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.