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Predikta

Predikta provides a non-invasive diagnostic platform that uses AI and high-accuracy thermography for rapid data acquisition and analysis. Its integrated system accelerates the creation of predictive models for health, agriculture, and engineering applications.

Updated 2 months ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Traditional diagnostic methods often require invasive procedures or specialized equipment, limiting accessibility and increasing turnaround times. This can delay critical interventions and hinder the development of predictive health and performance models across various sectors.

Solution

Predikta offers a non-invasive diagnostic platform that integrates artificial intelligence with high-accuracy thermography for rapid and precise data acquisition. The system comprises the PrediktaStation, a data collection unit featuring thermal sensors and calibrated imaging capabilities, and PrediktaDash, a cloud-based web application for data analysis and visualization. This integrated approach accelerates the creation and validation of predictive models, enabling data-driven insights for human and animal health, agriculture, and engineering applications. The platform is designed to streamline the entire workflow from data capture to actionable intelligence.

Target Audience

The primary target audience includes medical professionals, researchers, agricultural scientists, and engineers who require advanced, non-invasive diagnostic tools and predictive analytics capabilities.

Features

  • PrediktaStation: A comprehensive data collection unit including a thermal sensor (available in 160x120 or 320x240 pixel resolutions), a calibrator for thermal reference, and an all-in-one PC with Linux OS (i5, 8GB RAM).
  • PrediktaDash: A cloud-hosted web application for displaying, comparing, editing, analyzing, and storing thermal imaging data.
  • AI-powered predictive modeling: Utilizes scientifically validated machine learning models to derive diagnostic and predictive insights from thermal data.
  • Multi-spectral imaging support: Capable of capturing and processing various image types, including thermal and potentially other spectral data.
  • Integrated patient anamnesis and image sequencing: Facilitates structured data collection alongside thermal imaging.
  • Optional remote diagnostics and fleet management: Enables monitoring and maintenance of deployed hardware.
  • ANVISA registered hardware and software: Compliant with regulatory standards for medical devices.
  • Optional professional reporting service: Offers expert analysis and interpretation of collected data.
This profile is AI-generated and may contain inaccuracies.