Data Methodology: Adoption data is based on public tech stack disclosures, job postings, case studies, and verified enterprise reports analyzed by UsedBy.ai. Showing 23 verified enterprise adoptions. More data being indexed continuously.
Decision Guide
Which One Should You Choose?
Based on real enterprise adoption patterns
UsedBy Exclusive Data
Industry Adoption Patterns
See which industries prefer each tool based on real adoption data
Relevance AI by Industry
Data & Analytics19%
Sales Tech & CRM13%
Marketing Tech6%
E-commerce & D2C6%
Accounting & Audit6%
Akira by Industry
Akira is popular in Media & Publishing with 29% adoption
Media & Publishing29%
Streaming & Content14%
HR & Recruiting14%
DevTools & Infrastructure14%
Telecommunications14%
Relevance AI vs Akira: Your Questions Answered
Relevance AI has higher enterprise adoption with 16 companies using it, compared to 7 for Akira. This suggests stronger market validation for Relevance AI.
While our data doesn't show companies currently using both tools together, they serve similar purposes and could potentially complement each other.
Relevance AI is particularly strong in Data & Analytics (19% of adopters), while Akira dominates in Media & Publishing (29%). Choose based on your industry's prevailing stack.
For startups, consider: Relevance AI offers freemium pricing, while Akira uses freemium pricing. Both are validated by enterprise use, ensuring scalability as you grow.
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