NLP Consulting and Text Analysis

data strategy . nlp and machine learning . generative ai

Knowledge extraction from unstructured data and document curation using NLP models.


Uncover insights by applying natural language processing (NLP)
to human language in documents and unstructured text

  • Develop AI solutions – Tag documents for search, research, and richer knowledge extraction

  • Quantify issues: – Track the incidence rate of identified concepts using NLP

  • Find features and patterns – Use text mining to explore unstructured text data, and use the findings to create predictive models

client success snapshots

NLP Consulting and Text Mining Use Cases

Work Orders, Computerized Maintenance Management Systems, and Other Internal Documentation

You may never thought of your company’s internal documentation as a source of data for analysis. However, NLP can help automate the processing of these documents for insights, anomaly detection, and operational efficiency.

Work orders often contain valuable, but unstructured text data that can be analyzed using Natural Language Processing (NLP). What can you learn from work orders?

  • Automated Categorization: NLP can help automatically classify or categorize work orders based on the description of the problem or request. This can help route the work order to the right team or personnel, improving efficiency.
  • Trend Analysis: By analyzing the language used in work orders, NLP can help identify trends, root causes, or recurring problems, assisting in problem-solving and decision-making.
  • Predictive Maintenance: By processing work order data alongside other sources of information, NLP can help detect patterns that predict future maintenance needs, enabling preventive action.
  • Anomaly Detection: By understanding the normal language pattern of work orders, NLP can flag unusual or suspicious requests for further investigation.

In the era of Industry 4.0, operating and equipment logs are increasingly being automated and digitized, allowing for real-time monitoring and analysis, predictive maintenance, and more efficient operations.

  • Proven track record of successful deployment of NLP and machine learning
  • Expertise in NLP techniques such as fact extraction, named entity recognition, topic modeling, sentiment analysis, and text summarization
  • Leverages algorithms for deep learning and machine learning, including neural networks and large language models (LLM)
  • Smoothly transition from Proof of Concept (POC) to NLP project deployment
  • Efficiency and scalability in data analysis, allows for faster decision making and more informed decisions
  • We help you stand up an in-house AI organization and shepherd your team to independence
  • Increase efficiency of manually-intensive business processes
  • Gain actionable insights from large amounts of unstructured text data
  • Extract data from documents, email, and narrative reports