AI
EU AI Act, FINMA, nFADP. Regulatory evidence.
Learn more → Performant?Swiss-Bench DE/FR/IT. Domain benchmarks.
Learn more → Reliable?Hallucinations, RAG, production stability.
Learn more → Secure?Prompt injection, adversarial testing, leakage.
Learn more →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 will require technical compliance evidence from 2027. AI models hallucinate in up to 17% of legal queries, production systems fail without warning, and prompt injection attacks go undetected. There is no Swiss evaluation infrastructure that independently tests compliance, performance, reliability, and security.
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 5,000 |
| 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 four questions in a single framework: Compliant? Performant? Reliable? Secure? The HAAS (Helvetic AI Assurance Score) evaluates each model across 8 dimensions, grouped into 4 pillars. Three service tiers scale from automated scores to evidence-based remediation prescriptions: Measurement, Measurement + Diagnostic, Measurement + Diagnostic + Remediation. Built on frameworks from the UK AI Security Institute and ETH Zurich, extended with our proprietary Swiss-Bench.
HAAS Score
8 dimensions across 4 pillars: Compliant (Safety, Compliance, Swiss Languages, Documentation), Performant (Performance, Robustness), Reliable (Production Reliability), Secure (Adversarial Security). Each dimension 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.
Sovereign AI Lab
Open-source and open-weight models run on our own hardware in Switzerland at reference quality and production quality. Proprietary models are evaluated via their providers’ APIs. Your data never leaves Switzerland.
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.
EU AI Act Readiness Assessment
An insurer has its AI-based claims management evaluated against EU AI Act technical requirements: gap analysis and remediation roadmap ahead of the 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.
Full SOTA Sweep for Hospital Group
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.
RAG System Reliability
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 Assistant in Production
A SOC team evaluates whether their AI-powered assistant delivers consistent, accurate outputs under production load. Reliability evidence for the operations board.
Prompt Injection Testing
A managed security provider tests AI models for prompt injection vulnerabilities and adversarial attacks. Which models resist manipulation in Swiss-German enterprise contexts?
Data Leakage Assessment
A pharmaceutical company assesses whether its AI systems leak sensitive data through model outputs. Systematic testing for PII exposure, training data extraction, and cross-session information leakage.
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 Research Papers (2026a, 2026b).
- Research Ph.D. Political Science (HU Berlin), Postdoc Harvard & Cambridge
- Technology MSc Computer Science (CU Boulder, ongoing), HarvardX Data Science
- Cyber Security CAS Cyber Security Defence & Response (HSLU), Postgraduate Cyber Defence (Kommando Cyber)
- Practice AI governance & automation, cyber security at critical infrastructure
