Suppliers > United States > NLP Logix

NLP Logix

NLP Logix Logo
HQ Location
United States
Year Founded
Company Type
< $10m
11 - 50
Twitter Handle
Company Description
NLP Logix is an advanced analytics and Machine Learning data product and services company, which has grown from a vision in 2011 to one of the fastest growing teams of deep learning practitioners. NLP Logix is an experienced team of data scientists who are capable of taking large and disparate data sources and returning actionable and valuable information in a fraction of the time compared to traditional techniques.
IoT Solutions
The company was started by three professionals who worked together at a medical services company developing and applying predictive models and advanced analytics into its workflows. When the founders started NLP Logix, they began competing in international Data Science contests hosted by…and started winning.

The founders knew that developing algorithms through Machine Learning was only one piece of the solution, so they began to focus on the practical application of integrating the learned models into a customers’ workflow to deliver the most value at the point where decisions were being made. That business model lives today.

NLP Logix's Capabilities include: predictive modeling, forecasting, data visualization, sentiment analysis, neural networks, behavior modeling, statistical modeling, optimization, business analytics


Machine Learning – NLP Logix has proven on the international stage that its team of ML professionals are in the top 1%

Statisticians – Our team of statisticians deliver the interpretations that business leaders need to take data-driven action

Business Intelligence – Our engineers are experts in shaping, merging and visualizing large, disparate data sets
IoT Snapshot
NLP Logix is a provider of Industrial IoT analytics and modeling technologies, and also active in the finance and insurance, and healthcare and hospitals industries.
Technology Stack
NLP Logix’s Technology Stack maps NLP Logix’s participation in the analytics and modeling IoT Technology stack.
  • Devices Layer
  • Robots
  • Edge Layer
  • Automation & Control
    Processors & Edge Intelligence
  • Cloud Layer
  • Platform as a Service (PaaS)
    Infrastructure as a Service (IaaS)
  • Application Layer
  • Functional Applications
  • Supporting Technologies
  • Analytics & Modeling
  • Application Infrastructure & Middleware
  • Cybersecurity & Privacy
  • Networks & Connectivity
Technological Capability:

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