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Peroptyx

Peroptyx provides location-based machine learning training data and model evaluation solutions, utilizing authenticated ground truth data to enhance the accuracy of AI applications. The platform addresses the need for reliable data to improve model performance and local relevance across diverse geographic areas.

Castlebar, IrelandFounded 201841530K+ followers
Updated 4 months ago

Funding

$4.9M 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

Many AI applications relying on location-based data suffer from inaccuracies and lack of local relevance, leading to poor user experiences and unreliable model outputs in specific geographic areas. Existing training data often fails to capture the nuances of diverse locales, hindering the performance of AI models in real-world scenarios.

Solution

Peroptyx provides location-based machine learning training data and model evaluation solutions designed to enhance the accuracy and local relevance of AI applications. The platform utilizes authenticated ground truth data collected from a global network of domain-certified evaluators to train, test, and validate model outputs. By leveraging this high-fidelity, location-specific data, Peroptyx enables businesses to improve the performance of their AI models, ensuring they deliver accurate and relevant experiences for users in diverse geographic areas. The platform offers seamless scalability and is ISO/SOC-2 certified, ensuring data quality and security.

Target Audience

The primary target audience includes businesses and organizations that develop and deploy location-based AI applications and services, such as mapping platforms, navigation systems, content recommendation engines, and local search providers.

Features

  • Authenticated ground truth data collected from a global community of domain-certified evaluators.
  • Data Quality Authenticated® methodology to transform the quality and consistency of model training data.
  • Model evaluation services to continuously assess and improve the performance of AI models in specific locations.
  • Support for over 1,600 towns and cities across 26 countries.
  • ISO/IEC 27001:2013 and SOC-2 certifications for data security and compliance.
  • Seamless scalability without complicated integrations.
This profile is AI-generated and may contain inaccuracies.