How Atomicwork uses Cohere
Atomicwork built Atom AI, a digital IT support assistant, on Cohere's Command R+ and Rerank models using retrieval-augmented generation. It lets employees find answers from enterprise knowledge sources directly in Slack and Microsoft Teams.
View captured proofThe use case: how Atomicwork deploys Cohere
Atomicwork built Atom AI, a digital IT support assistant, using Cohere's Command R+ and Rerank with retrieval-augmented generation. It lets employees find answers from enterprise knowledge sources directly in tools like Slack and Microsoft Teams.
More reported results
Figures published in Cohere’s case study. They are not independently measured by usedby.
75% improvement to latency
168% accuracy improvement over competitive models like GPT3.5
In the customer’s words
The Cohere team have been incredibly helpful design partners, collaborating closely with us — sharing best practices and guidelines, even helping tune prompts for very specific use cases for which we use the Cohere models.Other AI tools used by Atomicwork
Other public relationships recorded on usedby.
Explore Atomicwork’s AI stack
Cohere users in IT Services & System Integration
Companies in the same sector, with public evidence.
See all Cohere customers
Go straight to the source
Based on Cohere’s published case study. We check the public evidence; the results are reported by the vendor.
cohere.com- Last checked
- Oct 3, 2026
Open source capture What the story claims, and what we checked
What we compared with the page.
- The figure: 20%Checked
The figure is on the page; its label is our wording.
- The passage quoted aboveChecked
Copied word for word from the page, near the name of Atomicwork.
- Atomicwork uses CohereChecked
Confirmed line.
- The result itselfNot checked
We quote it; we did not measure it.
After running evaluation benchmarks, Atomicwork saw a 20% improvement in accuracy using Cohere Rerank. And using Cohere models, the solution performed well across established metrics with 75% improvement to latency and 168% accuracy improvement over competitive models like GPT3.5.