About Wezom

WEZOM – Customized Software Solutions For Businesses Of All Sizes, From Startups To Enterprises. Wezom is your one-stop software development company, offering various industry services. We drive your business progress with smart tech decisions tailored to a specific field. Our mission is to provide software solutions that meet our clients' needs and expectations.

For over 25 years, Wezom has been a reliable IT partner for SMBs that operates with integrity, transparency, and punctuality. We have been developing custom software for medium-sized businesses and corporations. We specialize in Logistics, Oil and Gas, Real Estate, Fintech, eCommerce, Healthcare, Energy and Utilities, Agriculture, and Education industries.

Locations

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Headquarter
  • Location

    1821 Walden Office Square Suite 406 Schaumburg Illinois Chicago Illinois United States 60173

  • Location

    +18722253073

Focus Area

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Wezom's Technical Expertise

Java 34%
PHP 33%
.NET 33%

Focus Client

  • Small Business (<$100000) 50%
  • Medium Business ($100001 - $500000) 30%
  • Large Business (>$500000) 20%

Wezom's Industry Expertise

  • Transportation & Logistics 20%
  • Oil & Energy 20%
  • Healthcare & Medical 10%
  • Real Estate 10%
  • Ecommerce 10%
  • Education 5%
  • Financial & Payments 5%
  • Utilities 5%
  • Retail 5%
  • Banking 5%
  • Agriculture 5%

Portfolio

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AeroIntel AI: Analytical software solution for UAV operators

A government defense agency approached WEZOM to automate the analysis of aerial reconnaissance images. Manual identification of strategic objects took days and limited decision-making speed. The goal was to build an AI-powered solution to detect and classify key military and infrastructure objects in satellite and drone imagery. Objective Develop a high-performance object detection system using computer vision to analyze large datasets, reduce manual labor, and enable near real-time classification of critical objects like aircraft, refineries, ports, and military vehicles. Our Approach Model Architecture: Built on YOLOv8 and PyTorch, with transfer learning using the DOTA dataset for remote sensing. We adapted the model for specific target classes and enabled support for oriented bounding boxes (OBB) to recognize objects at angles. Processing Pipeline: Implemented batch inference with FastAPI for real-time access. OpenCV handled image preprocessing and visualization, while results were stored in PostgreSQL and formatted in JSON for integration with GIS and dashboards. Accuracy & Speed: The model achieved mAP@0.5 = 80%, precision = 0.82, and recall = 0.80. Inference speed was ~0.3s per image, allowing scalable analysis of thousands of images with over 200,000 labeled objects. Results The solution automated aerial image analysis, minimized human error, and allowed integration with defense and intelligence systems. It supports active learning, is ready for new object classes, and can be scaled to GPU clusters for high-volume processing. Next Steps  Ongoing work includes active learning integration, GIS platform connectivity, and expansion of object categories to adapt to dynamic reconnaissance needs in both civilian and military scenarios. Read More

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Industry

Transportation & Logistics

budget image

Budget

$100001 to $500000 USD

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Timeline

7 weeks

AeroIntel AI: Analytical software solution for UAV operators

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