Skip to main content
SS

Stream Sensing

Stream Sensing offers real-time industrial rheology measurements, providing continuous data on material flow and deformation. This enables manufacturers to monitor, optimize, and control their processes for improved efficiency and product quality.

Manchester, United KingdomFounded 20204200+ followers
Updated 4 months ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Product

Problem

Many manufacturing processes rely on offline rheology measurements, which provide delayed and intermittent data on material properties. This lack of real-time feedback hinders process optimization, increases waste, and can lead to inconsistent product quality.

Solution

Stream Sensing offers in-line rheometers that provide continuous, real-time data on material flow and deformation within industrial processes. By integrating directly into production lines, the sensors enable manufacturers to monitor key rheological parameters such as viscosity, elasticity, and yield stress as they evolve. This continuous data stream allows for immediate adjustments to process parameters, ensuring consistent product quality and minimizing material waste. The system provides actionable insights into material behavior, enabling data-driven process optimization and improved operational efficiency.

Target Audience

The primary customers are manufacturers in industries such as chemicals, food processing, pharmaceuticals, and polymers who require precise control over material properties during production.

Features

  • In-line rheometers for continuous measurement of viscosity, elasticity, and yield stress
  • Real-time data streaming for immediate process monitoring and control
  • Integration with existing process control systems via standard industrial protocols
  • Customizable alerts and alarms based on user-defined rheological thresholds
  • Data logging and analysis tools for process optimization and troubleshooting
This profile is AI-generated and may contain inaccuracies.