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
Make by Industry
Make is the go-to choice for Artificial Intelligence (100% of adopters)
Artificial Intelligence100%
Twin AI by Industry
Twin AI is the go-to choice for Management Consulting (100% of adopters)
Management Consulting100%
Make vs Twin AI: Your Questions Answered
Make has higher enterprise adoption with 2 companies using it, compared to 1 for Twin AI. This suggests stronger market validation for Make.
While our data doesn't show companies currently using both tools together, they serve similar purposes and could potentially complement each other.
Make is particularly strong in Artificial Intelligence (100% of adopters), while Twin AI dominates in Management Consulting (100%). Choose based on your industry's prevailing stack.
For startups, consider: Make offers flexible pricing, while Twin AI uses freemium pricing. Both are validated by enterprise use, ensuring scalability as you grow.
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