SaaS Ranking

Alternatives to Beautiful.ai

Other Document collaboration vendors we measure, sorted by how much they publish that Beautiful.ai does not. This is a comparison of disclosure, not of features or fitness.

12 shown of 25 that differ from Beautiful.ai on at least one criterion we measured for both. Public transparency score, not a product or security rating.

Beautiful.ai has 7 gaps in what we could measure: Data processing agreement, Subprocessor list, Status page with history, Uptime SLA with a figure, No third-party tracking before consent, security.txt (RFC 9116), Notice before subprocessors change. The column “publishes and Beautiful.ai does not” is the one that closes them.

VendorScorePublishes, and Beautiful.ai does notBeautiful.ai publishes, and they do not
FigJamfigma.com 87/100 5 Data processing agreement, Subprocessor list, Status page with history, +2 nothing Compare
Createlycreately.com 70/100 3 Data processing agreement, Subprocessor list, Notice before subprocessors change 1 Named privacy contact Compare
Conceptboardconceptboard.com 52/100 2 Data processing agreement, No third-party tracking before consent 1 Public pricing Compare
Cacoonulab.com 48/100 2 Status page with history, security.txt (RFC 9116) 1 Certifications named Compare
Stormboardstormboard.com 52/100 1 Subprocessor list nothing Compare
Gliffygliffy.com 48/100 1 Status page with history nothing Compare
Ayoaayoa.com 43/100 1 No third-party tracking before consent 1 Named privacy contact Compare
Collaboardcollaboard.app 43/100 1 Data processing agreement 2 Certifications named, Named privacy contact Compare
Lucidchartlucid.co 43/100 1 Status page with history 1 Named privacy contact Compare
Muralmural.co 43/100 1 Status page with history 1 Named privacy contact Compare
Cryptpadcryptpad.org 26/100 1 No third-party tracking before consent 3 Data location stated, Certifications named, Named privacy contact Compare
HedgeDochedgedoc.org 17/100 1 No third-party tracking before consent 4 Data location stated, Public pricing, Certifications named, +1 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.