SaaS Ranking

Alternatives to Deepen AI

Other Data labelling vendors we measure, sorted by how much they publish that Deepen AI does not. This is a comparison of disclosure, not of features or fitness.

12 shown of 29 that differ from Deepen AI on at least one criterion we measured for both. Public transparency score, not a product or security rating.

Deepen AI has 9 gaps in what we could measure: Data processing agreement, Subprocessor list, Status page with history, Public pricing, Certifications named, Uptime SLA with a figure, No third-party tracking before consent, security.txt (RFC 9116), Notice before subprocessors change. The column “publishes and Deepen AI does not” is the one that closes them.

VendorScorePublishes, and Deepen AI does notDeepen AI publishes, and they do not
HumanSignalhumansignal.com 43/100 4 Data processing agreement, Status page with history, Public pricing, +1 2 Data location stated, Named privacy contact Compare
Datasaurdatasaur.ai 43/100 3 Status page with history, Public pricing, Certifications named 1 Named privacy contact Compare
Hivethehive.ai 43/100 2 Status page with history, Public pricing nothing Compare
CVATcvat.ai 39/100 2 Status page with history, Public pricing 1 Named privacy contact Compare
Dataloopdataloop.ai 39/100 2 Status page with history, Certifications named nothing Compare
V7v7labs.com 35/100 2 Certifications named, security.txt (RFC 9116) nothing Compare
Kilikili-technology.com 26/100 2 Status page with history, Public pricing 2 Data location stated, Named privacy contact Compare
Labelboxlabelbox.com 22/100 2 Status page with history, Certifications named 2 Data location stated, Named privacy contact Compare
Anolyticsanolytics.ai 17/100 2 Certifications named, Uptime SLA with a figure 2 Data location stated, Named privacy contact Compare
Kognickognic.com 35/100 1 Status page with history nothing Compare
LXTlxt.ai 26/100 1 Certifications named 1 Named privacy contact Compare
Appenappen.com 22/100 1 Status page with history 1 Data location stated Compare

Only criteria we could measure for both are counted. Where we could measure one and not the other, the row is silent: that would be a statement about our measurement, not about either vendor. Every single result with its source is on the two profiles.