Loading...
Classification, NER, summarization, and semantic search built for evolving corpora. Tokenization choices, embeddings, and eval suites stay aligned as language and regulations change.
Comprehensive solutions tailored to your business requirements
Calibrated classifiers for sentiment, topic, intent, and custom categories with explainability hooks for stakeholder trust.
NER, relation extraction, and knowledge graph construction from unstructured text feeding your structured data stores.
Dense/sparse hybrid search with embedding fine-tuning and cross-encoder reranking for high-precision document retrieval.
NLP pipelines covering 100+ languages with locale-aware tokenization, evaluation sets, and cultural adaptation.
Extract structured insights from unstructured text at scale
Multilingual coverage for global operations
Calibrated confidence scores for risk-aware decision making
Explainable outputs that satisfy regulatory requirements
Continuous improvement through human-in-the-loop workflows
Hybrid search combining keyword precision with semantic understanding
We fine-tune tokenizers and models on your domain corpora so specialized vocabulary is handled correctly. Custom entity types and taxonomies are built into the extraction pipeline from the start.
Yes. We implement attention visualization, SHAP values, and confidence calibration so every classification comes with an explanation. This is critical for regulated industries where decisions need justification.
We use multilingual transformer models and locale-aware preprocessing. For critical markets, we fine-tune per language and maintain separate evaluation sets to ensure quality doesn't regress in any supported locale.
We combine deep technical expertise with a product-first mindset to deliver solutions that work in the real world.
Seasoned engineers across blockchain, AI & web
200+ projects delivered globally
From discovery to production & beyond
