, scope the next piece of work, or stop. Nothing continues on its own.
Dev credits are the unit of work on AI-MSL plans. Each item is estimated and approved before it starts, and the pilot allowance is ours to cover.
Pilot, not trial. A trial asks you to learn a tool. This takes a real item off your plate: $2,000 of engineering on your own code, our engineers accountable at every gate, and nothing to pay for the pilot.
Who it is for
Not a greenfield idea with no engineering yet.
One you would otherwise hand to your team or a vendor.
In the pilot and at the day-7 review, not only an engineer.
Yourself, from your own login.
Probably not for you if the product has no engineering behind it yet, or if connecting a repository is off the table. In that case a conversation about plans is the better first step.
After the week
Decided at the day-7 review, with items done, Dev credits used, our hours, and your cost for the same item today on the table.
Reserved capacity for your backlog, the same lifecycle and record on every change.
See plans and pricingA quoted piece of work, sized from what the pilot showed.
The branch, the record and the assessment stay yours.
The $2,000 in Dev credits is on us. The pilot is scoped with you before day one, and what it took in Dev credits and in our engineers' hours is on the table at the day-7 review, next to what the same item costs you today. Plans and pricing come after, and only if you want to continue.
Dev credits are the unit of work on AI-MSL plans. Every Change is estimated in Dev credits and approved before work starts, so you know what an item will take before it begins. The pilot's $2,000 in Dev credits is enough for one or two backlog items.
No. You get your own AI-MSL login and connect the repository yourself. All code and artifacts stay in your repositories, and nothing is taken over.
It is yours. Each item is delivered as a production-ready branch in your repository with its tests and documentation, together with the record behind it and the assessment of your codebase, whether or not you continue.
Something you would otherwise give to your team or your vendor: a maintenance item, a modernization step, a smaller feature. Not a toy. We agree the item and what done looks like in writing before day one.
A named AI-MSL Engineer reviews and signs off every gate: requirements, specification, build, test and release. An AI Lifecycle Manager scopes the pilot with you and runs the day-7 review.
It is a complimentary pilot, not a trial. A trial asks you to learn a tool. This takes a real item off your backlog and runs the whole lifecycle on your own code, with our engineers accountable at every gate, and the $2,000 in Dev credits is on us.
Start with one item. We cover the credits.
Tell us the product and the item you have in mind. We agree the scope in one call, and your login is ready the same week.
Scoped with you by a CloudGeometry AI Lifecycle Manager.
Skip the demo. See what AI-MSL does with a real item from your backlog, under our engineers' sign-off, and decide with working code in front of you.
