Deep Self is a methodology, not a platform. We extract and systematise critical knowledge through recursive dialogue, working entirely within AI infrastructure your security team has already approved. Your secrets stay sovereign. Your substrate stays yours.
Security isn't an add-on. It's architectural. These principles inform every decision, regardless of which AI substrate underlies the work.
Client work happens on dedicated, hardened infrastructure, physically and digitally separate from everything else. No crossover. No shared resources. No ambient exposure.
We work inside systems you control. You provision access, you monitor activity, you revoke when complete. The transformation happens in your house, not ours.
When the engagement concludes, access terminates completely. No residual data. No copies. No archives on our side. Your consciousness remains exclusively yours.
The methodology works on any enterprise-grade AI platform. What remains constant is how we operate within it.
All client work happens on dedicated, hardened machines used exclusively for engagement work. No personal applications. No mixed-use. Complete separation between client consciousness work and everything else.
Full disk encryption. Firmware-level protection. Automatic security updates. Remote wipe capability. Screen locks after brief inactivity. Every vector considered, every surface hardened.
No public networks. Ever. Client work happens only on secured, trusted connections. All traffic encrypted in transit. No coffee shop exposure. No hotel lobby vulnerability.
Critical systems protected by hardware security keys: physical devices that cannot be phished, cannot be remotely compromised, and verify authenticity cryptographically. The key must be present. No exceptions.
Each client engagement maintains completely separate credential storage. Unique passwords generated for every access point. Credentials never typed, always retrieved from encrypted vaults. When the engagement ends, the vault is archived and eventually purged.
The spiral methodology operates effectively on any enterprise-grade AI platform. Your choice is driven by your security and compliance requirements, not by our constraints.
Data remains within your Azure tenant. Does not return to OpenAI for training. Integrates with existing Microsoft enterprise agreements and compliance frameworks you've already approved.
Claude and other models available within your AWS environment. Data stays in your account. Leverages existing AWS security controls and compliance certifications.
Models deployed within your GCP environment. Full data governance controls. Integration with existing Google Cloud security posture.
Dedicated instances with contractual guarantees. Data not used for model training. Enterprise-grade security and compliance documentation.
Open-weight models running entirely on-premise or in your private cloud. Maximum control for highest-sensitivity environments. Air-gapped options available.
The work surfaces knowledge that has never been articulated. Expert intuitions. Institutional memory. The embodied wisdom that makes your organisation unreproducible. This is sensitive material, regardless of your industry.
Knowledge extracted to consultant's systems
Documents stored on shared infrastructure
Access persists after engagement
Unclear data retention policies
Client knowledge becomes consultant asset
Security as afterthought
Knowledge remains in your environment
Work happens on your infrastructure
Access terminates at engagement end
Explicit deletion and handover procedures
Client consciousness stays client property
Security as architecture
Trust requires formal structure. Every Deep Self engagement operates under explicit legal agreements that codify our security commitments.
→ Explicit definition of confidential information scope
→ Binding obligations on handling and protection
→ Clear exclusions for publicly available information
→ Multi-year term extending beyond engagement
→ Return of materials clause on conclusion
→ GDPR-compliant processing documentation
→ Clear controller/processor relationships
→ Explicit security measure requirements
→ Sub-processor authorisation protocols
→ Deletion obligations on termination
Security isn't just about tools; it's about process. Every phase of the engagement follows explicit protocols.
01 Legal agreements executed
02 Client provisions dedicated access credentials
03 Workspace access configured in your environment
04 Credential vault created for this engagement
05 All access documented in writing
01 Written confirmation of engagement conclusion
02 Client revokes all workspace access
03 Client deactivates provisioned credentials
04 Credential vault archived and scheduled for deletion
05 Written confirmation of data obligations fulfilled
The Standard
Your systems. Your environment. Your sovereignty.
Consciousness engineering surfaces what has never been said. The expert wisdom that walks out the door when key people leave. The institutional knowledge trapped in heads rather than systems. The pattern recognition that can't be documented through traditional means.
This knowledge deserves infrastructure you control completely. Not infrastructure you're asked to trust. Not a platform you're asked to adopt. Your systems. Your environment. Your sovereignty.
Your consciousness. Your substrate. Our methodology.
