Image Annotation company with a complete solution on AI data training and Geospatial Analysis for AI
Trained Teams
Our annotation teams are remote. Trained and recruited through our partnerships in the Middle East. With gamification and communication channels they deliver fast quality annotation
Image Annotation Tool
Custom mobile accessible annotation tool allowing high precision when drawing polygons and bounding boxes, optimized for pixel-level semantic image segmentation
Data Management Platform
Data Management Platform and API are used by clients to systematically upload imagery, monitor results and optimize the training, testing and validation cycles in machine learning
Why TaQadam?
TaQadam is a complete solution for machine learning engineers. Our image annotation tools and processes were developed in a continuous iteration, while annotating more than two million images. We mastered precision, quality control process, and customized output design.
Above all, our annotation teams developed expertise the projects with street view and security cameras, satellite and drone imagery, robotics and autonomous driving.
We offer on-demand pricing model allowing customers to optimize data training cycle to their needs. This way our offer fit to all clients from AI startups to large technology providers.
Our Story
“Taqadam” means “progress” in Arabic. Our story starts with an unmatched business need in data training for AI and massive youth unemployment in the Middle East.
Vision
Our Vision is to be the affordable and innovative image annotation company. We aspire to provide a complete solution in training computer vision models, with easy to customize tools for a start up and for a large research project.
Mission
Our Mission is to champion AI and Future of Work movement. We aspire to build the fast growing network of youth teams globally with the partners. And, hence, extend the economic opportunities and bring dignified living.
Our Partners
Participated at C5 Accelerate in Washington DC in 2018
Supported with innovative ideas of Peacetech lab
Member and winner of 2018 challenge in employment
