1. Information Collection and Linguistic Mapping
As part of our mission to bridge generative AI use with professional cognitive engineering, we collect data necessary to facilitate high-level research and training. This includes technical tokens provided during framework consultation and basic identifier information collected during workshop intake.
Specifically, we collect:
- System Metadata: Information regarding the LLM environments you utilize to ensure our architecture is compatible with your specific latent space requirements.
- Professional Identity: Name, professional email address, and organizational affiliation for the purpose of granting access to Tevepuu research archives.
2. Data Processing and Context Engineering
Data processing at Tevepuu focuses on context window optimization. We do not engage in the mass sale of user data. Our internal processing is governed by rigorous ethical and verifiable output standards.
Reasoning Frameworks
"We prioritize cognitive reasoning chains over simple instruction blocks. Your data is used exclusively to calibrate the semantic grounding of the frameworks we develop for your professional domain."
3. Obsidian-Grade Security Infrastructure
Our security infrastructure matches the technical discipline of our research. All information is encrypted using industry-standard protocols and stored in secure environments protected by multi-layered authentication.
We operate as a high-level research collective, meaning your proprietary prompt templates and target output samples are never exposed to public transformer attention research without explicit, written consent.
4. Access and Intellectual Rights
Users retain the right to request a full synthesis of the data held by Tevepuu. You may request the deletion of your professional record or workshop intake forms at any time by contacting our research lead.
For users within the European Economic Area (EEA), we comply with GDPR standards regarding data portability and the right to be forgotten.
