Every product gets its own Product Agent.
Your teams have more ideas than capacity. Give each product a CORA — a full team of AI agents that shapes, builds, launches, and runs it — on your infrastructure, with one view of what everything costs and returns.
Every dollar of AI spend, tied to what it returned.
Every engineering organisation is buying AI. Uber spent its entire 2026 AI budget in four months, and its president said the link to customer value “is not there yet” — at a company with every advantage in measurement.
Budget figure: The Information, May 2026. Quote: Andrew Macdonald, President & COO, Uber, via Fortune, 26 May 2026.
ZB Stack keeps that link. Every change a CORA ships carries its cost and its measured result, so the spend and the outcome are the same record.
A full team of AI agents, on every system.
CORA coordinates the agents on each system — spec, design, build, QA, security, deploy, DevOps, and learning — and spawns more when a job needs one. Internal tools, customer products, or a prototype a team already started: each one gets the full Agentic Team.
On your infrastructure, under your rules.
A private deployment, decided and run by your DevOps Agent. Your data stays yours.
Your rules are set before anything is built.
Data boundaries, environment separation, access, secrets, and the things a product must never do — confirmed per system, before the interview becomes a build. Every change is checked against them, and every check lands in the record.
Every change, written down.
What it cost, who said yes, and what it did to the numbers — kept per change, per product, and across the portfolio. When someone asks what AI did for the business this quarter, the answer has rows in it.
Start free. Then priced to your portfolio.
Enterprise Product Launch Pad
First come, first servedthe full experience with CORA
For teams who want the loop proved on one system before anything is signed.
- The full experience with CORA — the whole team of AI agents
- One system, from the interview to a working release
- Security, compliance, and data requirements confirmed first
- Cancel anytime
ZB Stack for Enterprise
agreed per organisation — it grows with the portfolio
The full team of AI agents, the private deployment, and the record — from day one.
- Private deployment on your infrastructure
- The full team of AI agents on every system under management
- Day-and-night operations, SLA-backed
- The record: every change, its cost, its approver, and its measured result
Launch Pad places are onboarded first come, first served.
About one percent of what building systems like these used to cost.
One system, then the backlog.
The usual entry is a single internal system nobody has time to build — the long tail below the CIO’s line. It proves the loop at low stakes. After that it is the backlog, and eventually the modernisation programme that never has a good year to start.
Security, compliance, hosting, and data requirements are confirmed per system before anything is built.
Enterprise questions, answered straight.
Where does the software run?
On your infrastructure, under your rules — a private deployment decided and run by your DevOps Agent. A managed deployment on ours is available where that serves a system better, and the choice is made per system.
How are security and compliance handled?
Your rules are set per system before anything is built — data boundaries, environment separation, the things a product must never do — and every change is checked against them.
Who does the work — our teams or the agents?
The agents build. Your teams direct their own products and make the calls that need judgment; systems without a team run end to end inside the rules you set.
How do we know what the spend returned?
Every change carries its cost, its approver, and its measured result, and the portfolio view rolls those rows up. “What did AI actually do for us this quarter?” has an answer with rows in it.
What does it cost?
The Enterprise Product Launch Pad is $0 for 30 days — the full experience with CORA on one system, and you can cancel anytime. After that, pricing is custom: it covers the team of AI agents, the private deployment, day-and-night operations, and the record, and it grows with the portfolio. Procurement, compliance, and SLA terms are agreed per organisation before the first system is built.
What is the Enterprise Product Launch Pad?
Thirty days of the real thing, free: one system taken from the interview to a working release by CORA and its agents, with your security, compliance, and data requirements confirmed first. You can cancel anytime. Places are onboarded first come, first served.
How does an engagement start?
With a single internal system below the CIO’s line — proving the loop at low stakes, on your infrastructure. After that it is the backlog. Tell us about the first system: Apply for the Launch Pad →