The use case: how Aevy deploys Hatchet
Aevy uses Hatchet to orchestrate AI document processing workflows for solar and wind farm assets, running tasks in parallel and giving domain experts a UI to review extraction results. They self-host Hatchet to meet security requirements for critical infrastructure data.
More reported results
Figures published in Hatchet’s case study. They are not independently measured by usedby.
For large assets, document processing can involve up to 50,000 documents per project, with their previous setup taking almost a week to complete processing.
In the customer’s words
That UI in itself was more than worth the switching costs of going over to Hatchet.Other companies using Hatchet
Customers across industries, with public evidence.
See all Hatchet customersGo straight to the source
Based on Hatchet’s published case study. We check the public evidence; the results are reported by the vendor.
hatchet.run- Last checked
- Nov 13, 2026
Open source capture What the story claims, and what we checked
What we compared with the page.
- The figure: under an hourChecked
Printed word for word on the page, near the name of Aevy.
- The passage quoted aboveChecked
Copied word for word from the page, near the name of Aevy.
- Aevy uses HatchetChecked
Confirmed line.
- The result itselfNot checked
We quote it; we did not measure it.
Parallel Processing at Scale: Hatchet enables Aevy to process up to 50,000 documents in under an hour through optimized parallel execution, compared to nearly a week with their previous setup.






