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Method v1.6As At 2026-08-1423 Surfaces Read1 Offering Assessed

Your own published record, as at 2026-08-14.

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

Zite's app building service uses the Fillout subprocessors listed above, plus the following additional subprocessors specific to the Zite service:
Closed enumeration. Searched for open-ended wording ('including but not limited to', 'such as', 'among others', 'may include', 'from time to time'): none present. · Source
User data obtained through Google Workspace APIs will not be used to develop, improve, or train generalized AI and/or machine learning models.
The only anti-training wording sits in the privacy notice and is scoped to Google Workspace API data. No instrument addresses training on form submission data. · Source
Render (infrastructure on AWS) | Hosting and storage | US and EU (EU only for EU submission hosting customers)*
Country column names United States and the European Union, with Canada and Australia named in the footnote as enterprise options. · Source

Parties You Name22

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 23 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 2026-08-14
Standards Commit
3487bce7d591
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 2026-08-14. Correspondence route as recorded on this card input: ror@blacksnowintel.com.

What A Machine Could Not Establish3

3 questions are open and 5 are established, read as at 2026-08-14 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://www.fillout.com/privacy. 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.