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Extrasense Tech

Extrasense is an integrated pest management platform that utilizes IoT sensors and AI-driven machine learning to provide real-time monitoring and data analysis for pest detection across various environments. By offering tailored pest management plans and intelligent alerts, the platform helps reduce unnecessary treatments and optimize resource allocation for pest control professionals.

Boston, United StatesFounded 20195100+ followers
Updated 4 months ago

Funding

$2.4M 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

Traditional pest control methods often rely on scheduled treatments and manual inspections, leading to unnecessary pesticide use and inefficient resource allocation. The lack of real-time monitoring and data-driven insights makes it difficult to proactively address pest infestations and optimize pest management strategies.

Solution

Extrasense offers an integrated pest management platform that leverages IoT sensors and AI-driven machine learning to provide real-time pest detection and monitoring. The system combines a user-friendly interface with sensor technology to enable 24/7 monitoring, automated tracking, and intelligent alerts based on pest species. By analyzing data and trends, the platform helps pest control professionals optimize their operations, reduce unnecessary treatments, and improve resource allocation. The AI technology employs machine learning models trained on thousands of images captured in the field, achieving high accuracy in identifying over 45 pest species, with ongoing review by expert entomologists.

Target Audience

The primary target audience includes pest control professionals, real estate managers, food facilities, and pest trap vendors seeking to improve pest management effectiveness and reduce operational costs.

Features

  • 24/7 real-time monitoring of pest activity using IoT sensors
  • AI-driven machine learning model for automated pest identification with over 90% accuracy across 45+ species
  • User-friendly interface for accessing real-time data and trends
  • Customizable alerts based on specific pest species and threshold levels
  • Data analysis and trend identification to optimize pest management strategies
  • Remote monitoring capabilities, reducing the need for frequent on-site inspections
  • Integration with existing pest control systems and workflows
  • API access for pest trap vendors to offer smart devices to their clients
This profile is AI-generated and may contain inaccuracies.