NLP for Healthcare Companies

In today’s fast-paced digital world, natural language processing (NLP) is playing a key role in transforming how healthcare companies operate and deliver care. From automating clinical documentation to improving patient communication and extracting insights from unstructured data, NLP helps medical organizations work more efficiently and make data-driven decisions.

Healthcare providers, insurers, and tech-driven medical companies are increasingly adopting NLP to streamline workflows, reduce administrative burden, and enhance patient outcomes. Whether you’re exploring AI for the first time or looking to optimize existing systems, NLP offers powerful tools to support innovation in healthcare.

In this article, we’ll explore how NLP is being used across the healthcare industry and highlight the key benefits it brings to forward-thinking medical organizations.

1. AI Superior

We are AI Superior, a Germany-based company specializing in AI solutions, consulting, and software engineering. Our team of PhD-level experts in data science and software development delivers projects across various industries, with a strong focus on natural language processing (NLP).

In the field of NLP, we provide services such as sentiment analysis, semantic search, speech recognition, and question answering. These capabilities are integrated into broader AI systems that also include predictive analytics, computer vision, and business intelligence tools.

In healthcare, our NLP solutions help automate the processing of medical records, improve diagnostic accuracy, and reduce administrative workload, enabling healthcare professionals to focus more on patient care.

Key Highlights:

• Based in Germany, serving international clients across industries
• Offers NLP as part of broader AI software solutions
• Team includes PhD-level AI specialists and engineers
• Experience in handling text analytics, semantic search, and speech processing
• Focuses on applied AI research and end-to-end product development

Services:

• Natural Language Processing (NLP)
• AI Software Development
• Artificial Intelligence Consulting
• Predictive Analytics
• Big Data Analytics
• Business Intelligence (BI) Solutions
• AI Research and Development
• Training and Education in AI

Contact and Social Media Information:

• Website: aisuperior.com
• Email: info@aisuperior.com
• LinkedIn: www.linkedin.com/company/ai-superior      
• Twitter: x.com/aisuperior
• Address: Robert-Bosch-Str. 7, 64293 Darmstadt, Germany
• Phone: +49 6151 3943489

2. IQVIA

IQVIA provides a natural language processing (NLP) platform designed to help healthcare and pharmaceutical organizations extract structured data from unstructured text. The platform is used for large-scale information processing across clinical records, literature, and other text sources. It supports clinical research, trial design, regulatory workflows, and real-world evidence generation.

Their NLP system enables users to search across diverse data sources, extract key facts, and present them in structured formats. The platform allows for in-house query development and includes interactive features to refine results in real time. IQVIA also offers tools that combine AI with human review to ensure reliability in medical data extraction.

Key Highlights:

• Used by major pharmaceutical companies and healthcare institutions
• Supports large-scale document processing and data extraction
• Includes tools for structured querying and real-time refinement
• Enables integration with various data environments including cloud and local storage
• Offers both automated and human-assisted review features

Services:

• NLP for clinical trial support and design
• Automated extraction of real-world data from text
• Structured querying across medical documents
• NLP-powered medical chart review and quality measure evaluation
• Development of custom NLP workflows
• Integration with third-party data systems
• Support for social determinants of health analysis
• Use in pharmacovigilance and risk adjustment modeling

Contact and Social Media Information:

• Website: www.iqvia.com
• Facebook: www.facebook.com/IQVIA
• LinkedIn: www.linkedin.com/company/iqvia
• Twitter: x.com/IQVIA_global
• Instagram: www.instagram.com/iqvia

3. John Snow Lab

John Snow Labs offers a healthcare-focused natural language processing (NLP) platform with a broad set of tools and pre-trained models tailored for clinical and biomedical use cases. Their NLP suite is designed to extract structured information from unstructured clinical text, supporting a wide range of use cases including entity recognition, de-identification, relation extraction, and summarization. The company emphasizes model accuracy and benchmark performance on established datasets.

Their platform includes over 2,500 pretrained models and supports healthcare terminologies such as SNOMED-CT, ICD-10, and MedDRA. It enables zero-shot learning, assertion status detection, and deep document understanding through contextual parsing and entity disambiguation. The system is optimized for fast inference and scalable deployment across clinical and research environments.

Key Highlights:

• Offers over 2,500 pretrained clinical and biomedical NLP models
• Supports multilingual named entity recognition and classification
• Benchmarked against industry-standard healthcare NLP datasets
• Includes tools for de-identification, entity linking, and relation extraction
• Enables scalable deployment for real-world clinical data processing

Services:

• Clinical named entity recognition (NER)
• De-identification of patient information
• Biomedical relation and concept extraction
• Question answering and summarization tools
• Integration of healthcare-specific terminologies (ICD-10, SNOMED, etc.)
• Zero-shot learning for custom entity and relation tasks
• Document classification and contextual parsing
• Platform support for inference at scale and model fine-tuning

Contact and Social Media Information:

• Website: www.johnsnowlabs.com
• Email: info@johnsnowlabs.com
• Facebook: www.facebook.com/JohnSnowLabsInc
• LinkedIn: www.linkedin.com/company/johnsnowlabs
• Twitter: x.com/JohnSnowLabs
• Instagram: www.instagram.com/johnsnowlabs
• Address: 16192 Coastal Highway Lewes, DE 19958, USA
• Phone: +1 (302) 786-5227

4. Inovalon

Inovalon provides natural language processing (NLP) tools to support healthcare organizations in extracting insights from unstructured medical data. Their approach integrates NLP into existing systems to streamline clinical decision-making, reduce manual workload, and improve the accuracy of processes like medical record review. NLP is used to identify key patient information from electronic health records, improving data access for both payers and providers.

Their platform supports use cases such as coding optimization, clinical documentation improvement, and risk score accuracy. Inovalon also evaluates NLP solutions based on factors like integration ease, scalability, interpretability, and operational sustainability. By automating the interpretation of free-text data, they aim to reduce administrative overhead and help stakeholders focus on care quality.

Key Highlights:

• Focus on automating healthcare text data analysis
• Supports providers, payers, and clinical documentation teams
• Helps reduce errors in medical record review
• Uses NLP for decision support and administrative efficiency
• Evaluates NLP performance using industry-specific criteria

Services:

• NLP for electronic health record data extraction
• Clinical decision support enhancement
• Risk score coding and optimization
• Chart review process automation
• Data consistency checks and validation
• NLP model integration and evaluation tools
• Reporting accuracy improvement through NLP
• Customization for payer and provider workflows

Contact and Social Media Information:

• Website: www.inovalon.com
• Email: media@inovalon.com
• Facebook: www.facebook.com/Inovalon
• LinkedIn: www.linkedin.com/company/inovalon
• Twitter: x.com/inovaloninc
• Phone: (301)-809-4000

5. TekRevol

TekRevol provides natural language processing (NLP) services as part of its broader AI development offerings. Their NLP solutions focus on automating text-based processes, enhancing customer communication, and enabling smarter data handling. The company offers a variety of NLP services ranging from chatbot development and sentiment analysis to fraud detection and machine translation. They develop custom models based on specific business requirements and integrate them into existing workflows.

TekRevol supports full-cycle NLP development, including model training, system integration, and ongoing support. Their platform features include speech recognition, semantic search, summarization, and information extraction. The services are aimed at improving efficiency, reducing operational costs, and enabling more accurate decision-making across various industries.

Key Highlights:

• Offers a wide range of NLP development and consulting services
• Provides tools for chatbot automation, text analytics, and translation
• Focuses on contextual understanding and deep learning integration
• Develops custom models with scalability and maintenance in mind
• Covers multilingual support and spam filtering features

Services:

• Sentiment analysis and customer feedback interpretation
• Text analytics and document classification
• NLP-powered fraud detection systems
• Enterprise chatbot development
• Custom NLP application development
• Machine translation and summarization tools
• Named entity recognition and information extraction
• NLP consulting and system integration
• Speech recognition and automated query handling

Contact and Social Media Information:

• Website: www.tekrevol.com
• Email: info@tekrevol.com
• Facebook: www.facebook.com/TekRevolOfficial
• LinkedIn: www.linkedin.com/company/tekrevol
• Twitter: x.com/tekrevol
• Instagram: www.instagram.com/tekrevol
• Address: 4201 Main St Suite # 200-122, Houston, TX 77002, United States
• Phone: +1 800-362-9239

6. Netguru

Netguru offers natural language processing (NLP) services to help businesses extract meaning and insights from large volumes of unstructured data. Their team supports clients through the entire NLP project lifecycle — from defining objectives to model deployment and continuous improvement. Netguru’s NLP solutions are used in areas like text classification, sentiment analysis, summarization, semantic search, and contract analysis.

Their services include building and training custom machine learning models, integrating pre-trained language models, and deploying production-ready systems. They also use data labeling, entity recognition, and information extraction to automate complex text analysis tasks. The company has implemented NLP in use cases across industries, including legal document review, robotics communication, and personalized e-commerce.

Key Highlights:

• Offers full-cycle NLP model development and integration
• Experienced in legal, healthcare, retail, and robotics NLP use cases
• Uses modern ML/NLP tools including BERT, RoBERTa, GPT, and spaCy
• Focuses on automating document processing and extracting key insights
• Supports both structured and unstructured data processing

Services:

• Named entity recognition and relation extraction
• Text classification and tagging
• Sentiment analysis and opinion mining
• Abstractive and extractive summarization
• Semantic search and text similarity analysis
• Contract clause detection and legal text analysis
• Question answering and context-based inference
• Multilingual text processing and machine translation
• Data labeling and annotation for NLP training
• Custom NLP consulting and project setup

Contact and Social Media Information:

• Website: www.netguru.com
• Email: hello@netguru.com
• Facebook: www.facebook.com/netguru
• LinkedIn: www.linkedin.com/company/netguru
• Twitter: x.com/netguru
• Address: Nowe Garbary Office Center ul. Małe Garbary 9 61-756 Poznań, Poland

7. Maruti Techlabs

Maruti Techlabs provides natural language processing (NLP) services focused on helping businesses manage and understand large volumes of unstructured text. Their offerings are designed to automate repetitive processes, enhance customer service, and extract insights from complex data sources. They use NLP techniques such as sentiment analysis, entity extraction, and intent classification to improve interactions and business operations.

Their development process includes feasibility studies, data preprocessing, model building, and deployment. Maruti Techlabs also offers integration and maintenance support for enterprise chatbot solutions, semantic search, and speech recognition systems. Their services are supported by a cross-functional team including data scientists, machine learning engineers, and QA specialists.

Key Highlights:

• Offers full-cycle NLP solution development from analysis to deployment
• Experience with enterprise chatbot development and speech recognition
• Focus on business-specific use cases like classification, summarization, and sentiment analysis
• Development approach includes feasibility analysis and ongoing model training
• Expertise in scaling NLP for healthcare, e-commerce, and enterprise apps

Services:

• Sentiment analysis and opinion mining
• Entity extraction from unstructured text
• Intent classification for conversational systems
• Text categorization and document classification
• Text summarization and automatic content generation
• Speech recognition and processing
• Chatbot development with natural language generation
• Semantic search integration
• NLP system upgrade and maintenance
• Custom NLP consulting and implementation strategy

Contact and Social Media Information:

• Website: marutitech.com
• Email: hello@marutitech.com
• Facebook: www.facebook.com/marutitech
• LinkedIn: www.linkedin.com/company/maruti-techlabs-pvt-ltd
• Twitter: x.com/MarutiTech
• Address: 5900 South Lake Forest Drive, Suite 300, McKinney, TX 75079
• Phone: +1-469-621-9650 

8. Appen

Appen provides data collection, annotation, and model evaluation services used in the development and implementation of natural language processing (NLP) systems across industries. The company supports the creation and improvement of large language models (LLMs), automates language-based tasks, and enables the scaling of multilingual AI solutions. Appen offers both pre-labeled datasets and custom data solutions for tasks such as translation, text summarization, and sentiment analysis.

Appen’s NLP services help businesses build and refine large language models (LLMs), automate language-based tasks, and scale multilingual AI systems. The company provides both off-the-shelf datasets and custom data solutions to train models for tasks like translation, text summarization, and sentiment analysis.

Key Highlights:

• Focus on data-centric NLP development: data collection, annotation, and evaluation
• Partnered with Microsoft on real-time translation across 100+ languages
• Extensive support for training and fine-tuning LLMs like GPT and BERT
• Strong capability in speech-to-text, entity recognition, and multi-modal AI
• Provides linguistic consulting and staffing services

Services:

• Custom NLP data collection across languages and domains
• Pre-labeled datasets for rapid model training
• Sentiment analysis, entity tagging, document classification
• Evaluation and continuous optimization of NLP models
• Voice data collection and transcription
• Staff augmentation with linguists and NLP experts
• Tools for multi-modal and multilingual AI applications

Contact and Social Media Information:

• Website: www.appen.com
• Facebook: www.facebook.com/appenglobal
• LinkedIn: www.linkedin.com/company/appen
• Twitter: x.com/AppenGlobal
• Address: Level 6/9 Help St Chatswood NSW 2067 Australia
• Phone: +61-2-9468-6300

9. Sigma.ai

Sigma.ai provides natural language processing (NLP) services focused on data annotation, machine learning model training, and custom NLP system development. Their work supports a wide range of business and technical applications, including virtual assistants, automated customer support, content classification, and healthcare data processing. The company emphasizes high-quality data labeling as a core part of effective NLP workflows.

Their approach includes identifying linguistic structures such as entities, intents, and context to make human language usable for machine learning algorithms. Sigma.ai also supports multilingual annotation for over 250 languages, helping to localize and scale NLP solutions across different markets and industries.

Key Highlights:

• Offers data labeling and NLP services in over 250 languages and dialects
• Specializes in adapting NLP for real-world applications and domain-specific use
• Supports use cases such as medical record analysis, social media monitoring, and email classification
• Experience working with speech and text-based NLP systems since 2008
• Provides flexible annotation support for conversational AI and document processing

Services:

• Entity recognition and classification
• Intent annotation for conversational systems
• Text and audio data labeling
• Multilingual NLP model support
• Medical records and clinical data processing
• Social media and sentiment analysis
• Email and support ticket routing
• Information extraction and content summarization
• PII detection and redaction
• Hate speech and misinformation detection

Contact and Social Media Information:

• Website: sigma.ai
• Address: 1101 Brickell Ave #1400, Miami, FL 33131, USA

10. InData Labs

InData Labs offers custom natural language processing (NLP) services aimed at helping businesses better understand and use human language data. Their NLP solutions are designed to automate processes, analyze unstructured text, extract valuable insights, and support decision-making across various domains. The company works with organizations looking to implement advanced language models, including ChatGPT-based systems, for specific business needs.

Their services range from sentiment analysis and feedback processing to content summarization and audience analysis. With experience in AI and machine learning development since 2014, InData Labs focuses on practical applications of NLP for marketing, customer service, product feedback, and more.

Key Highlights:

• Custom NLP solutions built for use cases such as feedback analysis, sentiment tracking, and search
• Integration of ChatGPT for conversational AI and business automation
• Experience working with large-scale unstructured data and deep learning models
• Offers NLP for various industries including marketing, e-commerce, finance, and logistics
• Uses a wide range of NLP technologies and libraries like spaCy, NLTK, BERT, and Langchain

Services:

• ChatGPT implementation for internal tools or customer-facing applications
• Sentiment analysis of social media, reviews, and brand mentions
• Customer feedback analysis for product and service insights
• Automated data collection and clustering
• Context-aware search and content summarization
• NLP-based audience profiling and demographic analysis
• Manual task automation using language models
• NLP consulting and solution integration
• Data categorization and labeling for analytics or machine learning projects

Contact and Social Media Information:

• Website: indatalabs.com
• Email: info@indatalabs.com
• Facebook: www.facebook.com/indatalabs
• LinkedIn: www.linkedin.com/company/indata-labs
• Twitter: x.com/InDataLabs
• Address: Lithuania Ukmergės g. 126,08100 Vilnius
• Phone: +1 305 447 7330

11. Addepto

Addepto offers Natural Language Processing (NLP) solutions that help businesses derive insights from unstructured text data. Their approach focuses on automating tasks, improving decision-making, and enhancing human-computer interactions through language understanding. The company uses machine learning and artificial intelligence to build systems that can comprehend, classify, and generate human language.

They develop NLP applications for industries such as manufacturing, finance, and retail. Their implementations cover predictive text, search result optimization, smart assistants, text classification, summarization, and keyword extraction. Addepto also focuses on real-time data analysis and language automation to streamline internal processes and improve compliance tracking.

Key Highlights:

• Offers NLP implementations tailored to various industries including manufacturing and finance
• Uses AI and ML for tasks such as document automation, translation, and summarization
• Supports language modeling, entity recognition, and data extraction
• Helps businesses leverage unstructured text to improve operations and visibility
• Emphasizes scalable and customized NLP deployment

Services:

• Text classification and keyword tagging
• Text summarization and extraction
• Predictive text and autocomplete tools
• Smart assistant integration
• Compliance monitoring and document automation
• Machine translation and multilingual processing
• NLP consulting and project implementation
• Integration of open-source NLP frameworks and custom pipelines

Contact and Social Media Information:

• Website: addepto.com
• Email: hi@addepto.com
• Facebook: www.facebook.com/addeptoanalytics
• LinkedIn: www.linkedin.com/company/addepto
• Twitter: x.com/addepto
• Address: Addepto sp. z o.o. Świeradowska 47, 02-662 Warsaw, Poland

12. Label Your Data

Label Your Data provides Natural Language Processing (NLP) services primarily through specialized data annotation for both text and audio formats. Their services support training and improving NLP models across various languages and industry contexts. The company focuses on building high-quality datasets that fuel NLP applications, offering services tailored to client specifications and industry needs. Their capabilities include multilingual annotation support and subject-matter expertise in areas like law and psychiatry.

They support businesses across sectors such as healthcare, insurance, e-commerce, and aviation by enabling structured analysis of unstructured data like documents and audio recordings. NLP tasks such as sentiment analysis, entity recognition, and intent classification are addressed through labeled datasets. The services are designed for use cases including document processing, speech transcription, and customer feedback analysis. Flexible engagement models are offered depending on project scope and duration.

Key Highlights:

• Multilingual support in over 55 languages
• Combination of linguistic annotation with domain expertise
• Support for both short-term and long-term annotation projects
• Experience with structured and unstructured data including audio and text
• Industry use cases across healthcare, insurance, e-commerce, and aviation

Services:

• Intent and Sentiment Analysis
• Text Annotation and Classification
• Named Entity Recognition (NER)
• Text Comparison Tasks
• Audio-to-Text Transcription

Contact and Social Media Information:

• Website: labelyourdata.com
• Email: sales@labelyourdata.com
• Facebook: www.facebook.com/label-your-data
• LinkedIn: www.linkedin.com/company/label-your-data
• Twitter: x.com/labelyourdata
• Instagram: www.instagram.com/labelyourdata
• Address: 1007 North Orange Street, 4th Floor, Suite 122, Wilmington, DE 19801, USA
• Phone: +1 844 935 2538

13. MoogleLabs

MoogleLabs offers Natural Language Processing (NLP) services focused on transforming unstructured language data into structured insights. Their approach combines artificial intelligence, machine learning, and linguistic analysis to deliver tailored NLP solutions. These solutions are designed to support applications across text, voice, and multilingual contexts. The company provides NLP development capabilities for tasks like text summarization, semantic search, sentiment classification, and more, aimed at automating processes and enabling advanced analytics.

Their NLP development process includes identifying project needs, designing product features, planning execution, and delivering implementation updates. MoogleLabs applies deep learning methods, including neural networks, to improve the performance of their NLP applications. These services are used in a range of contexts including chatbots, customer support, document processing, fraud detection, and voice recognition. The company also emphasizes adaptability in project engagement and pricing models.

Key Highlights:

• Development of NLP tools for both voice and text-based applications
• Use of deep learning techniques and neural networks
• Integration with applications, bots, and IoT devices
• Focus on document processing, language understanding, and emotion detection
• Custom development with continuous updates during the implementation phase

Services:

• Speech Recognition
• Semantic Search
• Machine Translation
• Information Extraction
• Spam Detection
• Emotion Classification
• Text Summarization
• Question Answering Systems

Contact and Social Media Information:

• Website: www.mooglelabs.com
• Email: info@mooglelabs.com
• Facebook: www.facebook.com/mooglelabs
• LinkedIn: www.linkedin.com/company/mooglelabs
• Twitter: x.com/mooglelabs
• Instagram: www.instagram.com/mooglelabs
• Address: 55 Village Centre Place Suite 307, Mississauga Ontario L4Z1V9, Canada
• Phone: +1(209) 201-0654

14. SparxIT

SparxIT provides Natural Language Processing (NLP) services designed to help businesses structure and analyze both structured and unstructured data. Their services are used across different business domains, focusing on developing applications such as chatbots, sentiment analysis tools, and document assessment systems. The company also builds NLP solutions for real-world tasks like fraud detection, product recommendations, and speech recognition, integrating machine learning models to support these applications.

Their development process includes initial project setup, data model training, baseline performance testing, iterative model tuning, deployment, and post-deployment monitoring. The company emphasizes scalability, system integration, and ongoing performance enhancement. SparxIT’s services support enterprise-level needs by offering modular NLP tools that fit into existing workflows and support data-driven decision-making.

Key Highlights:

• Step-by-step NLP model development process from setup to optimization
• Services include both text and voice data handling
• Focused applications in industries such as e-commerce, healthcare, and customer support
• Use of custom models for intent detection and named entity recognition
• Development of tools for document analysis, fraud detection, and chatbot implementation

Services:

• Named Entity Recognition
• Intent Classification
• Sentiment Analysis
• Text Summarization
• Speech Recognition
• Information Extraction
• Text Categorization
• Custom Chatbot Development
• Fraud Detection Tools
• Predictive Text Features (Autocomplete/Autocorrect)

Contact and Social Media Information:

• Website: www.sparxitsolutions.com
• Facebook: www.facebook.com/sparxitsolutions
• LinkedIn: www.linkedin.com/company/sparx-it-solutions
• Twitter: x.com/TeamSparxIT
• Instagram: www.instagram.com/TeamSparxIT
• Address: 1600 Boston Providence Hwy, Suite#209A, Walpole, MA 02081, USA
• Phone: +1 (857) 242-9910

15. Mobiz

Mobiz offers natural language processing (NLP) services aimed at helping organizations analyze, organize, and understand large volumes of unstructured text data. Their NLP solutions use machine learning algorithms to automate tasks like text classification, sentiment analysis, entity extraction, and chatbot development. The company focuses on integrating NLP with other data and AI services to enable businesses to gain actionable insights and improve their digital interactions.

Mobiz provides services that support multilingual processing, automated translation, intelligent question-answering, and document summarization. Their approach is focused on using NLP for better communication, customer engagement, and decision-making across different sectors. Their systems also support cognitive search and structured data extraction, which are useful in enterprise applications for improving search functionality and automating language-based processes.

Key Highlights:

• Combines NLP with other AI and visualization services for integrated data analysis
• Supports language modeling for applications like speech recognition and autocomplete
• Offers chatbot development for handling customer inquiries using natural language
• Provides document summarization and sentiment tracking across user interactions
• Enables cross-language support through automatic translation capabilities

Services:

• Text Classification
• Sentiment Analysis
• Named Entity Recognition
• Language Translation
• Chatbot Development
• Text Summarization
• Question Answering
• Language Modeling

Contact and Social Media Information:

• Website: mobizinc.com
• Email: info@mobizinc.com
• LinkedIn: www.linkedin.com/company/mobiz-inc
• Address: 1334 Brittmoore Rd #1327 Houston, TX 77043
• Phone: (909) 453-6700

16. Yellow

Yellow offers natural language processing services designed to help organizations use language data across different applications. Their team develops and integrates custom NLP systems that support tasks such as sentiment analysis, entity recognition, text classification, and document summarization. They also build solutions to support contextual search, speech recognition, and spam filtering using neural networks and pre-trained models.

Their NLP development process includes discovery, development, testing, and ongoing support. Yellow works with NLP frameworks like spaCy, Hugging Face Transformers, and IBM Watson, among others. The company also supports the development of virtual assistants, chatbots, and tools for emotion detection, language detection, and speech-to-text conversion for industries including healthcare, finance, retail, and telecommunications.

Key Highlights:

• Applies NLP across various industries including healthcare, finance, and supply chain
• Uses pre-built and custom AI models from platforms like Google, IBM, and Azure
• Offers emotion detection, context-aware search, and automated document processing
• Integrates conversational AI for customer service and enterprise applications
• Follows a structured NLP development process with post-deployment support

Services:

• Named Entity Recognition
• Natural Language Understanding
• Text Classification and Labeling
• Sentiment Analysis
• Context-Aware Search
• Neural Network-Based NLP
• Speech Recognition
• Spam Control
• Chatbot and Virtual Assistant Development
• Emotion Detection
• Text Summarization
• Information Extraction
• Text-to-Speech
• Language Detection
• Question Answering
• Document Processing Systems

Contact and Social Media Information:

• Website: yellow.systems
• Email: hi@yellow.systems
• Facebook: www.facebook.com/yellow.systems
• LinkedIn: www.linkedin.com/company/yellow-systems
• Twitter: x.com/yellow_systems
• Instagram: www.instagram.com/yellow.systems
• Address: 44 Tehama St, San Francisco, CA 94105, United States
• Phone: +1 (940) 601 6017

17. Movate

Movate provides natural language processing services that focus on integrating human language understanding into business systems. Their offerings are built on a foundation of machine learning, computational linguistics, and deep learning to help organizations process unstructured text data. Movate outlines the challenges involved in NLP implementation, including language diversity, data quality, and ambiguity in human communication.

They support businesses across industries like telecommunications, finance, healthcare, and marketing by embedding NLP into chatbots, virtual assistants, and text analysis tools. Movate also highlights the evolving landscape of NLP with a growing focus on conversational AI and cloud-based NLP platforms that improve automation, scalability, and collaboration.

Key Highlights:

• Provides NLP integration into software, bots, and IoT systems
• Addresses key NLP challenges like bias, data quality, and language variation
• Emphasizes cloud-based NLP platforms for easier management
• Applies NLP across multiple sectors including HR, marketing, and healthcare
• Focuses on use cases like document processing and chatbot training

Services:

• Sentiment Analysis
• Resume Screening Automation
• Chatbot Development and Training
• Language Identification
• Topic Detection
• Document Categorization
• Key Phrase Extraction
• Cloud-Based NLP Platform Integration

Contact and Social Media Information:

• Website: www.movate.com
• Email: info@movate.com
• Facebook: www.facebook.com/movateinc
• LinkedIn: www.linkedin.com/company/movate
• Twitter: x.com/movate_inc
• Instagram: www.instagram.com/movate_inc

18. Luxoft

Luxoft provides natural language processing (NLP) services designed to automate business processes, enhance decision-making, and improve operational efficiency. Their offerings focus on integrating NLP with broader machine learning and artificial intelligence frameworks. With support for cloud-agnostic deployment and modern MLOps practices, Luxoft’s NLP solutions are tailored to fit into various technical environments.

Their services include chatbot development, sentiment analysis, and automated document processing, aimed at improving customer interaction and streamlining internal workflows. Luxoft’s team focuses on aligning technology implementations with business needs, offering solutions that address real-world problems across industries.

Key Highlights:

• Emphasis on combining NLP with machine learning and 3D graphics engineering
• Integration of MLOps for scalable and maintainable deployment
• Multi-cloud support for Azure, AWS, GCP, and hybrid environments
• Use cases in fraud detection, stock prediction, and customer service automation

Services:

• Sentiment Analysis
• Chatbot Development
• Automated Document Processing
• Fraud Detection Support
• NLP Integration for Customer Experience
• Real-time News and Stock Data Analysis

Contact and Social Media Information:

• Website: www.luxoft.com
• Facebook: www.facebook.com/Luxoft
• LinkedIn: www.linkedin.com/companies/luxoft
• Twitter: x.com/Luxoft

19. Softweb Solutions

Softweb Solutions provides natural language processing (NLP) services focused on helping organizations turn unstructured text data into actionable insights. Their approach includes developing systems that automate and enhance tasks such as document processing, customer service, and analytics using language-based AI technologies. Their offerings support custom integration across industries, emphasizing the use of NLP to improve interaction, accuracy, and workflow automation.

Their NLP capabilities cover semantic analytics, speech recognition, chatbots, and automated document processing. These services are built with a modern technology stack including Python, TensorFlow, PyTorch, spaCy, and Hugging Face Transformers. Softweb applies NLP in functions such as text summarization, content classification, voice command interfaces, and real-time data extraction.

Key Highlights:

• Focus on improving decision-making and operational efficiency through NLP
• Support for diverse languages and accents in speech recognition
• Use of advanced NLP frameworks and cloud-based deployment tools
• Industry application across sectors like healthcare, finance, manufacturing, and telecom

Services:

• Semantic Text Analytics
• Speech Recognition
• Custom Chatbot Development
• Automated Document Processing
• Text Classification and Sentiment Analysis
• NLP Model Deployment and Optimization

Contact and Social Media Information:

• Website: www.softwebsolutions.com
• Email: info@softwebsolutions.com
• Facebook: www.facebook.com/SoftwebSolutionsInc                    
• LinkedIn: www.linkedin.com/company/softweb-solutions                
• Twitter: x.com/softwebchicago
• Instagram: www.instagram.com/softwebsolutionsinc                
• Address: 7950 Legacy Drive, Ste 250, Plano, TX 75024 Dallas 
• Phone: 866-345-7638

20. Serokell

Serokell offers natural language processing (NLP) services that focus on extracting meaning and structure from text and speech. Their solutions are built using deep learning models and computational linguistics to enable tasks like text classification, speech recognition, and sentiment analysis. The company takes a tailored approach to each project, adapting its NLP tools to specific industry and client needs.

Their services include topic analysis, text summarization, content categorization, and entity recognition. They also build NLP-based systems for customer service automation using chatbots and voice assistants. With expertise in Python and libraries like NLTK, TextBlob, and CoreNLP, they develop custom solutions backed by CNNs, RNNs, and other neural network architectures.

Key Highlights:

• Uses a range of deep learning models for NLP applications
• Applies active learning techniques to improve NER performance
• Focuses on building custom NLP tools aligned with business goals
• Experience in scientific, customer service, and marketing applications

Services:

• Text Summarization and Generalization
• Topic Detection and Classification
• Named Entity Recognition
• Text Transcription from Speech
• Content Categorization and Tagging
• Sentiment Analysis
• Speech Recognition
• NLP-Based Chatbot and Assistant Development

Contact and Social Media Information:

• Website: serokell.io
• Email: hi@serokell.io
• Facebook: www.facebook.com/serokell.io
• LinkedIn: www.linkedin.com/company/serokell
• Twitter: x.com/serokell
• Address: Pille tn. 11/1-32, Kesklinna linnaosa, Tallinn, Harju maakond, 10138, Estonia
• Phone: (+372) 699-1531

Conclusion

As the healthcare industry continues to evolve, Natural Language Processing (NLP) has become a critical tool for transforming unstructured medical data into actionable insights. NLP companies in healthcare are enabling providers, insurers, and researchers to streamline documentation, enhance clinical decision-making, and improve patient outcomes through intelligent language-based technologies.

These companies typically combine deep domain knowledge with advanced AI capabilities to deliver solutions such as automated medical transcription, clinical coding, patient sentiment analysis, and predictive analytics. By integrating NLP into existing healthcare workflows, they help reduce administrative burden, identify risks earlier, and support evidence-based practices.

Choosing the right NLP partner allows healthcare organizations to harness the full potential of their data, improve operational efficiency, and drive better care delivery. With the rapid growth of digital health data, working with specialized NLP companies is becoming essential for those aiming to stay ahead in an increasingly data-driven and patient-centered healthcare environment.