# Encord vs Hugging Face: who uses which

On usedby, 25 companies use Encord and 10 use Hugging Face. 1 company uses both, including UIPath. 1 of them is known through a job post (the weakest proof) on at least one side. Counts include every proof level, job-post signals included; each company keeps its proof level on each side. Latest check 2026-10-11: 35 of 35 public lines checked.

## Side by side

|  | [Encord](https://www.usedby.ai/tools/encord.md) | [Hugging Face](https://www.usedby.ai/tools/hugging-face.md) |
|---|---|---|
| Public customers | 25 | 10 |
| Confirmed | 11 | 0 |
| Observed | 14 | 8 |
| Signals (job posts) | 0 | 2 |
| Top industries of customers (every proof level) | Artificial Intelligence (15), Hospitals & Care Providers (2), Aerospace & Defense (1) | Artificial Intelligence (4), Marketing Tech (2), DevTools & Infrastructure (1) |
| Category | ML Ops & Training | ML Ops & Training |
| Data residency | US, EU ([encord.com](https://encord.com/security/), checked 2026-10-07) | — |
| Integrations | AWS S3, Azure Data Lake Storage, Google Cloud Storage ([encord.com](https://encord.com/cloud-integrations/), checked 2026-10-07) | — |
| Pricing | — | PRO: $9 /month; Team: $20 /month per user; Enterprise: $50 /month per user ([huggingface.co](https://huggingface.co/pricing), checked 2026-10-08) |

## Companies that use both

Every proof level counts; the proof level of each side is shown, strongest proofs first. The first public proof is not an adoption date.

| Company | Proof, Encord | Proof, Hugging Face | First public proof, Encord | First public proof, Hugging Face |
|---|---|---|---|---|
| [UIPath](https://www.usedby.ai/companies/uipath.md) | Confirmed | Signal (job post) | On or before July 2025 | Job post, August 2026 |

## Published results

Reviewed stories only; usedby did not measure the figures.

- Encord: [OnsiteIQ](https://www.usedby.ai/case-studies/onsiteiq-encord.md): **75%**: “75% reduction in time to value – implementation time decreased from 2 months to just 2 weeks” (published 2026-04-02)
- Encord: [Thoro.ai](https://www.usedby.ai/case-studies/thoro-encord.md): **50%**: “The team estimates they are at least 50% faster compared to earlier stages of the project” (published 2026-04-28)

---
Source: https://www.usedby.ai/compare/encord-vs-hugging-face · How we check: https://www.usedby.ai/methodology