Advania's Trusted AI Platform

Full AI capability.Sovereignty intact.

Yggdrasil is the architectural layer that lets Nordic enterprises use every AI model, including frontier models, without sending sensitive data outside Swedish jurisdiction.

Problem

Nordic enterprises face a real tradeoff.

The most capable AI models live in US cloud infrastructure. The most sensitive enterprise data has to stay on Swedish soil. Regulated organisations in the Nordics run into this contradiction every day. Yggdrasil is built to solve it.

01

Compliance paralysis

Legal and security teams block AI adoption entirely. No approved solution meets data-sovereignty requirements. Public sector, healthcare, and financial services are denied productivity gains that less-regulated competitors already capture.

02

Shadow AI

0%of EU workers use genAI at work
0%do so through official channels

Employees use ChatGPT, Claude, and Copilot without approval. Sensitive data leaks to US providers with no audit trail, no governance, no control.

03

Quality–sovereignty tradeoff

On-premises-only deployments accept lower-quality models. Frontier models stay out of reach because they require cloud APIs. The choice becomes: stay compliant and fall behind, or break compliance and keep up.

04

Invisible AI spend

Organisations running AI at scale have no visibility into what inference costs per team, project, or use case. GPU spend is invisible to finance. Charge-back and showback models cannot exist without instrumented consumption.

Yggdrasil at a glance

One platform. Every model.
Sovereign by architecture.

Yggdrasil is the foundation for building, operating, and governing AI systems on Swedish infrastructure. One policy-enforced layer connects models, data, agents, and applications. Sovereignty is enforced in the infrastructure, not the policy document.

Unified
access
01

Unified access

One API for on-premises open-source models and frontier models. Stream, batch, cache, version, and track cost through a single surface.

Architectural
sovereignty
02

Architectural sovereignty

T1 and T2 data never leaves Swedish infrastructure. Enforcement lives in Yggdrasil Guardrails, not the policy document. Misconfiguration cannot cause a sovereignty breach.

Built-in
governance
03

Built-in governance

Immutable audit trail, per-tenant cost attribution, guardrails for PII and prompt injection, tooling for EU AI Act, GDPR, and NIS2. Audit artefacts generated automatically.

Built on Advania Swedish GPU infrastructure · GDPR · Schrems II · EU AI Act · NIS2 · ISO/IEC 27001
Who it's for

Built for Nordic organisations that cannot compromise on where their data lives.

Five segments, one platform. Policy mode and deployment tier configured per tenant.

Platform architecture

Shared AI infrastructure, consumed by every product.

Four layers. Applications on top, the platform in the middle, infrastructure below, identity and compliance running end to end. Build once, scale everywhere.

Yggdrasil Guardrails

The compliant path is the only available path.

Yggdrasil Guardrails classify every request against a four-tier sensitivity model and route it according to your policy mode. Sensitivity classification, model selection, and policy enforcement happen before a single token is generated. Fail-closed by default.

TierClassificationExamples
T1RestrictedPatient records, trading data, personnummer, matter files
T2ConfidentialInternal memos, draft contracts, non-public financials
T3InternalGeneral business content, internal documentation
T4PublicPublished content, marketing material, public data
01

Classification is deterministic first, LLM-assisted second. Sensitive data cannot be misrouted by model error.

02

Fail-closed default: when tier is uncertain, request routes on-premises.

03

Every routing decision is audit-logged. Immutable. Customer-accessible.

Capabilities

Eleven capabilities. One governed platform.

Two cross-cutting systems run through every request. Nine functional capabilities cover the platform surface. Everything generates audit events. Everything respects tenant isolation.

Roadmap

From discovery to MLP 1 launch.

Four phases from discovery to MLP 1, then the Q4 expansion. MLP 1 ships all seven core capabilities, each with a platform console and UX, targeting August 10, 2026. The date is a working target, not a committed SLA; the sequence is confirmed.

Governance & compliance

Governance is the platform, not a module.

Compliance frameworks are not features we added. They are how the platform is built. Every design decision traces back to a regulatory driver. Every audit artefact is generated automatically.

Audit & reporting
Generated automatically. Exportable on demand.
  • Immutable audit trail per request
  • Per-tenant storage isolation in Qdrant and object storage
  • Customer API access to audit logs
  • Article 30 records exportable in JSON and CSV
  • SIEM integration through OpenTelemetry export
Deployment & pricing

Two choices, four combinations.

Application isolation and inference placement are independent choices — customers can mix and match. T1 and T3 are the packaged offers that anchor the GTM; the mix-and-match cells unlock additional segments without new product builds.

Dedicated GPU

Customer-owned H200 nodes

Shared GPU pool

Country-level pooled H200s

Isolated

Dedicated K8s + own platform

T1

Fully sovereign

  • Customer's own K8s cluster
  • Dedicated H200 nodes (S/M/L)
  • Nothing shared with other tenants

Best forRegulated · public sector

MIX

Sovereign app · pooled inference

  • Own application cluster
  • Inference on shared GPU pool
  • Lower cost than full T1

Best forSovereignty without GPU CAPEX

Shared

Multi-tenant K8s, row-level data isolation

MIX

Shared app · dedicated inference

  • Multi-tenant K8s app stack
  • Customer-owned GPU capacity
  • Reserved capacity, predictable throughput

Best forThroughput guarantee

T3

Fully shared

  • Multi-tenant K8s + platform
  • Row-level data isolation
  • Lowest unit economics

Best forSMB · self-serve · roadmap

Packaged offers (T1 / T3) anchor the GTM; mix-and-match cells unlock additional segments without new product builds.

How billing maps to your cell
01
Platform subscription
All cells · annual, per tenant
Access to Yggdrasil, governance, observability, admin console, connectors, SLA-backed support. Independent of consumption volume. The platform fee reflects the trust layer you are buying.
02
Inference consumption
Shared GPU pool column · cells T3 & MIX (Sovereign app)
On-demand: pay per token, flexible for variable workloads. Available at MLP.
Provisioned throughput: reserved capacity for predictable cost and latency. Roadmap
03
Dedicated capacity
Dedicated GPU column · cells T1 & MIX (Shared app)
Committed H200 capacity (S/M/L), all-in pricing aligned to allocated nodes.

Indicative pricing under NDA. Quotes tailored to your cell, workload profile, and support tier. Every cell runs on Swedish soil and includes the full governance and observability layer.

FAQs

Answers for the questions your team will ask.