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 →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.
| Traditional AI Audit | Helvetic AI | |
|---|---|---|
| Timeline | 3–6 months | 5–10 days |
| Cost | CHF 200K+ (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 system combines Inspect AI (UK AI Safety Institute), Compl-AI (ETH Zurich), and Swiss-Bench (proprietary Swiss benchmarks). Every model receives a HAAS (Helvetic AI Assurance Score) across 6 dimensions, with confidence intervals and comprehensive benchmark evidence.
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
5 handoff modes: benchmark intelligence (standard), API key, Docker on your infrastructure, hardware on-site, anonymize-first. You choose.
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 27+ Compl-AI benchmarks: technical 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 →
Fatih Uenal, PhD
I build AI systems for regulated Swiss enterprises and have seen the governance gap first-hand. Studies show over 75% of employees use AI tools without formal approval. 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.
- Research PhD Political Science (HU Berlin), Postdoc Harvard & Cambridge
- Technology MSc Computer Science (CU Boulder), MITx Statistics & Data Science
- Practice AI systems & security operations in regulated Swiss infrastructure
- Location Bern, Switzerland
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.