Anolytics Redesigns Its Website

After many months of rigorous work and commitment on the side of our team at Anolytics, we finally finished redesigning the website.

Online PR News – 25-August-2022 – New York, USA – We are happy to announce the introduction of our redesigned website after many months of arduous labor and dedication on the part of our team at Anolytics.

Our main objective in the redesign process was to produce a resource that would be more beneficial, user-centric, and responsive on all platforms and devices.

We wanted to concentrate on explicitly making it more straightforward for our users to understand and find helpful information about our technology solutions for their specific application or industry, both at their desks and on mobile devices.

Apart from this, our company, a well-known supplier of data annotation and labeling services, recently added medical data annotation and product categorization to broaden the scope of its service offerings.

The main objective of the medical annotation service is to provide machine-readable annotated versions of radiological images, including X-rays, MRIs, CT scans, and other images.

At the same time, for product categorization, we have established a center of natural language processing (NLP) and subject matter experts to deliver high-end product classification services tailored to business/client/project requirements.
We sincerely hope you like our new appearance! Please get in touch with us if you have any queries or comments.

About Anolytics

As a full-stack workforce solution provider, Anolytics has been hailed as one of the top AI training data developers with a knack for data annotation, labeling, and natural language processing (NLP). The AI development lifecycle needs the AI training data for teaching machine learning models, computer vision systems, and AI algorithms the necessary automation inputs.

Anolytics specializes in developing high-quality AI training data through sorting, filtering, and segmenting raw datasets, i.e., unstructured images, videos, texts, and audio data.