Where is our data actually stored?
On a sovereign European cloud platform — your data is hosted and processed within Europe, under European regulations.
Who can access our data?
Only those you authorize. Sovereignty means you keep control over access, not your provider — and we design your architecture to enforce exactly that.
How does this help with the EU AI Act, NIS2, and GDPR?
We build compliance into the architecture from the start, so your infrastructure is designed to meet these requirements rather than retrofitted to them. For specific legal interpretation, we'll always recommend involving your compliance team.
What about especially sensitive data?
A hybrid setup keeps sensitive data and its processing in a private, controlled environment, while less critical workloads run in the public cloud for maximum scale and speed.
How are encryption and key management handled?
Data is encrypted in transit and at rest. Keys are managed through AWS Key Management Service inside your own account, so key control stays with you — including customer-managed keys where required.
Where is our data actually stored?
On a sovereign European cloud platform — your data is hosted and processed within Europe, under European regulations.
Who can access our data?
Only those you authorize. Sovereignty means you keep control over access, not your provider — and we design your architecture to enforce exactly that.
How does this help with the EU AI Act, NIS2, and GDPR?
We build compliance into the architecture from the start, so your infrastructure is designed to meet these requirements rather than retrofitted to them. For specific legal interpretation, we'll always recommend involving your compliance team.
What about especially sensitive data?
A hybrid setup keeps sensitive data and its processing in a private, controlled environment, while less critical workloads run in the public cloud for maximum scale and speed.
How are encryption and key management handled?
Data is encrypted in transit and at rest. Keys are managed through AWS Key Management Service inside your own account, so key control stays with you — including customer-managed keys where required.
Where is our data actually stored?
On a sovereign European cloud platform — your data is hosted and processed within Europe, under European regulations.
Who can access our data?
Only those you authorize. Sovereignty means you keep control over access, not your provider — and we design your architecture to enforce exactly that.
How does this help with the EU AI Act, NIS2, and GDPR?
We build compliance into the architecture from the start, so your infrastructure is designed to meet these requirements rather than retrofitted to them. For specific legal interpretation, we'll always recommend involving your compliance team.
What about especially sensitive data?
A hybrid setup keeps sensitive data and its processing in a private, controlled environment, while less critical workloads run in the public cloud for maximum scale and speed.
How are encryption and key management handled?
Data is encrypted in transit and at rest. Keys are managed through AWS Key Management Service inside your own account, so key control stays with you — including customer-managed keys where required.
Where is our data actually stored?
On a sovereign European cloud platform — your data is hosted and processed within Europe, under European regulations.
Who can access our data?
Only those you authorize. Sovereignty means you keep control over access, not your provider — and we design your architecture to enforce exactly that.
How does this help with the EU AI Act, NIS2, and GDPR?
We build compliance into the architecture from the start, so your infrastructure is designed to meet these requirements rather than retrofitted to them. For specific legal interpretation, we'll always recommend involving your compliance team.
What about especially sensitive data?
A hybrid setup keeps sensitive data and its processing in a private, controlled environment, while less critical workloads run in the public cloud for maximum scale and speed.
How are encryption and key management handled?
Data is encrypted in transit and at rest. Keys are managed through AWS Key Management Service inside your own account, so key control stays with you — including customer-managed keys where required.

Discover: LLM Discovery Workshop

A focused working session to define objective quality and safety benchmarks for your AI application. Together with your engineering, product, and risk stakeholders, we uncover critical vulnerability vectors, map domain-specific failure modes, and establish clear criteria for what constitutes production-ready output.

Duration

1 day on-site

Scope
  • Risk and quality definition
  • draft rubric
  • four-layer test plan
Deliverables
  • Production quality & risk rubric
  • Four-Layer Evaluation Plan
  • Prioritized Adoption Roadmap

Build: Test Framework & Guardrails

The core engineering phase. We translate your evaluation rubrics into a modular, code-based test suite that evaluates system behavior, factual fidelity, and safety guardrails. We assemble a verified golden dataset of expert-approved responses, automate core user journeys, and subject the system to systematic adversarial red-teaming before releasing it to production.

Duration

8 weeks

Scope
  • Quality rubric and golden set
  • Baseline and sign-off flow
  • Interface and end-to-end automation
Deliverables
  • Automated Testing Suite
  • Engineered Guardrail System
  • Proprietary Test Asset Package

Deploy: Production Monitoring & CI/CD Integration

Integrate the evaluation framework directly into your deployment pipeline so that every commit, prompt modification, and model update is automatically tested. In production, we continuously observe live interactions, track latency and inference costs, and trigger automated alerts the moment answer quality drifts or a safety policy is breached.

Duration

scoped to your environment

Scope
  • Pipeline or scheduled test execution
  • live evaluation of conversations
  • performance and cost tracking
Deliverables
  • CI/CD Pipeline Integration
  • Continuous Production Observability
  • Cost & Latency Telemetry

Manage: Managed Quality Assurance

We maintain and evolve your testing infrastructure as an ongoing managed service. Foundation model updates, changing user behaviors, and application modifications can introduce subtle regressions. We continuously calibrate your evaluation models, expand your test sets based on real-world edge cases, and tune guardrails to keep your application reliable and defensible over time.

Duration

ongoing, monthly

Scope
  • Per-release test runs
  • test set maintenance
  • evaluation re-validation
Deliverables
  • Continuous Golden Dataset Updates:
  • Verified Release Sign-Off Reports
  • Monthly Reliability & Telemetry Reviews

Discover: LLM Discovery Workshop

A focused working session to define objective quality and safety benchmarks for your AI application. Together with your engineering, product, and risk stakeholders, we uncover critical vulnerability vectors, map domain-specific failure modes, and establish clear criteria for what constitutes production-ready output.

Duration

1 day on-site

Scope
  • Risk and quality definition
  • draft rubric
  • four-layer test plan
  • ownership and roadmap
Deliverables
  • Production quality & risk rubric
  • Four-Layer Evaluation Plan
  • Prioritized Adoption Roadmap

Build: Test Framework & Guardrails

The core engineering phase. We translate your evaluation rubrics into a modular, code-based test suite that evaluates system behavior, factual fidelity, and safety guardrails. We assemble a verified golden dataset of expert-approved responses, automate core user journeys, and subject the system to systematic adversarial red-teaming before releasing it to production.

Duration

8 weeks

Scope
  • Quality rubric and golden set
  • Baseline and sign-off flow
  • Interface and end-to-end automation
  • AI-assisted quality evaluation
  • Adversarial and guardrail set
Deliverables
  • Automated Testing Suite
  • Engineered Guardrail System
  • Proprietary Test Asset Package

Deploy: Production Monitoring & CI/CD Integration

Integrate the evaluation framework directly into your deployment pipeline so that every commit, prompt modification, and model update is automatically tested. In production, we continuously observe live interactions, track latency and inference costs, and trigger automated alerts the moment answer quality drifts or a safety policy is breached.

Duration

scoped to your environment

Scope
  • Pipeline or scheduled test execution
  • live evaluation of conversations
  • performance and cost tracking
  • drift and guardrail alerting
Deliverables
  • CI/CD Pipeline Integration
  • Continuous Production Observability
  • Cost & Latency Telemetry
  • Automated Alerting & Incident Workflows

Manage: Managed Quality Assurance

We maintain and evolve your testing infrastructure as an ongoing managed service. Foundation model updates, changing user behaviors, and application modifications can introduce subtle regressions. We continuously calibrate your evaluation models, expand your test sets based on real-world edge cases, and tune guardrails to keep your application reliable and defensible over time.

Duration

ongoing, monthly

Scope
  • Per-release test runs
  • test set maintenance
  • evaluation re-validation
  • guardrail tuning
  • production monitoring and sign-off
Deliverables
  • Continuous Golden Dataset Updates:
  • Verified Release Sign-Off Reports
  • Monthly Reliability & Telemetry Reviews