Prepare images and videos for data annotation and model training using ADVIT platform. Data pre-processing plugins help you optimise the data automatically and prepare it for each phase of the computer vision pipeline.
Our automated data labelling solution can be combined with an existing data pipeline for businesses. Our white-labeled Annotation platform at the enterprise level has proven to be extremely useful in streamlining data pipelines in-house.
With ADVIT’s unified architecture, Deep Learning models can be optimised for accuracy before being added in the model serving pipeline for real-time inference.
Custom DL models can be integrated & visualized on run-time to create the most accurate model for your data using our model integration API. ADVIT provides a completely scalable, end-to-end deep learning framework.
Frameworks Supported include:
The most advanced AI-assisted platform to create and manage high-quality training data all in one place.
ADVIT manages your structured and unstructured video/image/text datasets in runtime. Data management plugins allow you to perform automatic functions that refine your data in preparation for each step of the Deep Learning pipeline.
Increase your agricultural produce with AI-powered automated equipment, weather forecast, soil and plant health care, and pesticide optimization systems.
We specialize in AI and ML in manufacturing to manage data, improve production efficiency, and cut losses.
We design AI models to make cities truly smart by digitalizing the city administration, centralizing surveillance, and simplifying waste management.
We help your retail business go digital and use AI for efficient customer service, order management, feedback, and customer retention.
Centralize your banking activities like customer service, customer profile management, and personalized marketing activities with the help of AI.
Simplify your healthcare management services by automating patient data collection and management along with their insurance information and medical histories.