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Swiss AI Assurance Lab

We evaluate your AI: independent, automated, reproducible.

We test AI models against EU AI Act.
You receive a KIAS Score across 6 dimensions and the complete evaluation harness to reproduce every test.
Not opinions, but evidence.

Request Evaluation → Readiness Check → All Services →
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01
The Problem
Regulation Meets Reality

AI is already in production – but nobody evaluates it independently.

50% of Swiss financial institutions already use AI, 91% of those use generative AI. Yet governance has not kept pace – only half have incorporated AI into an explicit strategy.

The EU AI Act is expected to require technical compliance evidence for high-risk systems from December 2027. FINMA already expects traceable model validation. But there is no Swiss evaluation infrastructure – and no independent auditors in the mid-market segment.

FINMA survey (published April 2025): Of ~400 surveyed financial institutions, half use AI, the governance gap is significant. Stanford study (2025): 58% hallucination rate in legal AI analysis. The EU AI Act Digital Omnibus pushes high-risk deadlines to December 2027 (Annex III) and August 2028 (Annex I).

Traditional AI Audit KI-Assurance
Timeline 3–6 months 5–10 days
Cost CHF 200K+ (Big Four) from CHF 8,000
Methodology Proprietary black box Reproducible – you keep the harness
Basis Opinion-based Evidence-based, automated benchmarks
Independence Vendor relationships No commissions, no pay-for-score

Is your AI compliant? Find out in 5–10 days.

Book a discovery call →
0%
of Swiss financial institutions already use AI
91%
of those use generative AI – governance lags behind
Dec. 2027
EU AI Act high-risk deadline (Annex III)
5–10 Days
from discovery call to finished evaluation report
Sources: FINMA AI Survey (published April 2025), EU AI Act Digital Omnibus 2025
Engine Foundation & Compliance
Inspect AI (UK AISI) Compl-AI (ETH Zurich) Swiss-Bench nDPA EU AI Act FINMA Swiss Company
Inspect AI: UK AI Safety Institute · Compl-AI: ETH Zurich / INSAIT / LatticeFlow · Swiss-Bench: proprietary Swiss language benchmarks
What We Test
Hallucinations Fact verification & confabulation Bias Discrimination & fairness Model Drift Performance degradation Explainability Transparency & traceability Robustness Adversarial & stress tests Privacy PII leakage & data protection
02
The Solution
Automated Evaluation

One evaluation engine – independent, reproducible, Swiss-specific.

Our engine combines Inspect AI (UK AI Safety Institute), Compl-AI (ETH Zurich), and Swiss-Bench (proprietary Swiss benchmarks). Every model receives a KIAS Score across 6 dimensions – with confidence intervals and the complete evaluation harness for reproduction.

KIAS Score

6 dimensions: Accuracy (incl. hallucination rate), Robustness, Fairness, Privacy, Transparency, Swiss Regulatory Alignment. Each dimension scored 0–100 with confidence intervals.

Reproducible Methodology

You receive the complete evaluation harness: configuration, seed values, datasets. You can rerun every test yourself, anytime.

Independence

No commercial relationships with any AI model provider. No referral fees. No vendor partnerships. No pay-for-score. Every model is evaluated equally.

Data Sovereignty

4 handoff modes: API key (standard), Docker on your infra (regulated), hardware on-site (premium), anonymize-first (privacy-first). You choose.

Use Cases
Industry Examples

How Swiss companies use independent AI evaluation.

FINMA-Regulated

AI Model Validation for Banks

A regional bank validates its credit risk model against FINMA Guidance 08/2024 – automated, with KIAS Score and gap analysis for the board.

EU AI Act

Pre-Certification for High-Risk Systems

An insurer has its AI-based claims management tested against 27+ Compl-AI benchmarks – technical compliance evidence for the proposed December 2027 deadline.

Evidence-Based

Model Selection with Data, Not Opinions

A company evaluates 5 AI models for Swiss legal texts. Reproducible benchmarks show which model actually handles Verwaltungsdeutsch, French, and Italian.

Hallucination Risk

Fact-Checking for GenAI Systems

A financial services firm measures its AI chatbot's hallucination rate on Swiss regulatory questions. Quantified results: which topics are reliable, where does the model fabricate facts?

Start with a risk classification from CHF 3,000 – or go straight to a model evaluation.

Get started →
03
How It Works
Four Steps to Evidence

From discovery call to finished evaluation report.

Our process minimizes your effort and maximizes clarity.

View full methodology →
1
Scoping
We define evaluation objectives, models, and benchmarks together. No preparation needed.
1 hour
2
Configuration
We configure the evaluation pipeline for your models, data, and compliance requirements.
2–4 hours
3
Automated Evaluation
The engine benchmarks automatically: KIAS Score, Swiss language quality, EU AI Act compliance, domain-specific scenarios. No manual intervention.
3–8 business days
4
Handoff
You receive the evaluation report with KIAS Scores, gap analysis, and recommendations – plus the complete evaluation harness for self-reproduction.
Delivery + harness
04
Contact
Get Started

Ready for an independent evaluation?

Start with an AI Risk Classification or a full AI Model Evaluation. Within one to two weeks you'll know where your AI systems stand – evidence-based, not opinion-based.

Schedule Consultation →
Risk Classification from CHF 3,000 · Evaluation from CHF 8,000 · FINMA Validation from CHF 15,000 · All services
Part of the Helvetic AI Family

KI-Assurance is the product brand of Helvetic AI – Swiss AI model evaluation, EU AI Act compliance, and FINMA validation from a single source.

Helvetic AI → ai-helvetic.ch
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