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At Aisosys, we develop powerful Natural Language Processing (NLP) solutions that enable machines to read, interpret, and generate human language. Whether you're building a conversational AI or extracting key data from documents, our custom NLP services make your digital systems smarter.
With a strong team of 150+ AI professionals and domain experts, Aisosys delivers enterprise-grade NLP applications tailored for your business needs, helping you understand and generate human language at scale.
Classify content into categories (spam, topic, intent)
Detect sentiment in customer reviews, social posts, or tickets
Custom sentiment scoring models for brands and products
Build intelligent, context-aware conversational bots
Integrate with WhatsApp, Messenger, Slack, and websites
Voice-based assistants for IVR or virtual support
Identify names, dates, locations, and other key entities
Use in legal, healthcare, and finance for data extraction
Custom entity recognition models for specific business domains
Auto-generate summaries of large documents or articles
Extract key insights from research papers and contracts
Translate content across 50+ languages with NMT
We analyze your business case and identify where NLP can automate operations or enhance user experience.
We collect or use your existing datasets to train models, ensuring data is clean, labeled, and structured.
Our team builds and fine-tunes models using frameworks like spaCy, Hugging Face, and OpenAI.
We deploy NLP solutions via cloud APIs or system integrations, and provide continuous monitoring and support.
NLP is a branch of artificial intelligence that allows machines to understand, interpret, and generate human language. It enables applications like chatbots, summarization, and translation.
Yes. We design and build custom AI chatbots tailored to your industry, integrated with your CRM, website, or messaging platforms.
Absolutely. Our NLP solutions can handle multiple languages and can be localized to support global audiences.
Our sentiment analysis models are highly accurate (up to 90–95%), trained and fine-tuned on domain-specific datasets for best results.
Yes. We use both extractive and abstractive summarization models to generate concise, readable summaries of long texts.