Start the new year with #AI that is private by design, not just in name.
True data sovereignty requires a strategy that goes beyond where data lives; it’s about who has the keys to the kingdom.
✅ Residency: Data stays in-region and under your laws
✅ Privacy: Zero training on your proprietary IP
✅ Control: You manage the logs, the environment, and the access
✅ Audit: Full visibility for #GDPR and compliance
👓 Full guide: https://amazee.ai/blog/ai-data-sovereignty-unlocked
✅ Start the new year right: With private #AI that actually IS private, not just in name.
Our #PrivateAI Assistant provides a secure, ISO 27001-certified environment to interact with your most sensitive data.
Your prompts and documents stay within your control and are never used to train foundational models.
From contract analysis to multi-file synthesis, it’s the enterprise-grade way of AI adoption in 2026.
👓 Explore the Assistant
https://amazee.ai/private-ai-assistant
Building #AI is an investment, but in the end, who owns the result? 🫵
🛑 When you rely on public providers, your internal knowledge becomes part of their ecosystem.
Discover why the smartest organizations are staying in control with #PrivateAI.
We look at how a sovereign environment protects your proprietary workflows and ensures that your AI evolution remains your own.
Don't build your future on someone else's cloud. Keep your data, and your edge, in-house.
🔎 https://amazee.ai/blog/private-ai-why-smart-companies-stay-in-control-of-their-data
SLM (Small Language Model) cung cấp AI riêng tư, offline, chi phí cố định và tuân thủ quy định cho ngành tài chính, y tế, an ninh và SaaS. So với LLM đám mây, SLM giảm rủi ro dữ liệu, latency <100 ms, chi phí 5‑10× thấp hơn và dễ audit. #AI #SLM #PrivateAI #Enterprise #BảoMật #AIDoanhNghiệp #KiểmToán
Is your #AI strategy built on someone else’s terms? 🛑
True #DataSovereignty means having the "🗝️s to the kingdom" 👉 knowing exactly where your data is + ensuring it never leaves your control.
Our latest article dives into why enterprises are moving away from restrictive public models toward #PrivateAI solutions.
We explain how localized, sovereign infrastructure eliminates vendor lock-in & protects your proprietary edge.
🔓 Unshackle your data: https://amazee.ai/blog/ai-data-sovereignty-unlocked
The #DrupalAISummit in Paris was a massive success! 🥳 170+ registrations and a packed room proved that the appetite for open source AI is huge.
The sessions made clear that #Drupal acts as the perfect "central nervous system" for #PrivateAI, keeping data secure while delivering cutting-edge results.
From AI agents to semantic search, the future of #AI is open and sovereign. 💪
🪝 Catch the highlights: https://amazee.ai/blog/drupal-ai-summit-paris-2025
Conventional protections such as encryption at rest or in transit fail to address the core exposure: data must be decrypted while training models.
Read more 👉 https://lttr.ai/AmTY8
The #DrupalAISummit in Paris was a massive success! 🥳 170+ registrations and a packed room proved that the appetite for open source AI is huge.
The sessions made clear that #Drupal acts as the perfect "central nervous system" for #PrivateAI, keeping data secure while delivering cutting-edge results. From AI agents to semantic search, the future of AI is open and sovereign. 💪
🪝 Catch the highlights: https://amazee.ai/blog/drupal-ai-summit-paris-2025
Are you tired of "Safe AI" tools that don't know anything about your business? 😖
The real ROI of #AI comes when you can securely query your own proprietary data, PDFs, and internal docs.
📻 Tune into our on-demand webinar, "Why Enterprises Are Turning to #PrivateAI Solutions," to see a live demo of our AI assistant built for #DataSovereignty.
Get the architectural fix that lets your team work faster without sending prompts to a public tool. 👍
👓 https://amazee.ai/webinar/why-enterprises-turn-to-private-ai-solutions
👉 AI must deliver clear operational ROI.
Our new case study with DB Schenker shows exactly how.
We targeted three pain points: manual email overload, hard-coded exceptions, and static reporting, and replaced them with a secure, #PrivateAI engine.
This three-phase rollout proved that compliant automation is possible. ✅
If your team needs proof that AI can work securely and efficiently in a regulated enterprise environment, this is a must-read.
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