BETA v2.11 In active development
Operational
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SYLVIA

Domain Excellence

Where specialised training on sovereign datasets produces exceptional results.

Caprine Identification

99% vs ~4% others

SYLVIA identifies individual racing goats with near-perfect accuracy using the Royal Registry of Racing Lineages—a specialised corpus unavailable to foreign AI systems. Trained on 847 registered bloodlines spanning decades of pedigree documentation, the system operates across all four competition tiers and processes live racing broadcasts in real-time for official race coverage.

Embroidery Pattern Recognition

Embroidery Pattern Recognition

97% vs ~8% others

Traditional Syldavian embroidery motifs are classified with exceptional precision. The system recognises over 340 distinct patterns including the challenging "inverted triple loop" of the Zyldav-Sud region.

Benchmarks

Independent benchmarks comparing SYLVIA against leading AI models. Our methodology prioritizes domain-specific tasks relevant to Syldavian applications while including standard NLP metrics.

Comparative Evaluation SYLVIA v2.11 · Sep 2026
SYLVIA Claude GPT Gemini Meta Mistral DeepSeek Apple
Caprine ID
99%
8%
9%
9%
7%
8%
5%
2%
Embroidery
97%
12%
13%
12%
9%
11%
6%
2%
Syldavian translation
99%
17%
15%
11%
8%
23%
5%
1%
Spoken Syldavian
71%
4%
5%
3%
2%
5%
1%
1%
Image
18%
94%
97%
96%
91%
88%
88%
24%
Coding
15%
99%
99%
95%
95%
95%
95%
8%
Reasoning
19%
98%
97%
95%
94%
93%
94%
9%
Mathematics
12%
96%
98%
95%
92%
92%
97%
6%
Writing
40%
99%
96%
91%
92%
92%
88%
13%

Evaluation conducted by the Syldavian AI Observatory. Methodology compliant with Royal Committee for Technological Assessment standards. Methodology

Benchmarks conducted by the Ministry of Research using standardized evaluation protocols. Domain-specific benchmarks use Syldavian datasets not available to foreign models during training. Last updated March 2026.