We enable machines to leverage the obtained data for self-learning and decision-making. We develop business applications to enable faster and informed decision making.
Our deep learning process makes use of big neural networks with multiple layers of processing systems, taking advantage of improvements in computing energy.
Improving customer experience and giving extended support through AI-enabled Digital Virtual Agents who understand and explain human behavior.
How We can Help you with AI Data Tagging
To deliver the most valuable platform and toolset for companies utilizing A.I. to scale their businesses and change the world.
For object detection and localization in images and videos. Significantly used for object localization for self-driving cars, object detection for e-commerce, damage detection for insurance, drone and robot training, etc.
For pixel level scene understanding. Highly useful in autonomous vehicles and safety surveillance cameras, where information of every pixel is crucial and may affect the accuracy of the perception model.
Define pixel coordinate and polylines for precision training Autonomous Driving model. Lane detection for self-driving cars. Well-defined various kinds of lanes for ego car, bicycle, divergence, opposite direction traffic, etc.
For 3D perception from 2D images and videos.Used for training computer vision models for spatial cognition from 2D images or videos.
For precise object shape detection and localization in images and videos.Used to best estimate the shape of objects captured from distant cameras.
Manual image annotation is the process of manually defining regions in an image and creating a textual description of those regions.