Data Methodology: Adoption data is based on public tech stack disclosures, job postings, case studies, and verified enterprise reports analyzed by UsedBy.ai. Showing 43 verified enterprise adoptions. More data being indexed continuously.
Decision Guide
Which One Should You Choose?
Based on real enterprise adoption patterns
Choose Recall if...
- You're in Sales Tech & CRM (34% of users are)
- You want the most validated option (31+ enterprises)
UsedBy Exclusive Data
Industry Adoption Patterns
See which industries prefer each tool based on real adoption data
LangSmith by Industry
HR & Recruiting17%
Data & Analytics8%
Cybersecurity8%
Retail8%
Energy, Utilities & Cleantech8%
Recall by Industry
Recall is the go-to choice for Sales Tech & CRM (34% of adopters)
Sales Tech & CRM34%
HR & Recruiting17%
Marketing Tech9%
DevTools & Infrastructure6%
Artificial Intelligence6%
Real User Feedback
What Users Say
Testimonials from verified enterprise users
“Our Copilot saves property managers 10+ hours weekly thanks to LangSmith observability”
AppFolio Team
Product Engineering, AppFolio
“Not having to build it ourselves it allowed us to get the solution we needed, but also spend our limited development resources on other things that would add more value to our customers.”
Phil Costa
SVP of Product Development, Allego
1 Companies Use Both
These enterprises have integrated both tools into their stack
LangSmith vs Recall: Your Questions Answered
Recall leads in enterprise adoption with 31 companies, versus 12 for LangSmith. This indicates broader market acceptance for Recall.
Yes, 1 companies in our database use both LangSmith and Recall in their tech stack. This includes Rippling. Using both tools together is a validated enterprise strategy.
LangSmith is particularly strong in HR & Recruiting (17% of adopters), while Recall dominates in Sales Tech & CRM (34%). Choose based on your industry's prevailing stack.
For startups, consider: LangSmith offers flexible pricing, while Recall uses freemium pricing. Both are validated by enterprise use, ensuring scalability as you grow.
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