The use case: how Laude Institute deploys Daytona
Laude Institute runs Terminal Bench, a benchmark of AI agents' terminal skills, and uses Daytona's managed runtime to provision thousands of isolated, parallel sandboxes on demand instead of a few local Docker containers. Research teams build task-specific environments from Dockerfiles and reuse snapshots to run agent and model experiments at scale.
More reported results
Figures published in Daytona’s case study. They are not independently measured by usedby.
100x experiment throughput compared to Docker
30% faster task completion with optimized cloud orchestration
In the customer’s words
Daytona enabled us to scale our AI evaluation framework from running 4-6 containers locally to thousands in parallel across the cloud. It completely transformed how we support AI labs benchmarking their agents.Other companies using Daytona
Customers across industries, with public evidence.
AfterQueryConfirmed
AsteroidConfirmed
BenchFlowConfirmed
CapyConfirmed
HandshakeConfirmed
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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With Daytona, Laude scaled Terminal Bench's infrastructure to match its rapid industry adoption. AI research teams worldwide now run thousands of parallel experiments simultaneously, validating their agents faster to accelerate breakthroughs and drive innovation across industries.