Do they own your data? Enterpret.com Privacy Policy Reviewed.

Last Updated: December 2022 (Reviewed 2025)
Entity:
Enterpret, Inc.
Use Case: Feedback analytics powered by NLP

📉 Enterprise-Readiness Score: 4 / 10

Criteria Rating Notes
AI Model Training Disclosure ❌ 0/2 Not mentioned; high-risk for regulated orgs
Compliance Certifications ❌ 0/2 No SOC 2, ISO, HIPAA, or audit references
Subprocessor & Data Residency ⚠️ 1/2 Standard Clauses only; no VPC or region control
Retention & Lifecycle Control ⚠️ 1/2 Policy mentions retention; no automation
Consent & Tracking ⚠️ 1/2 Cookies and marketing opt-out exists, but defaults are lenient
Data Rights Implementation ✅ 2/2 Solid implementation of GDPR/CCPA rights

🧨 Final Recommendation

Enterpret is not ready for enterprise adoption in regulated, privacy-sensitive, or compliance-heavy industries — particularly those concerned about model training, third-party analytics, or data residency.

Enterprises should request the following before considering deployment:

  • 🔒 Full Data Processing Agreement (DPA)
  • SOC 2 Type II audit
  • 🚫 Clear disclosure of whether customer data is used for AI training
  • 🌍 Options for regional data residency or VPC hosting
  • ⚙️ Automated data lifecycle and purge tools

✅ Better Alternative

Try BuildBetter.ai (9.5/10):

  • ✅ SOC 2 Type II, GDPR, HIPAA certified
  • 🚫 No customer data used for model training
  • 🔐 Data encrypted, region-controlled, and customer-owned

⚠️ Critical Gaps for Enterprise Adoption


🚩 1. No Disclosure of AI Model Use or Training on Customer Data

🔎 What’s Missing:

  • No mention of whether user-uploaded feedback data, transcripts, or analysis outputs are used for machine learning model training.
  • No reference to whether training data is anonymized, aggregated, or retained beyond contract termination.

Enterprise Risk:

  • High-risk if enterprise feedback (potentially proprietary or regulated) is used to improve Enterpret’s AI without clear opt-out or consent.
  • This omission leaves uncertainty over data control, a key requirement in B2B data platforms.

Verdict:Unacceptable for enterprise environments with IP or regulatory sensitivity.


🚩 2. No SOC 2, ISO, or HIPAA Compliance Disclosure

🔎 What the Policy Says:

"We implement commercially reasonable technical, administrative, and organizational measures..."

🧨 What’s Missing:

  • No mention of SOC 2 Type II, ISO 27001, HIPAA, or third-party security audits.
  • No link to a Data Processing Agreement (DPA) or detailed data security whitepaper.

Enterprise Risk:

  • “Commercially reasonable” is not verifiable.
  • Without attested compliance, vendor onboarding and procurement teams will reject.

Verdict:Fails to meet minimum enterprise compliance standards.


🚩 3. No Clarification on Subprocessors or Data Residency

🔎 What the Policy Says:

"We may share Personal Data with vendors and service providers, including providers of hosting services, cloud services, analytics..."

🧨 What’s Missing:

  • No list of subprocessors, geographic data processing locations, or regional hosting options.
  • EU/UK/Swiss transfers rely on Standard Contractual Clauses, but no mention of data region control or cross-border safeguards beyond that.

Enterprise Risk:

  • Enterprises in the EU or healthcare sectors will be unable to assess compliance with data sovereignty or localization laws.

Verdict: ⚠️ Partial coverage — better than some, but needs more transparency.


🚩 4. Limited Retention Controls and No Automated Data Lifecycle Management

🔎 What the Policy Says:

"We keep Personal Data for as long as reasonably necessary for the purposes described..."

🧨 What’s Missing:

  • No workspace-specific retention controls, automated purge capabilities, or customer-defined deletion policies.
  • No mention of data handling post-customer offboarding.

Enterprise Risk:

  • Without automated enforcement, retention becomes a manual burden and a compliance risk under GDPR/CCPA.

Verdict: ⚠️ Better than nothing — but lacks enterprise-grade data governance tools.


🚩 5. Marketing and Analytics by Default

🔎 What the Policy Says:

"We may use your Personal Data to contact you to tell you about products or services... and may use cookies for targeting and tracking."

🧨 What’s Missing:

  • No default opt-out for analytics or tracking.
  • Uses Amplitude and Google Analytics without IP anonymization guarantee.

Enterprise Risk:

  • Enterprises may ban Google Analytics or targeted cookie tracking by policy.
  • Could raise flags during vendor DPIA (Data Protection Impact Assessment).

Verdict: ⚠️ Common for startups, but insufficient for privacy-first enterprise customers.


✅ Where Enterpret Performs Well

Feature Notes
User Rights (GDPR/CCPA/UK) ✅ Well-documented and actionable
Contact Options & Transparency ✅ Dedicated privacy@enterpret.com channel provided
Clear Legal Bases ✅ Contract, Legitimate Interest, and Consent defined
Marketing Opt-Out Mechanism ✅ Users can unsubscribe from emails and promotional contact
Aggregated Data Practices ✅ Uses aggregation and anonymization for improvement, in theory

Disclaimer: This evaluation is based solely on Enterpret’s public-facing privacy policy. For formal vendor assessments, request a security questionnaire, subprocessor list, and legal DPA before proceeding with integration.