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How Aevy uses Hatchet

ConfirmedVendor case study · Checked Nov 13, 2026
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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.

50,000 documents

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.
Ymir Egilson, CTO, Aevy — Source

Other companies using Hatchet

Customers across industries, with public evidence.

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More stories

Go 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
hatchet.runCaptured Hatchet case study about AevyOpen 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.
From the page. hatchet.run