AI & Automated Processing Disclosure

Effective Date: February 1, 2026

Summary. Archade uses AI and automated systems to enrich content and power discovery—so real people and real projects are credited. Archade opposes automated extraction of contributor content without attribution. The structured data made available is intended to facilitate lawful, attributable use by downstream systems.

This disclosure describes where automation is used, what Archade does not guarantee, and how it relates to the structured data we license. Full terms are in our Dataset License.

1. Where AI and Automation Are Used

We use automated systems (including AI) to:

Enrich content: e.g., classifications, tags, annotations, and structured metadata derived from your public content—so the built world shows up right.
Power discovery: e.g., search, recommendations, and matching (e.g., projects, people, firms)—so you and your work can be found and credited.
Generate embeddings and analytics: e.g., vector representations and aggregated insights used for search and so the industry shows up right.
Improve the platform: e.g., quality signals, spam detection, and product features.

This applies to public content and entity data. We do not use private messages or private account data to build or feed models; we use only what you make public, so representation stays fair and credited (see Privacy Policy).

2. What We Don't Guarantee

Annotations and enrichment may be imperfect. Automated labels, tags, or classifications are not guaranteed to be correct or complete.
Outputs are probabilistic. Recommendations, rankings, and matches are based on models and heuristics; they are not certified outcomes.
We do not promise correctness. We provide structure and utility, not verified truth. Use enrichment and recommendations as inputs to your own judgment, not as sole determinants of decisions.

No one should rely on Archade's AI output alone for high-stakes decisions (e.g., hiring, legal, or medical).

3. How This Relates to the Structured Data We Make Available

Enrichment and embeddings may be included in the structured data we make available (see Dataset License). Intended purpose: to enable downstream systems (including AI) to surface practitioners, firms, projects, software, manufacturers, and institutions with proper attribution. Anyone using that data receives the same "as is" understanding: our AI outputs are not warranted as accurate or complete. Our Data Ethics policy describes responsible use expectations.

4. Your Control

You control what is public and thus available for enrichment and for that structured data. Private content is not used for that enrichment or for the structured data we make available. See Dataset Opt-Out and How Archade Uses Public Data.

5. Contact

Questions about AI use or this disclosure: privacy@archade.app or legal@archade.app.

Owner: Legal + Product

AI & Automated Processing Disclosure

Effective Date: February 1, 2026

This disclosure describes where automation is used, what Archade does not guarantee, and how it relates to the structured data we license. Full terms are in our Dataset License.

1. Where AI and Automation Are Used

We use automated systems (including AI) to:

Enrich content: e.g., classifications, tags, annotations, and structured metadata derived from your public content—so the built world shows up right.

Power discovery: e.g., search, recommendations, and matching (e.g., projects, people, firms)—so you and your work can be found and credited.

Generate embeddings and analytics: e.g., vector representations and aggregated insights used for search and so the industry shows up right.

Improve the platform: e.g., quality signals, spam detection, and product features.

2. What We Don't Guarantee

Annotations and enrichment may be imperfect. Automated labels, tags, or classifications are not guaranteed to be correct or complete.

Outputs are probabilistic. Recommendations, rankings, and matches are based on models and heuristics; they are not certified outcomes.

We do not promise correctness. We provide structure and utility, not verified truth. Use enrichment and recommendations as inputs to your own judgment, not as sole determinants of decisions.

No one should rely on Archade's AI output alone for high-stakes decisions (e.g., hiring, legal, or medical).

3. How This Relates to the Structured Data We Make Available