Data Science

We create everything that your enterprise needs from training data to working with unstructured text, images and videos for machine learning.

Data Science as a Service

Data Science is an integration of data interference, data manipulation, algorithm development, and technology in order to solve analytical and complex problems. If you are looking for AI or Data Science Consulting Companies, Webtunix AI is right decision for you. The core of any business is data or information which determines the insights of data which stored in the business databases. There is plenty of machine learning algorithms can be applied with the help of data science as a service.


Growth in output


Reduction in downtime for corrective actions


Enhancement in operational efficiency
information technology

Data Science as a Service for the Discovery of Data Insights

The Data Science as a Service is all about finding the hidden information from the data. Data Science Consulting Companies helps in finding the insights at the micro level and understanding the complex behaviour, trends, and inferences. It is all about finding the hidden information from the data. This helps the businesses to make smart decisions.

At Webtunix AI, we have dedicated resources that can fulfil your data annotation requirements for a range of data types be it images, text, voice or videos.

At Webtunix, a data science consulting company, we understand your business data, behaviour of user’s information, shopping data insights and make them useful for your business. The initial step of our data scientist team is to understand your business, business stats, data points, data features, attributes and start data exploration. They find out leads data and try to understand the pattern or characteristics within the data for make it useful for data science as a service. It requires a lot of data building creativity and analytical thinking.

Data Science as A Service – Development of data oriented product

A data-based product is a technical asset that utilizes the data as input and processes that data to return algorithmically generated results. The best example of data-oriented products are:

1. Amazon recommender engine to suggest the items for you to buy. This is determined by machine learning algorithms. In the same way Netflix recommends movies to you.

2. Gmail’s spam filter is a data product. There is an algorithm behind the scenes which determines that the incoming message is spam or not. Moreover, when you are trying to use Compose Mail, and start writing something, Then Gmail, predict some words, which you used in previous emails

3. Computer vision which is used in the self-driving cars is also a data-oriented product. The machine learning algorithms are also able to recognize the traffic lights, other cars on the roads and pedestrians etc.