The rise of cloud-based AI has created a data sovereignty crisis. Organizations are sending their most sensitive content—financial reports, legal documents, customer data—to third-party AI systems with little visibility into how that data is stored, processed, or potentially used for training.
The Hidden Risks
When you use a general-purpose AI service, your data may be:
- Stored indefinitely: Even after your session ends
- Used for training: Improving models that competitors also use
- Processed in unknown locations: Potentially violating GDPR, CCPA, or industry regulations
Straker's Approach
We built our infrastructure with data sovereignty as a core principle:
- Private Model Training: Your Tiri model is trained exclusively on your data and used only by you
- Regional Processing: Choose where your data is processed—US, EU, APAC, or on-premise
- Zero Retention: Content is processed and immediately purged—never stored, never used for training
- SOC2 & ISO 27001: Enterprise-grade security certifications
Compliance by Design
For regulated industries—finance, healthcare, legal—data sovereignty isn't optional. Our infrastructure is designed to meet the strictest compliance requirements while still delivering the speed and scale benefits of AI.