Build high-performance Natural Language Processing applications using SpaCy’s Python-based NLP engine, optimized with Python and C++ for speed. Oodles leverages SpaCy to deliver scalable NLP solutions including named entity recognition, dependency parsing, text classification, and custom pipelines integrated with modern backend systems.
SpaCy is an open-source NLP library built primarily in Python and optimized with Python and C++ for production-grade performance. It provides pre-trained models for 60+ languages and advanced capabilities such as Named Entity Recognition (NER), dependency parsing, text classification, and custom pipeline development. At Oodles, SpaCy is used to build fast, reliable, and scalable NLP systems that seamlessly integrate with enterprise APIs and cloud platforms.
Optimized with Python and C++ for high-speed NLP processing at scale.
Built for real-world deployment with robust pipelines.
Train domain-specific NER, classifiers, and parsers.
Supports 60+ languages with pre-trained models.
Build high-performance NLP solutions with a proven, efficient process.
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Assess: Identify NLP use cases and data requirements.
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Design: Architect custom SpaCy pipelines with NER, parsing, and classification.
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Train: Fine-tune models on your domain-specific data.
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Test: Validate accuracy, speed, and integration.
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Deploy & Scale: Serve SpaCy pipelines via Python APIs, FastAPI microservices, and containerized cloud deployments.
Extract people, organizations, locations, and custom entities.
Analyze grammatical structure and relationships in sentences.
Categorize documents with sentiment, intent, or topic models.
Break text into tokens and reduce words to base forms.
Build modular, reusable NLP workflows.
Deploy SpaCy pipelines using Python APIs, REST services, microservices, and cloud-native architectures.
Oodles builds enterprise-grade SpaCy NLP solutions using Python-based pipelines and optimized C++ backends to deliver fast, accurate, and scalable language intelligence across industries.
Extract entities, clauses, and insights from contracts and reports.
Analyze clinical notes, extract diagnoses, and identify symptoms.
Classify tickets, detect intent, and route queries intelligently.