SaaS Ranking

Alternatives to Kognic

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

12 shown of 30 that differ from Kognic on at least one criterion we measured for both. Public transparency score, not a product or security rating.

Kognic has 8 gaps in what we could measure: Data processing agreement, Subprocessor list, 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 Kognic does not” is the one that closes them.

VendorScorePublishes, and Kognic does notKognic publishes, and they do not
HumanSignalhumansignal.com 43/100 3 Data processing agreement, Public pricing, Certifications named 2 Data location stated, Named privacy contact Compare
Datasaurdatasaur.ai 43/100 2 Public pricing, Certifications named 1 Named privacy contact Compare
V7v7labs.com 35/100 2 Certifications named, security.txt (RFC 9116) 1 Status page with history Compare
Anolyticsanolytics.ai 17/100 2 Certifications named, Uptime SLA with a figure 3 Data location stated, Status page with history, Named privacy contact Compare
Hivethehive.ai 43/100 1 Public pricing nothing Compare
CVATcvat.ai 39/100 1 Public pricing 1 Named privacy contact Compare
Dataloopdataloop.ai 39/100 1 Certifications named nothing Compare
Kilikili-technology.com 26/100 1 Public pricing 2 Data location stated, Named privacy contact Compare
LXTlxt.ai 26/100 1 Certifications named 2 Status page with history, Named privacy contact Compare
Labelboxlabelbox.com 22/100 1 Certifications named 2 Data location stated, Named privacy contact Compare
Segments.aisegments.ai 22/100 1 Public pricing 3 Status page with history, HTTPS enforced with HSTS, Named privacy contact Compare
clickworkerclickworker.com 18/100 1 Certifications named 3 Status page with history, HTTPS enforced with HSTS, Named privacy contact 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.