# Decagon vs Sierra: who uses which

On usedby, 43 companies use Decagon and 50 use Sierra. 2 companies use both, including Chime and Fanatics. Counts include every proof level, job-post signals included. Companies named on both have a confirmed or observed line on each side. Latest check 2026-10-07: 93 of 93 public lines checked.

## Side by side

|  | [Decagon](https://www.usedby.ai/tools/decagon.md) | [Sierra](https://www.usedby.ai/tools/sierra.md) |
|---|---|---|
| Public customers | 43 | 50 |
| Confirmed | 23 | 37 |
| Observed | 20 | 13 |
| Signals (job posts) | 0 | 0 |
| Top industries of customers | Fintech & Payments (4), DevTools & Infrastructure (3), HealthTech & Digital Health (3) | Fintech & Payments (5), Telecommunications (3), Banking & Mortgages (2) |
| Category | Customer Service Automation | Customer Service Automation |
| Integrations | Salesforce, Intercom, Zendesk, Confluence, Contentful, Kustomer, Amazon Connect, RingCentral, Zendesk Sunshine ([decagon.ai](https://decagon.ai/product/integrations), checked 2026-10-04) | — |
| Data processing terms | — | A data processing agreement is available. ([sierra.ai](https://sierra.ai/privacy-policy), checked 2026-10-04) |

## Companies named on both

Confirmed or observed on each side. The first public proof is not an adoption date.

| Company | First public proof, Sierra |
|---|---|
| [Chime](https://www.usedby.ai/companies/chime.md) | On or before December 2025 |
| [Fanatics](https://www.usedby.ai/companies/fanatics.md) | On or before July 2026 |

## Published results

Reviewed stories only; usedby did not measure the figures.

- Decagon: [NG.CASH](https://www.usedby.ai/case-studies/ng-cash-decagon.md): **35 additional agents**: “Avoided the need to hire over 35 additional agents while managing growing inquiry volumes” (published 2026-07-28)
- Decagon: [Notion](https://www.usedby.ai/case-studies/notion-decagon.md): **34%**: “ticket resolution time improved up to 34%” (published 2026-07-28)
- Sierra: [RunBuggy](https://www.usedby.ai/case-studies/runbuggy-sierra.md): **1,000 hours**: “Nearly 1,000 hours per month returned to exception handling and high-value work” (published 2026-02-03)
- Sierra: [Next](https://www.usedby.ai/case-studies/next-sierra.md): **6 weeks**: “Time to live 6 weeks” (published 2026-02-25)

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Source: https://www.usedby.ai/compare/decagon-vs-sierra · How we check: https://www.usedby.ai/methodology