The rapidly evolving Internet-of-Things (IoT) ecosystem has become a prime area of interest for emerging pharmaceutical and healthcare technology firms. The availability of low-cost ARM-based portable computing devices coupled with high-speed networks for information exchange has revolutionized the IoT sector.

At the core of most high-performance RxDataScience applications is a low-latency streaming NoSQL database with low-level hardware interfaces developed with the specific aim of optimizing the process of analyzing data. By leveraging the NoSQL layer, RxDataScience can process data from scores of smart devices with sub-second latency.

Capable of ingesting up to 50 TB of data, the platform can provide real-time analysis on critical scientific measurements. The platform is available as an on-demand SaaS application so that organizations can scale up without high upfront investments. Further, built-in advanced compression and a low-latency columnar data storage combined with a sophisticated cloud architecture enables querying vast amounts of both real-time and historic data on a single unified interface.

The standard workflow for data processing involves:

  • Data is collected at the edge and can be processed in real-time
  • Multiple parsers process and transmit data to central data collection hub
  • Data enriched using other static data in real-time in-flight
  • Machine learning algorithms applied for real-time predictive analytics
  • Low-Code App Builder Platform provides real-time and fast visualization of high-dimensional data

Key Features

  • Global Data Collection Grid Architecture
  • Analytics on the edge support
  • Low-Latency Connectivity (Dedicated/Shared)
  • On-Premises Data Analysis/Transfer to RxDS Cloud
  • Supports 100s of millions of messages per second
  • Real-time Machine Learning to make real-time predictions
  • Real-time BI Tool connectivity for self-updating charts
  • Secure, Reliable Enterprise Environment
  • Extensive support for connected devices, IoT, and advanced sensor analytics
  • Connects natively with R, Python, and other languages for AI and Machine Learning



Industry 4.0 (e.g. IoT and sensors) is providing a unique opportunity to connect and get real time insights from the execution level including manufacturing, quality, and logistics.

Use Case
 - Combining Static Data & Streaming Data from Wearable, Connected Devices in a unified platform to perform real-time predictive analytics & prevent adverse events proactively

What Others Are Saying

“RxDataScience’s customer service focus in just fantastic.  They are incredibly responsive to requests, and, in the rare instance an issue arises, the team is very proactive about communicating resolution timelines.  I have worked in the industry for 20+ years and my experience with RxDataScience has ranked among my top data & analytics vendor experiences.”

Senior Director, Market Insight

Global Pharma Company

“The RxDataScience team brings agility, advanced capabilities and technology we simply cannot get from the other top consulting firms.”

Chief Data Officer

Top 10 Pharma

“RxDataScience has set the bar very high for other vendors to catch up.”

Head of Clinical Analytics Enablement

Top 10 Pharma Company

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