Register entries, incident evidence, resilience testing, third-party assurance.

Your AI. Your walls.
Our watch.
Private, open-source AI running inside your own infrastructure, with the compliance evidence your regulator demands. Purpose-built for regulated European organisations under DORA and the EU AI Act.
Built for regulated Europe
The problem
You want AI. Your regulator wants proof. Your data can't leave the building.
Public LLM APIs mean foreign jurisdiction over your most sensitive data. DORA has been binding since 17 January 2025, and EU AI Act high-risk obligations are arriving. You need AI that works inside your walls — and generates the evidence your regulator will ask for.
Built for regulators
Designed for trust.
Evidence is a feature, not an afterthought. Most private-AI vendors stop at deployment. Svalv maps technical controls and operational evidence to the frameworks that shape European AI adoption.
Read our DORA compliance analysis- DORA
- ICT resilience
- EU AI Act
- AI governance
- GDPR
- Data protection
- NIS2
- Cyber resilience
- ISO 27001
- Security management
- ISO 42001
- AI management
Model oversight, risk controls, Annex IV technical documentation.
Residency, access, minimisation, and traceable processing.
Operational controls, incident evidence, supply-chain visibility.
Control evidence for information-security operations.
A basis for responsible, auditable AI operations.
Framework references describe product-design alignment, not certification claims. Validation scope depends on deployment and customer configuration.
Audit everything
Prove instantly.
Every critical action:
>> model, prompt, document, user, policy, output << produces an immutable, verifiable audit event. Turn operational history into review-ready evidence for internal teams, auditors, and regulators.
- Model inferenceLlama 3.1 70B · eu-north-1
- Evidence record sealedEVT-2026-07-21-9821
- Policy evaluatedData residency: NO → NO
- Access grantedRole: ICT-risk · least privilege
- DORA register updatedICT third-party entry
- Resilience check passedNo external routing
Illustrative interface — example evidence events
How it works
Three steps to compliant AI.
Run the model inside your walls
Mistral, Llama, or Qwen served via vLLM — on your own GPUs or sovereign Nordic compute. No external API calls, no data egress.
Harden, isolate, and watch
A hardened runtime with an air-gap option, immutable audit trails, and continuous monitoring of every model, user, and action.
Turn operations into evidence
Auto-generated DORA register entries, EU AI Act Annex IV documentation, and resilience test reports — produced as operations happen.
Why this way
Why open-source. Why on-prem.
No data egress
Prompts, documents, and outputs never leave your infrastructure. Zero external API calls, by architecture.
No vendor lock-in
Open-weight models on standard hardware. Switch models or providers without rewriting your stack.
No CLOUD Act exposure
No US-headquartered cloud provider in the chain. European jurisdiction over European data.
Private by architecture
Identity, networking, data access, and execution boundaries are treated as core infrastructure.
Least privilege by default
Users, services, and models receive only the access required for a defined operation.
Evidence without blind spots
Technical events are captured with context so reviewers can understand what happened and why.
Honest about our stage
Pre-certification, with a stated roadmap to SOC 2, ISO 27001, and ISO 42001. No implied certifications.
About
Depth, not logos.
Svalv is founded by an engineer with deep experience in network security, cybersecurity, cloud infrastructure, and hands-on production deployment of open-source LLMs and RAG systems. Based in Tromsø, Norway.
Svalv is early. We don't have a wall of logos yet — we have depth.
Meet the founderFAQ
Frequently asked questions.
Bring sovereign AI inside your walls.
Book a call or join the pilot. We'll map your infrastructure and models to DORA and EU AI Act requirements — and the evidence to prove it.