Our Solutions
A hybrid approach combining high-resolution digitization of fragile manuscripts with the structured inference capabilities of modern large-language models.
Technology Meets Scholarship
Rather than generating content, our AI tools extract patterns, map morphology, and reconstruct phonetics—traditionally labor-intensive scholarly work that once required decades of manual effort.
All datasets undergo human review. Semantic artifacts are cross-referenced with verified historical corpora to minimize probabilistic model noise and ensure scholarly accuracy.
Solution Components
| Component | Description |
|---|---|
| Corpus | Comprehensive linguistic data from manuscripts, academic sources, and field recordings from remaining speakers. |
| Phonology | Spectrogram-interleaved tokenization modeling phonetic features, tone, pitch, and rhythm. |
| Grammar | Morphosyntactic system identification and reconstruction of foundational language logic. |
| AI Model | Custom-trained model emulating structural grammatical rules rather than mimicking surface patterns. |
| Living Archive | Accessible repository for researchers, academics, and descendant communities for study and language revitalization. |
Real-Time Orthographic Alignment
Our systems enable real-time orthographic alignment across centuries, allowing scholars to interact with materials in dynamically transliterated environments.
Neural systems identify lexical drift across related language families—capabilities that extend beyond traditional comparative philology.
Our Principles
Human Supervision
All datasets undergo human review. Semantic artifacts are cross-referenced with verified historical corpora to minimize probabilistic model noise.
Scholarly Rigour
We remain dedicated to manual scholarship—reviewing manuscripts, dialectal phrases, and reconstructions through human processes rather than automating semantic meaning.
Accessibility
We prioritize empowering communities and researchers through structured, accessible datasets and analytical tools that democratize linguistic research.
Automation accelerates access—but human expertise remains at the heart of all semantic interpretation.