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Nanopath Technologies Limited - Spidfier

The startup develops DNA sequencing technology that utilizes machine learning to identify fish species, detect their origin, and analyze the presence of pathogens, bacteria, and parasites. This technology enables seafood purchasers to assess fish quality and freshness with precision and transparency, addressing concerns related to food safety and authenticity.

Hong Kong, Hong KongFounded 2019450+ followers
Updated 3 months ago

Funding

$300K 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

Founder details are not available yet.

Product

Problem

Seafood mislabeling is a widespread issue, resulting in significant financial losses for consumers and creating challenges for food safety inspectors. Inaccurate labeling also undermines efforts to promote sustainable fishing practices by obscuring reliable data on harvested seafood.

Solution

Spidfier offers a compact, lab-in-a-box solution for rapid and accurate fish identification and quality assessment. Utilizing DNA sequencing and machine learning algorithms, the platform compares sample DNA against a comprehensive database to identify species with 99.7% accuracy. In addition to species identification, Spidfier determines fish origin by analyzing epigenetic changes, assesses freshness by measuring the time a sample has been unfrozen, detects the presence of pathogens, and identifies evidence of short weighting through eukaryotic DNA copy number analysis. Results are delivered via the cloud within 30 minutes, enabling on-site testing and immediate insights.

Target Audience

The primary target audience includes seafood purchasers, food safety inspectors, and organizations committed to sustainable fishing who require rapid, accurate, and comprehensive fish identification and quality assessment.

Features

  • DNA-based fish species identification with 99.7% accuracy
  • Determination of fish origin through epigenetic analysis and machine learning
  • Assessment of fish freshness by measuring time since sample was unfrozen
  • Detection of bacteria, viruses, and parasites present in the sample
  • Identification of short weighting through eukaryotic DNA copy number analysis
  • Compact, portable lab-in-a-box design for on-site testing
  • Cloud-based results delivery to any connected device within 30 minutes
  • Prepackaged reagents for easy operation, eliminating the need for specialized lab technicians
This profile is AI-generated and may contain inaccuracies.