One product brain across every tool you already use.
Your requirements are in one place, your decisions in another, your delivery in a third, and your evidence in a fourth. CORA holds them as one continuously updated product system — so context stops leaking between tickets, tools, and people.
Context is the thing your team keeps losing.
The reasoning behind a decision lives in a thread nobody can find. The person who knew why the architecture works that way has moved teams. Half of every planning meeting is reconstruction — re-deriving what was already decided, and paying for it twice.
AI has made this worse, not better: more code, produced faster, by more tools, with less of the thinking written down anywhere durable.
Rework is what context loss costs, and it never shows up as a line item.
It carries the product, so your people don’t have to.
Shared context
Requirements, architecture, decisions, costs, releases, and outcomes in one place — updated as work happens, not when someone remembers to write it down.
Traceable decisions
Every change links back to the customer need it came from and forward to the number it moved. Ask “why is this here?” and get an answer.
Release planning that knows
CORA proposes the next release from evidence — what shipped, what worked, what the backlog is actually worth — and your team decides.
Less rework
The tenth change starts from what the first nine learned, so the cost curve stops bending upward.
Delivery, coordinated
CORA runs the build with the tools you already approve, inside the budget you already set.
Your specialists, amplified
Your architects, designers, and engineers make the calls that need judgment. CORA carries the context, the coordination, and the paperwork between them.
Start with one product. Not the whole portfolio.
The fastest way in is a single product: let CORA hold its context and plan its next release, and read the record for a month. Build and runtime come after — once the team trusts what it is reading.
Week one
The interview. CORA learns the product, the customers, and the constraints.
Month one
Product memory and release planning, with the record filling in.
After that
Build and runtime, at whatever autonomy level your team sets.
Your team sets how far CORA goes.
Recommend, prepare, ship with approval, or ship within rules you set — per product, per kind of change, changeable at any time.