Natural Language Processing
Retrieval, classification, extraction and summarisation over organisational language — contracts, tickets, records, correspondence and regulation.
Applied work on existing language models with retrieval and evaluation. PANTERRA does not pretrain language models and publishes no benchmark comparisons.
Definition, without the vocabulary game.
Natural language processing lets software read, classify, extract from and generate human language.
Our actual scope of work.
Retrieval, extraction, classification and summarisation over an organisation's own text, including Indic-language handling, with evaluation sets and guardrails before anything reaches users.
Where it is used.
- Contract and record extraction
- Support and correspondence triage
- Semantic search over internal knowledge
- Multilingual devotee, citizen and customer interfaces
How a system in this area is layered.
Current status
Commercial as applied work on existing language models. PANTERRA does not pretrain language models.
Future direction
Domain-tuned retrieval and evaluation packs for institutional, healthcare and manufacturing language.
What this division covers.
- Retrieval-Augmented Generation
- Document Extraction
- Classification & Routing
- Summarisation
- Semantic Search
- Multilingual & Indic Language Handling
- Evaluation & Guardrails
- Conversational Interfaces
Discuss a natural language processing engagement.
Founder-led scoping, written architecture, no sales layer.