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Telenostic

The startup provides a point-of-care digital parasitology diagnostic platform that employs artificial intelligence to deliver real-time diagnostic information for equine parasites. This technology enables veterinarians to quickly identify and analyze parasitic infections, improving treatment outcomes and animal health.

Kilkenny, Ireland16300+ followers
Updated 2 months ago

Funding

$4.2M 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.

Funding rounds are not available yet.

Founders

Product

Problem

Traditional methods of fecal egg count (FEC) analysis for parasite detection in animals are time-consuming, labor-intensive, and prone to variability due to reliance on manual interpretation. Sending samples to external laboratories increases turnaround time and costs, delaying treatment decisions.

Solution

Telenostic provides the OvaCyte™ platform, a point-of-care digital parasitology diagnostic solution that automates fecal analysis using artificial intelligence. The system utilizes a proprietary consumable cassette for parasite egg recovery and retention, employing a novel geometric surface tension egg recovery (STER) method. Digital microscopy captures multiple images of the sample, which are then analyzed by AI-powered image recognition software to identify and count parasite species and eggs or oocysts present. This enables veterinarians and farmers to make rapid, informed treatment decisions based on accurate, real-time diagnostic information.

Target Audience

The primary target audience includes veterinarians and farmers seeking a rapid, accurate, and cost-effective method for diagnosing parasitic infections in animals, including equine, companion animals, bovine, ovine, caprine, and porcine species.

Features

  • Automated fecal egg count (FEC) analysis performed at the point of care, eliminating the need for external laboratories
  • Proprietary consumable cassette utilizing Surface Tension Egg Recovery (STER) for efficient parasite egg recovery and retention
  • AI-powered image recognition software for accurate identification and quantification of parasite species, helminth eggs, and protozoan oocysts
  • Digital microscopy captures multiple sample images for comprehensive analysis
  • Cloud-based platform providing geographical prevalence data based on aggregated user data
  • Results delivered directly to the device screen and a web application for seamless interpretation
  • Two-minute sample preparation process with no centrifuge required
  • Integration with a comprehensive image library containing over 700,000 images and 150,000 tagged parasites
This profile is AI-generated and may contain inaccuracies.