Why TAi — Sovereign AI for the Next Generation 

Pyrinas.co | Founders: Prof. Timothy Bates (CTO) &  

Artificial Intelligence is being centralized, monetized, and rented back to users by large cloud providers. The pitch: bigger models, infinite scalability, and “secure” infrastructure. The reality: lock-in, hidden costs, energy inefficiency, and the loss of user control.

TAi by Pyrinas.co changes this equation. TAi brings AI back to the user — on-box, private, sovereign, and cost-effective. This whitepaper outlines why sovereign AI is the next evolution, how TAi works, and what’s required to scale Pyrinas.co into a leader in the AI sovereignty movement.

Cloud AI providers promote three main narratives:

1. More Advanced: Bigger models mean better results.
    
2. More Informed: They’re always connected to global knowledge.
    
3. More Secure: Providers handle compliance and risk.
    

These claims are misleading:

• Parameters ≠ Practical Power. A 400B parameter model doesn’t guarantee relevance.
   
• Connectivity ≠ Reliability. Without context, cloud responses hallucinate and fail.
   
• Shared Security ≠ Sovereignty. Data in multi-tenant environments is always at risk.

 TAi is designed around three principles:

• Simple: Familiar user experience, no technical barrier.
   
• Sovereign: Data, preferences, and AI personality remain private and local.
   
• Yours: Ownership, not rental. Users control how and when TAi connects externally.
   

1. Bring It Home (Ingest): Import configs, files, and preferences into TAi (air-gapped).
    
2. Make It Yours (Build): TAi builds a digital twin of your cloud AI in your environment.
    
3. Run With It (Act): Deploy a private AI with security policies, detections, and ownership intact. 

• RAG (Retrieval-Augmented Generation): Connects TAi to local datasets, ensuring grounded answers.
   
• API & Internet Connectors: Optional. User decides when TAi looks outward.
   
• Hybrid Comparison: TAi can run side-by-side with cloud AIs for verification, without ceding control.
   
• Hardware Efficiency: TAi thrives on optimized 7B–13B models, outperforming massive cloud models on cost and speed.

Metric                         TAi(On-Box)                    Cloud AI

Energy (kWh)                  ~876                              ~12,000

Carbon (tCO₂)                 ~0.4                               ~5.4

Cost (USD)                      ~$140                            ~$2,400 

Illustrative SMB workload values. Actual performance varies.

• Cloud → Private Transition: AI should not be rented.
   
• Your Data, Your Rules: 100% sovereignty.
   
• Familiar but Safer: Same tools, without hidden risks.
   
• Greener by Design: TAi is efficient, sustainable, and future-proof.

Pyrinas.co is recruiting founding team members who will join as owners, not employees. Critical roles include:

• COO, CFO, CMO, Head of Product
   
• VP of Engineering + Core AI/ML Engineers
   
• DevOps & Hardware Engineers
   
• Deputy CISO & Compliance Officers
   
• Business Development & Customer Success Leads
   

These roles will be compensated in equity, with vesting, ensuring alignment and shared upside.

Cloud AI is a rental economy. Sovereign AI is the ownership economy.
TAi by Pyrinas.co is building the infrastructure for this transition — simple, sovereign, yours.

We’re seeking partners, investors, and founding team members who believe in Detroit grit, technical excellence, and the principle that AI should be owned, not leased.

📩 Contact: [info@pyrinas.co]