# How Aviso AI uses TrueFoundry

**100+ Hours**: “Save 100+ Hours of developer time per month”

As published on [truefoundry.com](https://www.truefoundry.com/case-studies/generative-ai-tech-stack-aviso-ai). Captured by usedby on 2026-10-09.

- Company: [Aviso AI](https://www.usedby.ai/companies/aviso-ai.md)
- Tool: [TrueFoundry](https://www.usedby.ai/tools/truefoundry.md)
- Industry: [Sales Tech & CRM](https://www.usedby.ai/companies/industry/sales-tech-crm.md)
- Teams: Machine Learning team

## What the story says

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.

> 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.

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

> The team did not have to think about how to configure and manage resources.
>
> Santosh SK Madilla, Principal Data Scientist at Aviso AI

Source: [truefoundry.com](https://www.truefoundry.com/case-studies/generative-ai-tech-stack-aviso-ai), captured 2026-10-09.

## What usedby checked

We compared the story with its live page on 2026-10-09.

- Checked: the figure 100+ Hours is printed word for word on the page, near the name of Aviso AI.
- Checked: the passage quoted above is copied word for word from the page, near the name of Aviso AI.
- Checked: Aviso AI uses TrueFoundry. Confirmed line. Latest check across sources: 2026-10-09.
- Not checked: the result itself. We quote it; we did not measure it.

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Source: https://www.usedby.ai/case-studies/aviso-ai-truefoundry · How we check: https://www.usedby.ai/methodology