AI
EU AI Act, FINMA 08/2024, nDPA. Risk classification, conformity assessment, audit-ready evidence.
Compliance path → PerformanceDomain-specific benchmarking in DE/FR/IT. Hallucination detection, model comparison, selection evidence.
Performance path →Not sure where to start? Take our 2-minute AI readiness check →
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.
How does independent AI evaluation compare to traditional approaches?
| Traditional AI Audit | Helvetic AI | |
|---|---|---|
| Timeline | 3–6 months | 5–10 days |
| Cost | CHF 100K+ (Big Four) | from CHF 8,000 |
| Methodology | Proprietary black box | Reproducible, evidence-based |
| Basis | Opinion-based | Evidence-based, systematic benchmarks |
| Independence | Vendor relationships | No commissions, no pay-for-score |
One evaluation system: independent, reproducible, Swiss-specific.
Our evaluation system answers both questions, compliance and performance, through a single framework. The HAAS (Helvetic AI Assurance Score) evaluates every model across 6 dimensions, combining regulatory compliance assessment with domain-specific performance benchmarking. Built on frameworks from the UK AI Security Institute and ETH Zurich, extended with our proprietary Swiss-Bench.
HAAS Score
6 dimensions: Performance (incl. hallucination rate), Robustness, Safety, Compliance, Swiss Language, Documentation. Each dimension scored 0–100 with confidence intervals.
Reproducible Methodology
Every evaluation follows a documented, reproducible methodology. You receive comprehensive benchmark evidence and detailed scoring breakdowns with every engagement.
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
Multiple data handoff modes from API-based evaluation to on-premise hardware and anonymize-first options. You choose the security level.
How Swiss companies use independent AI evaluation.
AI Model Validation for Banks
A regional bank validates its credit risk model against FINMA Guidance 08/2024, with HAAS Score and gap analysis for the board.
Pre-Certification for High-Risk Systems
An insurer has its AI-based claims management tested against EU AI Act technical requirements: compliance evidence for the proposed December 2027 deadline.
Model Selection with Data, Not Opinions
A company evaluates 5 AI models for Swiss legal texts. Reproducible benchmarks show which model actually handles Swiss administrative German (Verwaltungsdeutsch), French, and Italian.
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?
AI Threat Detection in Cybersecurity
A SOC team evaluates whether their AI-powered threat detection system meets EU AI Act high-risk requirements and FINMA operational resilience standards. Compliance evidence for the security operations board.
Medical AI in Health & Pharma
A pharmaceutical company validates its AI-assisted drug interaction checker against EU AI Act Annex III medical device requirements, with multilingual Swiss patient safety testing in DE/FR/IT.
Cybersecurity Incident Intelligence
A managed security provider benchmarks 5 AI models for Swiss-German incident report generation and threat intelligence summarization. Which model produces actionable SOC reports?
Clinical Documentation in Healthcare
A hospital group evaluates AI models for medical record summarization in DE/FR/IT. Hallucination rates on Swiss clinical terminology and patient safety as key metrics.
From discovery call to finished evaluation report.
Our process minimizes your effort and maximizes clarity. View full methodology →
Start with free resources
See how 9 frontier models rank on Swiss regulatory tasks in DE/FR/IT. Updated quarterly.
View leaderboard → ReportEU AI Act compliance scores and Swiss-Bench results for frontier models. Free download.
Request report → Assessment6 questions to assess your AI compliance readiness. Instant personalised recommendation.
Take the check →
Dr. Fatih Uenal
I build AI systems for regulated Swiss enterprises and have seen the governance gap first-hand. Studies show over 80% of employees use AI tools without IT approval (JumpCloud, 2026). The large consultancies ignore SMEs, the tools are too expensive, and regulation is tightening.
Helvetic AI closes that gap with independent evaluation, Swiss infrastructure, and the principle that AI can be deployed safely when you have the right evidence. Author: Swiss-Bench Methodology Research Paper.
- Research Ph.D. Political Science (HU Berlin), Postdoc Harvard & Cambridge
- Technology MSc Computer Science (CU Boulder, ongoing), MITx Statistics & Data Science
- Cyber Security CAS Cyber Security Defence & Response (HSLU), Postgraduate Cyber Defence (Kommando Cyber)
- Practice AI systems & security operations in regulated Swiss infrastructure
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.