Your Data. Your AI.
Your Infrastructure.
Deploy secure, private AI tailored to your organization. All processing happens within your own walls — you retain 100% control over your data.
Why the cloud is not enough.
When sensitive data is processed on third-party infrastructure, risks emerge that are unacceptable for security-conscious organizations.
Security & Privacy
- Loss of physical and network-level data control
- Sensitive data exposed in plaintext at the vendor
- Risk of data breaches and cyberattacks
- Foreign jurisdiction exposure (e.g., US CLOUD Act)
Costs
- Unpredictable egress fees and API charges
- Scaling costs exceed on-premise at volume
- Expensive data migration between vendors
Control & Dependency
- Vendor lock-in through proprietary APIs
- Limited customization and flexibility
- "Black box" models with no transparency
Performance
- Network latency for cloud processing
- Total outage on internet disruption
- Complex integration with legacy systems
"But they comply with GDPR."
Cloud providers invest heavily in compliance certifications. But compliance is not the same as control. Here is what the fine print actually means.
Reality: Microsoft is a US corporation headquartered in Redmond, Washington. Under the US CLOUD Act, Microsoft can be compelled by US authorities to produce data regardless of which datacenter stores it. Microsoft's own documentation confirms it complies with lawful US government requests. GDPR compliance means Microsoft follows certain data processing rules — it does not mean your data is immune from US jurisdiction. Furthermore, Azure AI services route inference through Microsoft-managed endpoints where your data is decrypted and processed in plaintext by Microsoft's infrastructure team.
Source: Microsoft Privacy Statement §10 "Law Enforcement Requests"; US CLOUD Act (18 U.S.C. §§ 2713, 2523)
Reality: Amazon is a US corporation. The same CLOUD Act obligations apply. Additionally, AWS operates under the EU-US Data Privacy Framework — a mechanism the European Court of Justice previously invalidated in Schrems II (Case C-311/18) because US surveillance laws (Section 702 FISA, EO 12333) give US intelligence agencies access to data held by US companies. While AWS offers encryption options, the decryption keys and plaintext processing still occur on Amazon-controlled hardware with Amazon personnel access.
Source: CJEU Case C-311/18 (Schrems II); AWS Artifact compliance reports
Reality: Google's "Data Regions" commitment covers storage location — not processing. When you invoke Google's AI/ML services, data is routed through Google's global infrastructure for model inference. Google's Terms of Service grant Google a broad license to use customer content to improve its services. Even with "restricted data processing" options, Google retains the ability to access data for security investigations and legal compliance under US law.
Source: Google Cloud Terms of Service §3; Google Cloud Data Regions documentation
Reality: Encryption in transit (TLS) and at rest (AES-256) are baseline features — but they only protect data while it moves or sits idle. To process AI, data must be decrypted. At the moment of inference, your data exists in plaintext on the cloud provider's servers. This is the critical vulnerability: encryption guarantees nothing about what happens during the milliseconds when your data is being analyzed by an AI model. With AutoVersio, that decryption happens on hardware inside your facility.
Reality: Many "European" cloud providers rely on US technology stacks underneath. OVHcloud (France) uses Intel/AMD chips and NVIDIA GPUs with embedded firmware. Oracle Cloud (Ireland) is a US corporation. Even fully European providers often depend on US-developed AI frameworks (PyTorch, TensorFlow) and pre-trained models hosted on US infrastructure. Supply-chain dependencies create indirect exposure vectors that compliance certificates do not address.
This is where AutoVersio differs fundamentally. Under the Swedish Trade Secrets Act (2018:558), implementing EU Directive 2016/943, companies must demonstrate they have taken "reasonable measures" to keep information secret. Sending decrypted, sensitive corporate data to a US-owned cloud provider — where it is processed in plaintext by personnel subject to US subpoena power — may not satisfy this legal threshold. AutoVersio's on-premise architecture ensures your data never leaves your physical control zone, providing the strongest possible defense for trade secret protection.
Source: Swedish Trade Secrets Act (2018:558); EU Directive 2016/943 Article 2
AutoVersio vs. Cloud AI.
A direct comparison of what matters when handling sensitive organizational data.
| Criterion | Cloud AI Providers | AutoVersio |
|---|---|---|
| Data Location | Third-party servers | Your infrastructure |
| Data Sovereignty | ✕ Shared with vendor | ✓ 100% yours |
| Plaintext Exposure | ✕ At vendor's datacenter | ✓ Inside your facility |
| Model Transparency | ✕ Black box | ✓ Full visibility |
| CUSTOMIZATION | Limited | Unlimited |
| Offline Operation | ✕ Requires internet | ✓ Fully offline |
| Latency | Network-dependent | Local — near zero |
| Long-term Cost | Scales with usage | Fixed infrastructure |
| Vendor Lock-in | ✕ High risk | ✓ None |
| Foreign Law Exposure | ✕ CLOUD Act, FISA 702 | ✓ Swedish/EU law only |
| Trade Secret Protection | Indirect exposure | Physical isolation |
| Compliance (GDPR, etc.) | Shared responsibility | Fully controlled |
| Continuous Learning | ✕ Vendor-controlled | ✓ Self-evolving |
The Full Picture
Six dimensions from the table above, at a glance.
The Latency Duel
One inference call, round trip.
A private AI ecosystem.
Entirely yours.
AutoVersio deploys a purpose-built AI architecture that operates as a private intelligence layer within your organization — resolving the fundamental conflict between adaptability, security, and control.
Instead of relying on the cloud, we engineer an intelligent AI ecosystem that learns and evolves continuously, fully isolated from the outside world.
Security. Control. Adaptation.
Total Data Security
Your data never leaves your infrastructure. You retain 100% ownership and control.
Validated Safety
Every AI component is tested in a secure Digital Twin before activation.
Dynamic Adaptation
The system generates new AI agents locally to continuously optimize your processes.
Full Control
You define rules, guidelines, and objectives. AI acts as your intelligent colleague.
Check your current AI risk.
Select the AI services your organization currently uses. We will show you the specific risks and what switching to AutoVersio means for you.
What AI services are you using today?
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Eliminate these risks with AI that runs entirely on your infrastructure.
Talk to Our Team ›Three steps to
your AI ecosystem.
Analysis & Strategy
In-depth assessment of your requirements, data flows, and security posture.
Implementation
Deployment and seamless integration with your existing technical environment.
Evolution & Support
Continuous optimization and ongoing support to maximize long-term value.
Built for demanding environments.
GDPR Compliant
All data processed locally.
On-Premise
Entire infrastructure within your walls.
Zero-Trust Architecture
Every access validated continuously.
Swedish Engineering
Built to European standards.
Common questions answered.
What is "Shadow AI" and why is it a risk?
"Shadow AI" refers to unauthorized use of public AI services by employees — pasting sensitive company data into ChatGPT, Gemini, or similar tools without IT approval. This creates uncontrolled data leakage, bypasses all security policies, and exposes trade secrets to third parties with zero oversight. On-premise AI eliminates this risk by providing approved, secure AI tools that keep all data within your infrastructure.
How does AutoVersio protect trade secrets under Swedish law?
Under the Swedish Trade Secrets Act (2018:558), implementing EU Directive 2016/943, companies must take "reasonable measures" to safeguard confidential information. Processing sensitive data on third-party cloud infrastructure — where it is decrypted and handled in plaintext — may constitute a failure to meet this legal obligation. AutoVersio's on-premise architecture ensures all data remains within your physical control zone, fulfilling the requirement for adequate protective measures and maintaining defensible trade secret protection.
Does my data really stay encrypted at all times?
With cloud AI, data must be decrypted in plaintext at the vendor's servers for processing — this is unavoidable. With AutoVersio, decryption and processing occur exclusively on hardware within your facility. Your data never traverses external networks or touches third-party infrastructure. Encryption at rest and in transit is managed according to your own security policies.
Are we exposed to foreign laws like the US CLOUD Act?
If you use US-based cloud AI providers, your data may be subject to extraterritorial access under laws like the US CLOUD Act, regardless of where servers are physically located. AutoVersio's on-premise deployment means your data is governed solely by the jurisdiction where your infrastructure resides — typically Swedish and EU law — with no foreign government access pathways.
Can we see how the AI reaches its conclusions?
Unlike cloud AI providers that operate as "black boxes" with proprietary models, AutoVersio gives you full visibility into model architecture, training data, and decision-making processes. You can audit, explain, and validate every AI output — essential for regulated industries, legal defensibility, and building stakeholder trust.
What happens if our internet connection goes down?
Since AutoVersio runs entirely on your local infrastructure, AI functionality continues uninterrupted regardless of internet connectivity. Cloud AI stops completely when the network fails. For real-time applications — industrial control, medical diagnostics, financial trading — this difference between minutes of downtime and continuous operation can be mission-critical.
Will we be locked into a specific vendor?
Cloud AI providers use proprietary APIs and formats designed to make switching costly and technically difficult. AutoVersio deploys open-standard interfaces (REST, gRPC) and avoids vendor-specific lock-in mechanisms. You own the infrastructure, the models, and the data — giving you freedom to evolve, modify, or migrate independently.
How does the latency compare to cloud AI?
Cloud AI introduces network round-trip delays — typically 50-200ms depending on distance and congestion — making it unsuitable for real-time applications. Local processing achieves near-zero latency, enabling millisecond-response AI for industrial automation, neural interface devices, and other time-sensitive use cases.
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of your AI future?
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