The factory already delivered. Here are the receipts.
Before it was an appliance, the CodeBoxx AI-native software factory shipped real platforms for real clients. Seven of them, project by project, against what the same work cost a traditional team in 2022.
- 5.2×faster
- Average of the four benchmark studies
- 78%cheaper
- Than a traditional team, same studies
- $14.9Msaved
- Across all seven platforms
What the factory saved
Seven platforms, one pattern.
Each bar is what the work would have cost, or taken, with a traditional 2022 team. The blue part is what the factory actually needed. Select a platform to see what was built.
Amounts in each project’s own currency (CAD, or USD for two of them), shown at parity. Ranges use their midpoint.
How to read these numbers
What is measured, and what is estimated.
Amounts billed, dates, headcount, commits and delivered scope, from contracts, purchase orders, delivery reports and affidavits.
The traditional 2022 team, timeline and cost, based on day rates and cycles observed on comparable mandates from 2019 to 2023. The warehouse system is the exception: its comparison is a real vendor bid.
The 5.2× and 78% headline averages apply to the four benchmark studies only. The other platforms are additional proof and are not counted in those averages.
Your business case
Put your own roadmap through the factory.
Describe one project the way you would staff it today. The builder applies the gains the factory has actually shown and turns them into numbers you can take to your leadership team.
A team of 8 people for 18 months costs about $2.2M. Applying the Benchmark results, the factory delivers the same scope in about 3.5 months for about $475K: $1.7M saved and 15 months to market gained. At 2 project(s) a year, that is $3.4M of build cost avoided annually.
Projections apply multiples the factory has achieved on past delivery. They are not a quote or a guarantee; your results depend on scope and context. The appliance’s own price is set in your configuration.