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GoScience DataHub
Technical Overview

Intelligent Data Infrastructure
for Modern Laboratories

The GoScience DataHub is the middleware layer that connects your entire laboratory ecosystem, enabling seamless data flow from IoT devices directly to AI-powered insights.

What is the DataHub?

Think of the DataHub as the "central nervous system" of your lab. It solves the problem of fragmented data by acting as a universal translator between your equipment, software platforms, and analysis tools.

Instead of manually moving files between systems or building custom connections for every new device, the DataHub provides a standardized architecture. It automatically collects raw data, harmonizes it into a consistent format, and prepares it for immediate use in machine learning models or analytics dashboards.

Key Capabilities

  • Connects heterogeneous IoT devices & LIMS
  • Harmonizes data into a single standard format
  • Automates data cleaning and validation
  • Feeds prepared data directly to AI/ML models
  • Enables real-time analytics in Power BI/Databricks

System Architecture

How data flows from the physical world to digital insights through the DataHub.

DataHub Architecture Diagram

Input

IoT Devices, Sensors, LIMS

Process

DataHub Middleware

Intelligence

ML Models & AI Engine

Output

Analytics & Insights

Built-in Intelligence

Machine Learning
Automated model training and versioning. The system learns from your data to improve accuracy over time without manual intervention.
AI Analytics
Predictive maintenance for equipment and anomaly detection in experimental results, powered by advanced AI algorithms.
Forecasting
Time-series analysis to predict reagent consumption and experiment outcomes, optimizing resource allocation.

Ready to integrate?

Contact our technical team to discuss how DataHub can fit into your specific laboratory infrastructure.

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