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Natural Language Processing
Text understanding, intelligent chatbots, sentiment analysis, and document processing that turn unstructured language into structured business value.
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Every business sits on a mountain of unstructured text — support tickets, contracts, reviews, call transcripts — that nobody has time to read at scale. We build NLP systems that read it for you and turn it into structured, searchable, actionable data.
Depending on the task, we combine fine-tuned open-source language models with retrieval-augmented generation grounded in your own documentation, so chatbots and assistants answer from your actual policies and product data instead of hallucinating. For simpler, high-volume tasks like ticket triage or document classification, we favor smaller, purpose-built models that are faster and cheaper to run in production.
Typical deployments include customer-facing support chatbots, automated contract and document review, sentiment analysis across review and support channels, and summarization tools that compress hour-long call transcripts into a paragraph a manager can actually read.
Depending on the task, we combine fine-tuned open-source language models with retrieval-augmented generation grounded in your own documentation, so chatbots and assistants answer from your actual policies and product data instead of hallucinating. For simpler, high-volume tasks like ticket triage or document classification, we favor smaller, purpose-built models that are faster and cheaper to run in production.
Typical deployments include customer-facing support chatbots, automated contract and document review, sentiment analysis across review and support channels, and summarization tools that compress hour-long call transcripts into a paragraph a manager can actually read.
Key Features
- Custom chatbots and virtual assistants grounded in your own documentation via retrieval-augmented generation
- Automated document classification, extraction, and summarization pipelines
- Sentiment and intent analysis across support tickets, reviews, and call transcripts
- Fine-tuning of open-source language models for domain-specific vocabulary
- Multi-language support for global customer bases
- Human-in-the-loop review workflows for high-stakes or low-confidence decisions
Tech Stack
Hugging Face
LangChain
OpenAI API
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