Black Snow IntelligenceBlack Snow Intelligence
Black Snow Report

Softr

Method v1.6As At 2026-08-0711 Surfaces Read1 Offering Assessed

Your own published record, as at 2026-08-07.

Your Details

The Macro Picture17

Red · Adverse
5
of 17 banded observations across 1 offering band Adverse. 2 were never measured.

What Is Published8

Your Own Words3

the EU Commission has decided as part of an adequacy decision in accordance with Art. 45 para. 3 GDPR that the third country ensures an adequate level of protection
Privacy Policy, per-recipient transfer blocks for the Hong Kong recipient and the Australia recipient. Verified against the European Commission's published adequacy list on 2026-08-07 under Doctrine rule 4.9: neither Hong Kong nor Australia appears, and the United States appears only as commercial organisations participating in the EU-US Data Privacy Framework. Classified Claimed -- Contradicted, on two independent sources: the Commission's live list, and the same document's own s1.3. · Source
the applicable Module Three (Transfer processor to processor) of the EU Standard Contractual Clauses as of 2021
Data Processing Agreement s5.6 -- the correct module for the disclosed processor-to-processor role pairing · Source
The transfer of personal data to a country outside the EEA takes place on the legal basis adequacy decision.
Privacy Policy, per-recipient transfer blocks -- a country and a basis are stated for each named website-side recipient · Source

Parties You Name28

See which of these are assessed in this register

Register Check3

AI Role By Offering1

Assessment Basis

Produced under Method v1.6 from the entity's fact record. 8 of 8 observations were measured under that generation; the rest read Not Measured, which is a fact about this register's coverage and not a finding about the entity.

Read from 11 first-party surface(s) across 1 assessed offering(s), found by the entity's own link graph and sitemap rather than by guessed paths.

Fact Record
Version 1.0, dated 2026-08-07
Standards Commit
9199ac5c4731
Register Control Quality
Both Views

Verification And Challenge

Every finding on this record is a statement about what could be read on your own published surfaces as at 2026-08-07. Correspondence route as recorded on this card input: ror@blacksnowintel.com.

What A Machine Could Not Establish4

4 questions are open and 4 are established, read as at 2026-08-07 under method v1.6.

The One Thing To Publish First

Publish it: say whether customer data is used to train AI models.

Red · AdverseTraining On Customer Data

Training Exclusion Instrument: None

Where To Put It

This was read on your own page at https://softr-assets-eu-shared.s3.eu-central-1.amazonaws.com/legal/. That is the page a reader already reaches for and does not find it on, so it is the page to correct first.

Where Others Stand

24 organisations in the register say whether customer data is used to train AI models. You do not.

What A Published Answer Looks Like

We will not use your data to train our AI or language models. We will not store your data except for the purpose of providing you with access to our platform and to the AI Functionality.

A question answered plainly in public, by an organisation read as Strong on it. It is not an endorsement of the position the sentence states — Black Snow reads what is published and never recommends what to practise. Read on published terms. Claim tier Quoted. The organisation that published it is not named. A name in the original is replaced; nothing else in the sentence is changed.

One is named here, and one is deliberate. The rest of the open questions are listed below without a prescription; what to publish for each, in what order, and drafted machine-readable evidence for all of them, is the Deep Dive.

Still Open

Deep Dive

The full assessment, plus consulting on what to fix.

Reviewing your record is free.