6 days → <2 hours
Time to deploy a service
As published on truefoundry.com. Captured by usedby on Oct 6, 2026.
What happened
examroom.ai, an AI-first assessment platform for universities and certification bodies, deploys its AI services on TrueFoundry and uses the TrueFoundry AI Gateway as a control plane for observability, guardrails and fallbacks across its AI solutions.
Summary written by usedby from the source page, in English. The figures are those of TrueFoundry and examroom.ai, not ours.
- 500,000“Scaled from 5 test users to 500,000 production users across the assessment lifecycle.”
- 94“94 services run on TrueFoundry across prod, staging, UAT, QA, and dev — with GPU autoscaling on spot + on-demand fallback, per-service cost tracking, and centralized logs and latency metrics.”
- Three“Three dedicated ML Ops engineers were freed from cluster management to focus on product.”
Deployment time fell from 6 days to under 2 hours — a step change in release velocity.
Now we don’t need to work on that, because we shifted to TrueFoundry. You just need to push the containers, and it automatically takes care of spinning up all the servers with minimum clicks. You can manage compute, you can manage cost, you can see all of it visually. That shifted from 6 days to less than 2 hours for us.
What the story claims, and what we checked
We compared the story with its live page on Oct 6, 2026.
- The figure: 6 days → <2 hoursCheckedThe figure is on the page; its label is our wording.
- The passage quoted aboveCheckedCopied word for word from the page, near the name of examroom.ai.
- examroom.ai uses TrueFoundryCheckedConfirmed line. Latest check across sources: Oct 6, 2026.
- The result itselfNot checkedWe quote it; we did not measure it.




