Empowering teams to build world-leading AI products.
The number of unique use cases for geospatial AI companies is increasing by the day and for the most precise output, you need airtight training data. No. of sectors such as Ride-sharing – Uber, Logistics, Farming, Infra, who use location & GIS are few prominent examples. Market statistics will help you understand the standings better.
Industry:
It is estimated that at least 80% of all data are geographic in nature, as the majority of information around us can be georeferenced. By this measure, 80% of the 2.5 exabytes of big data generated every day is geographic.
When users work on your solutions, they expect to get precise details that will help them accomplish their tasks. It could be planning a route to take on a freeway, looking for nearby places, hunting for properties, assessing weather conditions of a location or anything. No matter what they do, they need super-sharp results, which can stem only from consistent training using high-quality training data for geospatial projects.
That’s where we come in with our expertise and data network.
Satellite imagery plays a crucial role in sourcing quality and precise geospatial data for AI projects. Our impeccable network and airtight modus operandi ensure you get the most accurate, relevant, and updated training data for your training purposes for accurately training your AI model.
Geospatial data consists of several regular, irregular, and abnormal images and shapes. Annotating each element in datasets requires meticulous attention to detail and quality work hours. Our SMEs and data specialists go the extra mile in making sure every single pixel or byte of your data is annotated correctly.
Annotators plot points on each end or edge of an object, regardless of the shape or size in an image/video. In logistics, Geo.AI plugs the gap & gathers accurate location info that streamlines delivery.
Detect instances of static or moving objects within a frame (image or video), to detect and tracking objects. Ride-sharing companies through Geo AI can calculate the density of cars & their availability in a particular area.
Points are placed on specific parts within an image by expert annotators to help locate, distinguish or identify the objects and view the image in totality
Images are clubbed/segmented accurately into different components and then labeled to detect objects within a given frame.
Extract information within the region under study. Intelligence that can be extracted are geolocation, seasonal & temporal variations, etc.
Classify objects in an image based on custom taxonomies, including land, road, vehicles, residential property, etc.
Dedicated and trained teams:
Highest process efficiency is assured with:
The patented platform offers benefits:
Dedicated and trained teams:
Highest process efficiency is assured with:
The patented platform offers benefits:
Managed workforce for complete control, reliability & productivity
A powerful platform that supports different types of annotations
Minimum 95% accuracy ensured for superior quality
Global projects across 60+ countries
Enterprise-grade SLAs
Best-in-class real-life driving data sets
Tell us how our expertise & experience can help you launch your AI project. We are listening
