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How Aviso AI uses TrueFoundry

100+ Hours

“Save 100+ Hours of developer time per month”

As published on truefoundry.com. Checked by usedby on Oct 9, 2026.

What happened

Aviso AI's machine learning team uses TrueFoundry to move from AMI-based deployments to a Docker-based stack and to deploy open-source LLMs that power its AI assistant MIKI. The platform provides autoscaling, spot instance usage and a single dashboard for the team's deployments.

Summary written by usedby from the source page, in English. The figures are those of TrueFoundry and Aviso AI, not ours.

  • ~30-40%“Overall, the team realized a cloud cost savings of ~30-40%.”

Save 100+ Hours of developer time per month: The Machine Learning team moved to a docker-based environment, thereby reducing build times and facilitating easier local testing.

From the page. truefoundry.com

The team did not have to think about how to configure and manage resources.

Santosh SK Madilla, Principal Data Scientist at Aviso AI. Source

What the story claims, and what we checked

What we compared with the page.

  • The figure: 100+ HoursCheckedPrinted word for word on the page, near the name of Aviso AI.
  • The passage quoted aboveCheckedCopied word for word from the page, near the name of Aviso AI.
  • Aviso AI uses TrueFoundryCheckedConfirmed line.
  • The result itselfNot checkedWe quote it; we did not measure it.

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