app.pantares.ai — 85/100 (Low privacy risk)

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Pantares GmbH · pantares.ai

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Low privacy risk

Pantares GmbH’s website privacy policy is transparent, GDPR-compliant, and minimizes data collection, but its KI-platform (app.pantares.ai) has a separate policy with unclear AI training and third-party transfer details.

Pantares GmbH’s website privacy policy is well-structured, clearly outlines data collection (e.g., IP addresses for form protection, minimal cookies), and restricts processing to necessary purposes. It uses EU-based hosting (Microsoft Azure) and requires explicit consent for analytics (Matomo) and reCAPTCHA. However, the separate policy for its KI-platform (app.pantares.ai) introduces ambiguity: it mentions third-party AI providers (including US-based ones) and data transfers under SCCs, but lacks explicit opt-outs for AI model training. The policy also notes that user data in the platform may be processed if third parties (e.g., a user’s employer) upload it, which could affect non-users.

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Category Assessment

Breakdown of the policy across key compliance areas. Good = strong, fair = mixed, poor = concerning.

Data MinimizationGood

Collects only necessary data (e.g., IP for form protection, minimal cookies) and avoids unnecessary tracking by default.

TransparencyGood

Policy is detailed, with clear sections on purposes, legal bases, and third-party processors, though the KI-platform’s separate policy is less accessible.

Third-party SharingFair

Shares data with a limited set of processors (Azure, Cloudflare, Matomo, Google) but the KI-platform’s use of third-party AI providers (including US-based) introduces uncertainty.

International TransfersFair

Mostly EU-based, but Cloudflare, Google, and KI-platform AI providers involve US transfers under SCCs/DPF, which are not risk-free.

AI/Model TrainingPoor

Explicitly states KI-platform data is *not* used for training models, but this only applies to direct user inputs—third-party data (e.g., uploaded by others) may still be processed without opt-outs.

User RightsGood

Clearly lists GDPR rights (access, deletion, portability, etc.) and provides contact details for the DPO, but non-users of the KI-platform must rely on the data controller (e.g., their employer) to exercise rights.

Key Findings

Notable clauses, issues, or positive practices discovered (critical first)

Critical

Separate KI-platform policy creates ambiguity for non-users

Section 7 states that non-users’ data (e.g., in emails or documents uploaded by others) may be processed in the KI-platform under Art. 6(1)(f) GDPR, with transfers to US-based AI providers. However, the policy does not clarify how non-users can object or opt out, or whether their data is used for model training. This is a critical gap for GDPR compliance (Art. 21 right to object).

Critical

AI training opt-out missing for KI-platform

Section 7 explicitly states that user data in the KI-platform is *not* used for training models, but this assurance does not extend to third-party data (e.g., uploaded by a user’s employer). The policy lacks a mechanism for non-users to prevent their data from being used in AI training, which is a significant compliance risk under GDPR (Art. 9, 22).

Warning

US transfers rely on SCCs and DPF, but risks remain

Sections 6.2 (Cloudflare), 6.4 (Google reCAPTCHA), and 7 (KI-platform AI providers) note that US transfers are covered by SCCs and/or the EU-US Data Privacy Framework. However, SCCs have been challenged in courts (e.g., Schrems II), and DPF’s adequacy is not yet legally settled. The policy does not address supplementary measures (e.g., encryption) for these transfers.

Warning

Retention periods for KI-platform data are unclear for non-users

Section 8 outlines retention periods for website data but is vague for the KI-platform. It states that user-uploaded content remains until deletion by the user, but does not specify how long third-party data (e.g., non-users’ data in uploaded documents) is retained or how non-users can request deletion.

Info

Consent granularity for analytics and reCAPTCHA is strong

Sections 6.3 and 6.4 describe a two-click consent mechanism for Matomo analytics and Google reCAPTCHA, ensuring no data is collected without explicit user action. This is a best practice for GDPR compliance (Art. 7, 49).

Consumer Takeaway

For the website (pantares.ai), your data is handled carefully with clear consent mechanisms and EU-based processing. For the KI-platform (app.pantares.ai), be cautious: your data might be shared with US-based AI providers, and there’s no explicit guarantee it won’t be used for model training unless you’re a direct user with control over your inputs.

Compliance Posture

Strong for the website: explicit legal bases (Art. 6 GDPR), consent for non-essential processing, and clear user rights. Mixed for the KI-platform: relies on legitimate interest (Art. 6(1)(f)) for processing third-party data, uses SCCs for US transfers, but lacks granularity on AI training opt-outs and data retention for non-users.

EU Transfers

Most processing for the website occurs in the EU (Azure, Matomo Cloud in Frankfurt/Dublin). Exceptions include Cloudflare (US parent, EU processing with SCCs + DPF certification) and Google reCAPTCHA (EU/US with SCCs + DPF). For the KI-platform, data may be transferred to US-based AI providers under SCCs, but the policy does not specify safeguards beyond this.

Detected Signals

Specific data points and practices identified in the text

Data Collected
IP addressTimestampRequested pageBrowser type and versionOperating systemNameEmail addressMessage content (contact form)User-Agent (browser identification)Consent timestamp and wording (newsletter)Pseudonymized usage data (Matomo, if consented)
Processing Purposes
Website delivery and securityHandling contact form submissionsNewsletter distributionFraud prevention (IP and User-Agent for forms)Analytics (Matomo, if consented)Bot protection (reCAPTCHA, if consented)Processing user-uploaded content in KI-platformProcessing third-party data in KI-platform (e.g., emails, documents)
Third-party Sharing
Microsoft Azure (EU) for hosting, database, and emailCloudflare for DNS and website delivery (EU/US)Matomo Cloud (InnoCraft) for analytics (EU)Google reCAPTCHA for form protection (EU/US)KI-platform AI providers (EU/US)
International Transfers
Cloudflare (US parent company, EU processing with SCCs + DPF)Google reCAPTCHA (US transfers with SCCs + DPF)KI-platform AI providers (US transfers with SCCs)
AI / Model Training
KI-platform user data is explicitly stated as *not* used for model trainingNo explicit statement on third-party data (e.g., uploaded by others) in KI-platform

Evidence Snippets

Direct quotes from the policy supporting these findings

Für unsere KI-gestützte Software-Plattform unter app.pantares.ai und für die Erweiterungen für Microsoft Office gilt eine eigene Datenschutzerklärung (Ziffer 3).

Die Daten werden nicht zum Training von KI-Modellen genutzt.

Zur Bearbeitung werden die Inhalte an KI-Anbieter übermittelt, teils mit Sitz in der EU, teils in den USA. Übermittlungen in die USA erfolgen auf Grundlage der EU-Standardvertragsklauseln (Art. 46 DSGVO).

Cloudflare ist zusätzlich nach dem EU-U.S. Data Privacy Framework zertifiziert.

Reichweitenmessung — Matomo Cloud (InnoCraft) [...] Verarbeitungsort: EU — die von uns genutzte Matomo-Cloud-Instanz wird in Frankfurt am Main betrieben, Sicherungskopien in Dublin.

Ihre Rechte: Es gelten die Rechte nach Ziffer 9 einschließlich des Widerspruchsrechts nach Art. 21 DSGVO.

Missing or Unclear

  • No opt-out mechanism for non-users whose data is processed in the KI-platform
  • No clarity on whether third-party data in KI-platform is used for AI model training
  • No supplementary measures (e.g., encryption, pseudonymization) described for US transfers
  • No retention period specified for third-party data in KI-platform
  • No direct contact method for non-users to exercise GDPR rights for KI-platform data

Questions to Ask

  • How can non-users (e.g., individuals whose data is uploaded by a KI-platform user) object to or opt out of their data being processed in the platform?
  • Is third-party data (e.g., in uploaded documents or emails) ever used for AI model training in the KI-platform, and if so, how can this be disabled?
  • What supplementary measures (e.g., encryption, access controls) are in place for data transferred to US-based AI providers under SCCs?
  • What is the retention period for third-party data processed in the KI-platform, and how can non-users request deletion?
  • Why is the KI-platform’s privacy policy not publicly accessible without an account, and can it be provided proactively to all affected individuals?
This analysis is generated by AI and is not legal advice. Always consult a qualified legal professional for compliance decisions.

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