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SomaDetect

SomaDetect utilizes light-scattering technology and deep learning algorithms to provide dairy farmers with real-time, in-line data on milk quality, cow health, and reproductive status during milking. This system enhances herd management by delivering actionable insights that improve milk production efficiency and animal welfare without increasing labor costs.

Thornhill, United KingdomFounded 2016171K+ followers
Updated 20 months ago

Funding

$19M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

GN
Funding rounds are not available yet.

Founders

Product

Problem

Dairy farmers lack real-time, comprehensive data on individual cow health, milk quality, and reproductive status during milking, hindering proactive herd management and efficient milk production. Traditional testing methods are often labor-intensive, time-delayed, and provide limited insights into individual animal variations.

Solution

SomaDetect provides an in-line milk analysis system that monitors every cow at each milking using light-scattering technology and deep learning algorithms. The system delivers real-time data on milk quality components, somatic cell count (SCC), reproductive status, and other key health indicators directly from the milking line. This enables farmers to make immediate, data-driven decisions to improve herd health, optimize milk production, and reduce operational costs without adding extra labor or disrupting milking processes. SomaDetect offers ongoing, trended insights into cow health and reproduction, empowering farmers to proactively manage their herds and enhance animal welfare.

Target Audience

SomaDetect targets dairy farmers seeking to improve herd health, optimize milk production, and reduce operational costs through real-time, data-driven insights.

Features

  • In-line sensor seamlessly integrates into existing milking systems without impacting labor or cow productivity.
  • Light-scattering technology accurately measures milk components, SCC, and reproductive hormones in real-time.
  • Deep learning algorithms analyze data to provide actionable insights into individual cow health and reproductive status.
  • Cloud-based platform delivers data and trended insights to farmers through a user-friendly interface.
  • Automated alerts notify farmers of potential health issues or reproductive events, enabling timely intervention.
  • Integration with farm management software allows for seamless data sharing and analysis.
This profile is AI-generated and may contain inaccuracies.