The use case: how Handshake deploys Daytona
Handshake uses Daytona's sandbox infrastructure to run reinforcement learning environments for frontier AI labs, provisioning isolated sandboxes on demand for models to attempt expert-created tasks. Snapshots and SSH access let the team reproduce runs and inspect model trajectories.
In the customer’s words
With Daytona, we can effortlessly scale to thousands of sandboxes, and each starts fast, regardless of the image complexity. Our experts see tasks running within seconds of submitting them, which is critical for us.Other AI tools used by Handshake
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Other companies using Daytona
Customers across industries, with public evidence.
AfterQueryConfirmed
AsteroidConfirmed
BenchFlowConfirmed
CapyConfirmed
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
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- The figure: 1K+Checked
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- The passage quoted aboveChecked
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- Handshake uses DaytonaChecked
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- The result itselfNot checked
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By partnering with Daytona, Handshake launched and scaled its RLE platform without the overhead of managing sandbox infrastructure in-house.