The use case: how Stimuler deploys Anyscale
Stimuler runs an English speech coaching platform made of four model stacks and uses Ray on Anyscale to deploy, autoscale and manage them on AWS. The ML team uses Anyscale Workspaces for experimentation and training and Anyscale Jobs for benchmarking.
More reported results
Figures published in Anyscale’s case study. They are not independently measured by usedby.
now serving more than 15 million users across Indonesia and Spanish-speaking Latin America
Ray and Anyscale let a four-person team scale each one independently across 900,000 daily sessions.
In the customer’s words
Anyscale has been instrumental in deploying, maintaining, and autoscaling Ray deployments for us. Our whole way of building is intertwined with Anyscale, and we feel comfortable depending on the platform.Other companies using Anyscale
Customers across industries, with public evidence.
AttentiveConfirmed
Bedrock RoboticsConfirmed
BonsaiConfirmed
CanvaConfirmed
Chef RoboticsConfirmed
CoactiveConfirmedGo straight to the source
Based on Anyscale’s published case study. We check the public evidence; the results are reported by the vendor.
anyscale.com- Last checked
- Oct 20, 2026
Open source capture What the story claims, and what we checked
What we compared with the page.
- The figure: 900,000Checked
Printed word for word on the page, near the name of Stimuler.
- The passage quoted aboveChecked
Copied word for word from the page, near the name of Stimuler.
- Stimuler uses AnyscaleChecked
Confirmed line.
- The result itselfNot checked
We quote it; we did not measure it.
Anyscale's managed Ray clusters absorb all of that automatically since the company's early days, freeing a three-person team to process more than 900,000 speeches daily across heterogeneous CPU and GPU workloads