Privacy
Protocol
01. Data Collection & Extraction
TrainExec operates on a principle of absolute data minimality. We recognize that in the field of deep learning, data sets are the intellectual bedrock of your organization.
We collect personal information only when explicitly provided through our consultation request forms, technical paper access requests, or direct correspondence. This includes your professional identity, corporate affiliation, and technical requirements related to neural network optimization. Our servers automatically log technical metadata (IP addresses, browser configurations, and access timestamps) to maintain the security and operational integrity of our portal.
02. Processing & Neural Safeguards
Personal data is processed exclusively for the purpose of fulfilling consulting engagements and providing educational resources. For clients engaging in Architectural Model audits, we enforce strict data boundary protocols.
- /01 Client-provided model weights and training sets remain on isolated vPC environments.
- /02 We do NOT utilize client data to train or fine-tune common baseline models.
- /03 Anonymization is applied to all telemetry during Layer-Wise Relevance Analysis.
Legal Entities
TrainExec Operations Canada
401 9th Ave SWCalgary, AB T2P 3C5
Canada
Canadian Privacy Compliance
We adhere strictly to PIPEDA (Personal Information Protection and Electronic Documents Act) standards for all Canadian operations, ensuring your right to access, challenge, and correct data.
User Autonomy
- Right to Erasure (De-indexing)
- Data Portability Requests
- Processing Opposition
Structural Integrity Statement
Explainability shouldn't come at the cost of privacy.
Information Flow Audit
v1.2 // 2026.06.01Have specific questions about your architectural data?
Connect with our data protection officer for a direct consultation.