Data Methodology: Adoption data is based on public tech stack disclosures, job postings, case studies, and verified enterprise reports analyzed by UsedBy.ai. Showing 3 verified enterprise adoptions. More data being indexed continuously.
Decision Guide
Which One Should You Choose?
Based on real enterprise adoption patterns
Choose Make if...
- You're in Artificial Intelligence (100% of users are)
- You want the most validated option (2+ enterprises)
UsedBy Exclusive Data
Industry Adoption Patterns
See which industries prefer each tool based on real adoption data
Twin AI by Industry
Twin AI is the go-to choice for Management Consulting (100% of adopters)
Management Consulting100%
Make by Industry
Make is the go-to choice for Artificial Intelligence (100% of adopters)
Artificial Intelligence100%
Twin AI vs Make: Your Questions Answered
Make leads in enterprise adoption with 2 companies, versus 1 for Twin AI. This indicates broader market acceptance for Make.
While our data doesn't show companies currently using both tools together, they serve similar purposes and could potentially complement each other.
Twin AI is particularly strong in Management Consulting (100% of adopters), while Make dominates in Artificial Intelligence (100%). Choose based on your industry's prevailing stack.
For startups, consider: Twin AI offers freemium pricing, while Make uses competitive pricing. Both are validated by enterprise use, ensuring scalability as you grow.
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