Which AI model works for your business?
Domain-specific benchmarks in DE/FR/IT. We test models on your tasks, not generic benchmarks.
Performance Products
- Model rankings and head-to-head comparisons
- Failure mode analysis and selection recommendation
- Standard mode: quarterly benchmark intelligence
- Custom mode: full pipeline against your model
- Full ranking table with domain-specific performance
- Swiss language quality (DE/FR/IT)
- EU AI Act compliance scores
- Total cost of ownership analysis
Built for Swiss reality.
Swiss-Bench covers 436 evaluation scenarios across 11 tasks, testing models in German, French, and Italian on domain-specific tasks. Unlike generic benchmarks (MMLU, HellaSwag), Swiss-Bench measures what matters for Swiss enterprises: jurisdiction confusion, bureaucratic German (Verwaltungsdeutsch) comprehension, temporal decay, language register errors, and cross-lingual consistency.
Fine-tuning: when a small model beats the large ones.
Domain-specific fine-tuning on curated, expert-verified data can dramatically outperform general-purpose models. A fine-tuned 8B parameter model, trained on a meticulously designed domain-knowledge-driven instruction dataset, consistently outperforms models with 10–25× more parameters on domain-specific tasks.
Cybersecurity: CyberPal-CH
| Model | Parameters | CyberBench-CH Score | Runs Locally |
|---|---|---|---|
| GPT-4o | >200B (est.) | 68% | No (API only) |
| Llama 3 70B (base) | 70B | 61% | No (too large) |
| Foundation-Sec-8B (Cisco) | 8B | 59% | Yes |
| Qwen 2.5 8B (base) | 8B | 51% | Yes |
| CyberPal-CH 8B (fine-tuned) | 8B | 79% | Yes |
Finance: FinBench-CH (projected)
| Model | Parameters | FinBench-CH Score | Runs Locally |
|---|---|---|---|
| GPT-4o | >200B (est.) | 64% | No (API only) |
| Llama 3 70B (base) | 70B | 57% | No (too large) |
| Qwen 2.5 14B (base) | 14B | 48% | Yes |
| FinPal-CH 14B (fine-tuned) | 14B | 76% | Yes |
The intelligence you receive.
“Which model should we use?”
Your team is choosing between 3–5 AI models for a Swiss-German customer service chatbot. Vendor benchmarks rarely reflect real-world Swiss performance. Our benchmark report shows exactly which model handles Verwaltungsdeutsch, French, and Italian — with accuracy scores, hallucination rates, and cost per query. You make the decision with data, not opinions.
“Is our AI making things up?”
Your AI system cites Swiss regulations in customer-facing responses. But does Art. 41 OR actually say what the model claims? Our evaluation quantifies the hallucination rate: which topics are reliable, where does the model fabricate facts, and how often does it invent legal references that don’t exist.
“Can we trust the numbers it generates?”
Your AI processes financial reports, insurance claims, or patient summaries. A single wrong figure — an incorrect premium calculation, a fabricated lab value, a misquoted balance sheet entry — creates liability. Our domain-specific benchmarks measure factual accuracy on Swiss financial data, healthcare terminology, and industry-specific reasoning, so you know exactly where the model is reliable and where it needs guardrails.
What you receive.
Schedule a scoping call.
Start with a 5-model evaluation (from CHF 8,000) or commission a full 30+ model sweep. First step is always a scoping call. No preparation needed.