PREVSIS - Data Processing Agreement
Global SaaS Platform — Occupational Safety, Health & Sustainability
Version 1.0, Effective Date: 26 Feb 2026 | Last Updated: 26 Ene 2026
IMPORTANT: This Data Processing Agreement («DPA») forms part of the agreement between Prevsis and the Customer, and governs all processing of personal data by Prevsis on behalf of the Customer in connection with the Prevsis Platform and Services. It should be read alongside the Prevsis Privacy Policy and Terms of Use.
1. Definitions
In this DPA, the following terms have the meanings set out below. Other capitalized terms not defined here have the meanings given in the Terms of Use or applicable law.
- «Controller»: The Customer — the entity that determines the purposes and means of processing personal data.
- «Processor»: Prevsis — processing personal data on behalf of the Controller.
- «Sub-Processor»: Any third party engaged by Prevsis to process personal data in connection with providing the Services.
- «Personal Data»: Any information relating to an identified or identifiable natural person, as defined under applicable data protection law.
- «Processing»: Any operation performed on personal data, including collection, storage, use, disclosure, or deletion.
- «Anonymized Data»: Data that has been irreversibly stripped of all information capable of identifying a natural person or organization, such that re-identification is not reasonably possible.
- «Applicable Data Protection Law»: The laws applicable to the processing of personal data under this DPA, which may include GDPR, UK GDPR, CCPA/CPRA, LGPD, PIPEDA, and other applicable national laws.
- «Standard Contractual Clauses (SCCs)»: The clauses adopted by the European Commission for the transfer of personal data to third countries.
2. Scope and Data Processing Roles
Where Prevsis processes personal data to improve its own AI models, develop predictive safety features, or for its own product analytics using Anonymized Data (as set out in Section 6), Prevsis may act as an independent Controller of that Anonymized Data, in accordance with its Privacy Policy.
3. Details of Processing
3.1 Subject Matter
Processing of personal data in connection with provision of Prevsis’s AI-powered occupational safety, health, and Sustainability platform and related services.
3.2 Duration
For the term of the subscription or commercial agreement, plus any additional retention period required by applicable law or this DPA.
3.3 Nature of Processing
Storage, retrieval, analysis, structuring, use, and transmission of personal data to provide the Services, including AI-driven risk prediction and recommendations.
3.4 Types of Personal Data
- Professional identity data: names, job titles, employer, work contact details.
- Platform usage and authentication data.
- Occupational safety records: risk assessments, near-miss and incident reports, inspection findings, corrective actions, safety observations.
- Worker data entered by Customer: names, roles, work locations, training records — as applicable.
- Technical and log data generated by user interaction with the Platform.
3.5 Categories of Data Subjects
- Customer’s employees, contractors, and site workers whose data is entered into the Platform.
- Customer’s authorized platform users (administrators, safety officers, managers).
- Any other individuals whose data the Customer inputs into the Platform.
4. Prevsis Obligations as Processor
- Process personal data only in accordance with the Customer’s documented instructions and this DPA.
- Ensure that all personnel authorized to process personal data are bound by appropriate confidentiality obligations.
- Implement and maintain the technical and organizational security measures described in Section 8.
- Assist the Customer, by appropriate technical and organizational measures, in fulfilling the Customer’s obligation to respond to requests by data subjects exercising their rights under applicable law.
- Assist the Customer in ensuring compliance with security, breach notification, data protection impact assessment, and prior consultation obligations.
- At the Customer’s election, delete or return all personal data to the Customer upon termination of the Services, and delete existing copies unless applicable law requires otherwise.
- Make available to the Customer all information reasonably necessary to demonstrate compliance with this DPA, and allow for and contribute to audits conducted by the Customer or an auditor mandated by the Customer (subject to reasonable notice, confidentiality obligations, and cost allocation).
5. Customer Obligations as Controller
- It has a valid legal basis for processing personal data under applicable law before entering that data into the Prevsis Platform.
- It has provided all required notices to, and obtained all required consents from, data subjects whose data it enters into the Platform.
- Its instructions to Prevsis comply with applicable data protection law.
- It is responsible for the accuracy, quality, and legality of personal data submitted to the Platform.
- It will not use the Platform to process special category data (e.g., health data, biometric data) beyond what is expressly permitted under applicable law and this DPA, without prior written agreement with Prevsis.
6. AI, Predictive Analytics & Use of Anonymized Data
This section is central to Prevsis’s purpose as a platform: to predict and prevent workplace accidents and protect workers. It describes how data is used to improve the AI engine that powers this mission.
6.1 Tenant-Isolated AI Processing (Always Active)
6.2 Anonymization
Anonymized Data is no longer «personal data» under GDPR Article 4(1) or equivalent definitions in applicable law, and the restrictions of this DPA do not apply to Anonymized Data once it has been irreversibly anonymized.
Where the Customer has opted in (or has not exercised the Tenant-Only Mode election described in Section 6.4), Anonymized Data derived from Customer Data may be contributed to Prevsis’s global predictive safety model. This model is used to improve the accuracy of risk predictions across all platform users — ultimately improving safety outcomes for workers everywhere. Prevsis acts as independent Controller of Anonymized Data used for this purpose.
- No Anonymized Data derived from the Customer’s environment contributes to the global predictive model;
- The AI engine continues to operate, and predictions are based exclusively on the Customer’s own historical data and pre-trained model weights;
- The Customer may observe different predictive performance over time, particularly for rare event types, compared to Customers participating in the global model.
Prevsis does not sell, rent, or otherwise commercialize Customer Data or Anonymized Data to third parties. Anonymized Data is used solely for the purpose of improving Prevsis’s own Services.
7. Sub-Processors
- Amazon Web Services, Inc. (AWS); cloud infrastructure, data storage, compute.
- AWS Cognito; authentication and identity management.
- CRM and customer communications (contact data).
- Others as maintained in the live Sub-Processor Register; available at prevsis.com/legal or on request.
Prevsis will provide at least 30 days’ notice before engaging a new sub-processor that will process Customer personal data. The Customer may object to a new sub-processor on reasonable data protection grounds within 14 days of notice. If the parties cannot resolve the objection, the Customer may terminate the relevant Services on written notice, without penalty.
8. Technical and Organizational Security Measures
Prevsis shall implement and maintain at minimum the following security measures:
- Role-based access control (RBAC) with least-privilege principles.
- Multi-factor authentication for administrative access.
- Logical tenant isolation ensuring no cross-customer data access.
- Encryption of personal data in transit using TLS 1.2 or higher.
- Encryption of personal data at rest using AES-256 or equivalent.
- Redundant infrastructure and backup systems.
- Disaster recovery and business continuity procedures.
- Target SLA and uptime commitments as set out in the Proposal or Order Form.
- Continuous security monitoring and anomaly detection;
- Regular vulnerability assessments and penetration testing;
- Annual security audits.
9. Personal Data Breach Notification
- A description of the nature of the breach, including, where possible, the categories and approximate number of data subjects and records concerned.
- The name and contact details of the data protection point of contact.
- A description of the likely consequences of the breach.
- A description of measures taken or proposed to address the breach.
Prevsis shall cooperate with the Customer and take reasonable steps to mitigate the effects of the breach. The Customer retains responsibility for any notifications required to supervisory authorities or data subjects under applicable law.
10. International Data Transfers
- Relying on Standard Contractual Clauses (SCCs) — Module 2 (Controller to Processor) — where applicable.
- Relying on adequacy decisions where available.
- Implementing any additional supplementary measures required following a Transfer Impact Assessment.
11. Data Subject Rights Assistance
12. Data Protection Impact Assessments
13. Audit Rights
14. Termination and Data Deletion
- Prevsis shall, at the Customer’s election, return or delete all Customer personal data within 60 days or if customer would need, at a convened time.
- Prevsis may retain Anonymized Data that has already been incorporated into model training datasets, as such data cannot be linked back to the Customer.
- Prevsis shall certify deletion upon the Customer’s written request.
- Prevsis may retain personal data where required by applicable law, notifying the Customer of the legal basis and duration of any such retention.
15. Liability
16. Governing Law
Annex I — Processing Details (for SCC purposes)
Data Importer: Prevsis
Categories of data subjects, types of personal data, special categories, frequency, nature, purposes, retention — as set out in Section 3 of this DPA.
Annex II — Technical and Organizational Security Policy and Measures
As described in Section 8 of this DPA, and as may be updated in Prevsis’s current Security Overview document (available on request).



