Data Science

At NXTKey, we believe one of the biggest challenges for the industry and government is subject of Authoritative Data. Authoritative Data as a subject involves a multitude of disciplines and skillsets which include Cyber (Data) Security, Machine Learning, Artificial Intelligence (AI), Robotics Process Automation (RPA), and advanced statistical decision science.

The end goal of AI is to deliver analytics that support improvements to operating efficiency and effectiveness, strategic decision-making, and business processes improvements. This will not be possible without the ensuring that Authoritative Data is being used for policy research, projects, initiatives, and deep dives.

AI + Authoritative Data = Decision Automation

We leverage experienced data scientists and methodologies to implement advanced models and algorithms that separate the signals from the noise, discover patterns in the data, and provide predictive insights.

Our data reference architecture is designed to maximize the full potential of a customers / agency’s vast data assets, analytical tools and techniques that can support the internal and external analytics for current and future business model and to help accelerate data driven decision making.

Notional Data Reference Architecture

Predictive Analysis

Predictive analytics collates advanced analytics capabilities covering ad-hoc statistical analysis, data mining, predictive modelling, optimization, text analytics, real-time scoring, and machine learning. Our core lies in identifying patterns in data and forecasting. We use predictive analytics based on statistical algorithms, data, and ML to determine the possibility of future business outcomes as:

• Prediction of business-related trends and actions

• Identification of business-critical risks

Deep Learning

Deep Learning enables organizations to tap into the potential of unstructured data including images, text and other data formats to come up with innovative use cases that deploy AI, automatic translation, image interpretation, natural language processing among others. The

AI development team creates Artificial Neural Networks (ANN) and uses DL techniques to propel our client company’s output.

Our Expertise lies in:

  • Data Cleansing, Normalization and Extraction
  • Clustering
  • Anomaly Detection
  • Computer Vision & Image Processing
  • Time Series Forecasting & CNN
  • Recommendation Systems
  • ANN
Natural Language Processing

We facilitate the labeling, creation, and validation of domain-specific text data. Our Areas of NLP applications:

  • Sentiment Analysis
  • Named Entity Recognition
  • Intent Classification
  • Utterance Collection
  • Optical Character Recognition and Transcription
  • Information Extraction for NLP
  • Relevance Scoring
  • Text Categorization

Digital Twin

In addition, NXTKey is working to help organizations navigate the “Digital Twin” methodology and related solutions. Digital twin refers to a digital replica of physical assets (physical twin), processes, people, places, systems and devices that can be used for various purpose. Basically – Integrate internet of things, artificial intelligence, machine learning and software analytics.

Digital Twin Build Components

To help you apply advanced decision science within your business, contact us.


Advisory services based on proven, repeatable methodologies that provide vendor-agnostic solutions and implementation roadmaps.

We help you define an Authoritative Data strategy and select appropriate technologies and solutions based on your requirements and budget. We also ensure it complements your existing data investments.


We deliver effective, highly scalable, high performance Data analytics applications. Reduce your risk, implementation time and cost.

Our team of specialists partner with you to design proof-of-concept (POC) prototypes utilizing Data technologies. On successful validation of the POC, we help you to scale and deploy your Data solution to a production-grade implementation.