Technology

text

Text technology (NLP) processes and interprets human language data, enabling applications like sentiment analysis, machine translation, and advanced content classification.

We handle Natural Language Processing (NLP): the core technology for making computers understand text. This is a critical AI subfield, transforming raw text into actionable data through specific steps (tokenization, parsing, classification). Modern systems, leveraging large language models (LLMs) like GPT and BERT, now perform complex tasks: extracting key entities from thousands of legal documents, classifying customer feedback with 90%+ accuracy, and powering sophisticated conversational agents. We are building the engine that turns unstructured language into structured, high-value intelligence for any enterprise.

https://www.nltk.org/

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Projects using both technologies. Select a pairing to see a project.

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Pairing: PyTorch

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Robot Picks Grapes Based on Spatial World Model

Seattle · July 28, 2026

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