Build new — Built AI-native from the first commit. The second brain is written as the product is, not reconstructed afterwards from whatever survived. Nothing to migrate later. Nobody to staff it with.
AI-native software harness
An AI-native line that builds, refactors and sustains software.
Ithaca is a harness that installs inside your network and runs your software. It builds the products you have not started and re-fabricates the ones you inherited, then keeps both running for less than they cost you today. Your team draws the boundary.
The line motif shows two feeds — in, build new and in, re-fabricate legacy — merging into one belt. Both run the same line.
The cost today
Keeping software alive is now most of the work.
Old software does not sit still. It needs patching, and a migration nobody asked for, and someone who can still explain it to the next team. Every acquisition brings more. It is all done by hand, and the roadmap gets whatever people are left over.
Sustainment log — what this costs youLive
001The people who wrote the system have left.
002The runbook describes a version that no longer runs.
003A dependency upgrade takes a quarter.
004Nobody will touch the module that moves the money.
005Incidents are diagnosed from scratch.
006The new product waits its turn.
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Today
The work is industrial. The method is still artisanal.
The line
How the product is built and sustained.
The line — continuousOperated by AI · supervised by humansRunning
In — build new. In — re-fabricate legacy. Both run the same line. Station 01 second brain: codebase, docs, anonymized data — indexing. Station 02 build / refactor: new, born AI-native; legacy, modern, typed, AI-friendly — fabricating. Station 03 observability: instrumented end to end — live. Station 04 sustainment: tickets in, fixes out — human supervising.
In — build newIn — re-fabricate legacy↳Both run the same line
Origins
Two origins. One line.
One is a product nobody has written yet. The other is the one you cannot take offline.
Re-fabricate legacy — Read before anything is touched, then rebuilt typed and AI-friendly. It stays in production the whole way, replaced plank by plank. Nothing is frozen for a cutover.
Both origins leave on the same lineOut — AI-native by construction · operated by AI · supervised by your team
The proofs
The same platform, industrialized.
Deployment 01
Dr. Consulta · subscription platform
Eight years · origin B, re-fabricate legacy
InheritedOn the line
A featureInheritedtwo weeksOn the lineup to three days
A text changeInheriteda developerOn the linea product manager
MaintenanceInheritedby handOn the lineby the line
Infrastructure costInheritedthe inherited costOn the line−75%
Each charge and each invoice issues once; what a member buys works the moment it is bought.
One deployment · one measured figure · nothing here is invented
What installs
Your code never leaves your network.
The harness runs on your side of the firewall. No SaaS to upload to, no agency to brief.
Your groundYour cloud or your data center
Your identityEvery action logged and attributable
Your boundaryYour team sets what it may do alone
Request a deployment
Bring the line inside.
Pick the first thing it takes over: a product you have not started, or the one you can no longer afford to keep alive by hand. The deployment is configured with your team.
No public pricing.
AI-native software harness
Line status — running · Human · supervising© 2026 Ithaca