Natural Language Processing has evolved from keyword matching to deep understanding of sentiment, entities, intent, and multilingual context. Advanced NLP apps power customer support automation, contract analysis, content moderation, and semantic search.
Modern stacks combine transformer models with domain-specific fine-tuning, vector databases for semantic retrieval, and pipeline orchestration for production reliability. The barrier to entry has dropped, but production-grade NLP still requires careful evaluation of accuracy, latency, and cost.
EddyTools builds NLP solutions that solve real business problems—reducing support ticket volume, extracting insights from unstructured data, and enabling conversational interfaces that understand nuance.
- Deploy sentiment analysis and entity extraction at scale
- Build semantic search over documents and knowledge bases
- Fine-tune models for domain-specific accuracy