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Top Natural Language Processing Companies in United States

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60 companies for Natural Language Processing in United States

Attivio's Logo

Attivio

Boston, United States

B

11-50 Employees

2009

Key takeaway

Attivio enhances enterprise decision-making by providing immediate visibility to information through its always-learning platform. This capability allows organizations to leverage Natural Language Processing to tackle complex questions and gain insights quickly.

Reference

Product

Natural Language Processing | Attivio

NLP Labs's Logo

NLP Labs

Cary, United States

B

1-10 Employees

2022

Key takeaway

NLP Labs emphasizes its role in enhancing access to big data through the use of Natural Language Processing (NLP) and AI, offering tailored services that enable clients to effectively analyze and derive insights from large datasets. Their focus on removing technological barriers helps both researchers and the public leverage data more efficiently.

Reference

Core business

Natural Language Processing - Big-Data Provision and Analysis

Increasing agility, reducing fragility!

Lexalytics's Logo

Lexalytics

Amherst, United States

B

11-50 Employees

2003

Key takeaway

Lexalytics, an InMoment Company, has been recognized for its innovation in natural language processing (NLP) and offers a comprehensive suite of text analytics APIs that can seamlessly integrate into various products and platforms. Their solutions enhance sentiment analysis, topic detection, and categorization, making it easier to extract valuable insights from unstructured text.

Reference

Core business

Home - Lexalytics

The most feature-complete NLP feature stack on the market, 19 years in development and constantly being improved with new libraries, configurations, and models.

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SyTrue's Logo

SyTrue

Chico, United States

B

11-50 Employees

2012

Key takeaway

SyTrue leverages proprietary Natural Language Processing (NLP) technology to efficiently process over a billion medical records, enabling healthcare experts to quickly identify clinically and administratively relevant information.

Reference

Core business

Natural Language Processing For Health Plans and Providers

Automated Insights's Logo

Automated Insights

Durham, United States

B

51-100 Employees

2007

Key takeaway

Automated Insights specializes in natural language generation (NLG), a technology that converts data into clear, human-like narratives. Their platform, Wordsmith, is utilized by organizations like Wehkamp to automate product descriptions for a vast array of products.

Reference

Core business

Automated Insights: Natural Language Generation

Natural Language Generation

Alexandria Technology's Logo

Alexandria Technology

Los Angeles, United States

B

11-50 Employees

2012

Key takeaway

The company, Alexandria Technology, is a pioneer in Natural Language Processing (NLP) and machine learning, particularly within the investment industry. They have developed a powerful NLP platform that provides highly accurate data on entities, topics, and sentiment, showcasing their expertise and innovative approach in text analysis.

Reference

Core business

A Pioneer in Natural Language Processing Sentiment Analysis

Our team has deep background and experience in Quantitative Finance, Statistics, and Computer Science. Launched in 2012, we are a leader and pioneer in Natural Language Processing (“NLP”) and machine learning within the investment industry.

MindWaveAI | Artificial Intelligence Software's Logo

MindWaveAI | Artificial Intelligence Software

Sunnyvale, United States

B

51-100 Employees

-

Key takeaway

The company, MindWaveAI, emphasizes its expertise in Natural Language Processing (NLP) through its proprietary AI platform, which is designed to enhance workflows across various industries. With over 30 years of experience in AI, they leverage one of the best NLP engines to drive transformative growth.

Reference

Product

Natural Language Processing | MindWaveAI

Expert.ai's Logo

Expert.ai

Boston, United States

B

251-500 Employees

1989

Key takeaway

Expert.ai specializes in Natural Language Processing (NLP) solutions that enhance claims management by automating document reading and data extraction. Their approach leverages existing information to deliver actionable insights, ultimately improving R&D productivity and operational efficiency.

Reference

Product

Discover our Natural Language Processing Solutions | expert.ai | expert.ai

Explore how our Natural Language Processing solutions leverage the value of information hidden in language for automation, insight and efficiency.

Voxpow's Logo

Voxpow

Town of Middletown, United States

B

1-10 Employees

2020

Key takeaway

Voxpow specializes in Natural Language Processing (NLP) for voice and speech, offering features like speech recognition and voice searching in over 100 languages. Their use of Machine Learning models ensures immediate text conversion as users speak, enhancing the user experience with low latency delivery.

Reference

Product

Natural Language Processing for voice and speech — Voxpow.com

Check our Natural Language Processing features ✓ Speech Recognition ✓ Voice searching directly to your website. Easy installation and a single point of control.

Plasticity's Logo

Plasticity

San Francisco, United States

B

1-10 Employees

2016

Key takeaway

Plasticity offers accessible and powerful natural language processing (NLP) technology, providing companies and developers with tools to understand unstructured data and build NLP capabilities into their applications. Their API supports various NLP tasks, ensuring high accuracy for information extraction and entity recognition.

Reference

Core business

Plasticity · Natural Language Processing APIs

Plasticity is a simple, powerful Natural Language Processing API built for developers. Use our API to handle tokenization, parts of speech tagging, dependency parsing, relation extraction, named entity recognition, and more.


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Information about Natural Language Processing in United States

When exploring the Natural Language Processing (NLP) industry in the United States, several key considerations come into play. The regulatory landscape is essential, as data privacy laws such as the California Consumer Privacy Act (CCPA) shape how companies handle user data. Understanding these regulations is crucial for compliance and building trust with consumers. Additionally, the industry faces challenges such as the ethical implications of AI and potential biases in language models, which can impact public perception and user adoption. Opportunities abound in the NLP sector, driven by advancements in machine learning and AI, which enhance the capabilities of language processing systems. Companies are leveraging NLP in various fields, including healthcare for patient data analysis, finance for sentiment analysis, and customer service through chatbots. The competitive landscape is dynamic, with numerous startups and established tech giants vying for dominance, making it essential to monitor industry trends and innovations. Environmental concerns are becoming increasingly relevant, as the energy consumption of large-scale AI models raises sustainability questions. Lastly, the global market relevance of NLP continues to grow, with international collaborations and the need for multilingual support boosting demand. Staying informed about these factors will provide a comprehensive understanding of the NLP landscape in the U.S. and help individuals make informed decisions when researching companies in this field.


Insights about the Natural Language Processing results above

Some interesting numbers and facts about your company results for Natural Language Processing

Country with most fitting companiesUnited States
Amount of fitting manufacturers1376
Amount of suitable service providers1062
Average amount of employees11-50
Oldest suiting company1989
Youngest suiting company2022

Frequently asked questions (FAQ) about Natural Language Processing Companies

Some interesting questions that has been asked about the results you have just received for Natural Language Processing

Based on our calculations related technologies to Natural Language Processing are Big Data, E-Health, Retail Tech, Artificial Intelligence & Machine Learning, E-Commerce

Start-Ups who are working in Natural Language Processing are NLP Labs, Voxpow

The most represented industries which are working in Natural Language Processing are IT, Software and Services, Other, Education, Healthcare, Research

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Natural Language Processing results by various countries

Related categories of Natural Language Processing