AI & Matching Transparency

VenueHive uses or plans to use AI-supported functions not as a marketing decoration, but as product functionality.

This page explains:

• which data sources may feed into AI and matching processes,
• what types of outputs these processes may generate,
• what other users may be able to see and what they may not,
• how VenueHive distinguishes between raw data, protected private areas and derived signals,
• how human review and responsibility are positioned.

VenueHive does not treat every piece of information in the same way.

Examples of raw data include:

• direct profile submissions,
• connected social and calendar data,
• uploaded files,
• messages,
• raw ICS contents,
• media and reference sources.

VenueHive may distinguish between different evidence layers, for example:

• declared,
• detected,
• confirmed,
• publicly evidenced,
• platform-confirmed.

VenueHive may derive structured outputs from existing data, for example:

• categories,
• market and relevance signals,
• content and format hints,
• hospitality-fit indicators,
• public-proof indicators,
• delivery and availability indicators,
• matching suggestions,
• structured summaries,
• prioritised or ranked candidate lists.

Depending on the function, AI and matching systems may use in particular the following sources.

For example:

• name,
• screen name,
• location,
• roles,
• categories,
• specialisations,
• declared collaboration and deliverable information.

For example:

• connected social accounts,
• publicly visible profile information,
• media and content references,
• activity, format and performance signals,
• audience and reach indicators,
• text, visual or multimodal analysis outputs.

For example:

• website,
• LinkedIn,
• media kit,
• portfolio,
• references,
• public mentions,
• appearance links,
• public partner, brand or venue signals.

For example:

• offered deliverables,
• possible collaboration modes,
• management involvement,
• operational platform-readiness.

For example:

• manual availability inputs,
• connected calendar sources,
• imports,
• derived presence windows,
• market and time windows relevant for collaborations.

Important: VenueHive is designed to rely on presence windows and availability signals rather than raw private calendar details where matching is concerned.

For example:

• publicly accessible web references,
• reference pages,
• hospitality, venue or market signals,
• other publicly visible contexts.

Depending on the product function, VenueHive's AI and matching systems may in particular be used to:

• structure data,
• normalise inputs,
• identify categories and types,
• interpret markets, formats and hospitality contexts,
• make professional footprint and public proof more legible,
• generate relevance and fit signals,
• prepare search and matching suggestions,
• prioritise profiles or opportunities,
• produce short summaries and recommendations.

VenueHive does not claim that AI or matching outputs are automatically:

• always correct,
• complete,
• objective,
• final,
• or commercially successful.

Missing data does not automatically mean a negative assessment. Public signals and professional footprint are intended to complement a profile, not to artificially inflate or punish it.

Depending on product logic and release settings, other users may be able to see in particular:

• visible profile information,
• selected references,
• certain portfolio elements,
• limited derived profile hints,
• information that is relevant and intended for matching.

Other users should not automatically be able to see:

• private messages,
• raw calendar data,
• raw ICS contents,
• access tokens,
• protected sync-level data,
• other clearly private raw data areas.

VenueHive treats private messages, raw calendar data, ICS contents, tokens and comparable sensitive areas as protected private data areas.

For such areas, the following principles apply in particular:

• no free public visibility,
• restrictive technical access,
• no sale,
• no use for advertising trade or data brokerage,
• no treatment as a freely exploitable data source outside the VenueHive purpose.

Where external AI or technical service providers are used for VenueHive, this is — if at all — only within the scope of the relevant product function and not for the provider's independent unrestricted commercial reuse.

VenueHive may use scores, prioritisation outputs, fit signals or rankings to make information more legible and decision workflows more manageable.

Such outputs may in particular be based on:

• declared fit,
• social and content signals,
• professional footprint,
• public proof,
• deliverables,
• presence windows,
• public hospitality or market signals.

These outputs are meant to support decision-making. They are not equivalent to an absolute judgment about a person.

VenueHive treats AI and matching as support systems.

Unless explicitly stated otherwise, material decisions — for example on specific collaborations, content approvals, moderation measures or other meaningful consequences — should not be made blindly and exclusively on the basis of automated output.

If VenueHive later uses automated individual decisions with legal or similarly significant effects, affected persons will be informed and may, where the law provides for it, request review by a human being.

Within the scope of the available product functions, users may in particular influence outcomes by:

• editing profile data,
• adding or correcting information,
• connecting or disconnecting external accounts,
• uploading or deleting examples,
• adjusting availability information,
• using or not using optional features,
• contacting VenueHive with questions, corrections or review requests.

VenueHive will update this page if there are material changes to:

• AI functions in use,
• data sources,
• visibility logic,
• technical processing paths,
• or the rights of affected persons.