# DemandTools alternatives: what AI models name instead, November 2026

Gane Index, November 2026 Edition. 155 of the 252 answers in the 1 category where DemandTools holds a standing named it neither first nor as an alternative; these are the first choices those answers made. Page: https://www.gane.ai/index/gtm/vendors/demandtools/alternatives

## Named instead, most often (every category and segment added)

- Insycle: 48
- Dedupely: 26
- Cloudingo: 3
- Duplicate Check: 3
- Informatica Data Quality: 3
- WinPure Clean & Match: 3

## CRM data quality and deduplication

**Small business**: 70 of 84 answers did not name DemandTools (DemandTools is #4 of 11 at 6%).

- Insycle: first choice in 31 of those 70
- Dedupely: first choice in 16 of those 70
- WinPure Clean & Match: first choice in 3 of those 70
- Clearout: first choice in 1 of those 70
- Cloudingo: first choice in 1 of those 70
- Duplicate Check: first choice in 1 of those 70
- Findymail CRM Datacare: first choice in 1 of those 70
- HubSpot Data Quality Software: first choice in 1 of those 70

**Mid-market**: 47 of 84 answers did not name DemandTools (DemandTools is #3 of 13 at 4%).

- Insycle: first choice in 10 of those 47
- Dedupely: first choice in 8 of those 47
- Duplicate Check: first choice in 2 of those 47
- Apollo.io: first choice in 1 of those 47
- DataGroomr Deduplication: first choice in 1 of those 47
- Dedupely for HubSpot: first choice in 1 of those 47
- HubSpot CRM: first choice in 1 of those 47
- OpenRefine: first choice in 1 of those 47

**Enterprise**: 38 of 84 answers did not name DemandTools (DemandTools is #1 of 11 at 40%).

- Insycle: first choice in 7 of those 38
- Informatica Data Quality: first choice in 3 of those 38
- Cloudingo: first choice in 2 of those 38
- Dedupely: first choice in 2 of those 38
- Ataccama ONE: first choice in 1 of those 38
- Collibra Data Quality: first choice in 1 of those 38
- DemandTools from Validity: first choice in 1 of those 38
- HubSpot Operations Hub: first choice in 1 of those 38

Published under CC BY 4.0. The output is the models' output; nothing here is a recommendation by the index.