The use case: how Capy deploys Daytona
Capy runs each of its Build AI coding agents in its own dedicated Daytona sandbox, where agents write files, install dependencies and run test suites. Sandboxes persist for long-running tasks, can be paused and restored, and are torn down automatically when tasks finish.
More reported results
Figures published in Daytona’s case study. They are not independently measured by usedby.
3 months saved on sandbox infrastructure engineering
7-day workflows running on Daytona’s sandboxes
In the customer’s words
Our developers run thousands of parallel AI agents on our platform every week, and each one demands a dedicated sandbox. This is all running on Daytona.Other companies using Daytona
Customers across industries, with public evidence.
AfterQueryConfirmed
AsteroidConfirmed
BenchFlowConfirmed
HandshakeConfirmed
Laude InstituteConfirmed
MartianConfirmedGo straight to the source
Based on Daytona’s published case study. We check the public evidence; the results are reported by the vendor.
daytona.io- Last checked
- Oct 27, 2026
Open source capture What the story claims, and what we checked
What we compared with the page.
- The figure: 100kChecked
Printed word for word on the page, near the name of Capy.
- The passage quoted aboveChecked
Copied word for word from the page, near the name of Capy.
- Capy uses DaytonaChecked
Confirmed line.
- The result itselfNot checked
We quote it; we did not measure it.
With Daytona, Capy has the secure sandbox infrastructure to run thousands of AI agents tackling complex engineering tasks simultaneously.