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Leveraging Data Science, NLP
& Machine Learning.


Employing Machine Learning & Artificial intelligence – We are one of a kind consultancy in the region , providing unique combination of well integrated Advanced Analytics and Market Research solutions.


Convert your unstructured data into actionable insights with NLP techniques.Our Natural Language Processing services cover a range of needs, from data acquisition and processing to content extraction, analytics, and question answering systems (or business chatbots).

Computer Vision


Automate your applications to recognize, capture and generate insights from images and videos by integrating with other systems like ERP and diagnostic software to detect anomalies, analyze medical images and identify people on social media etc. We tailor our computer vision services and solutions to your specific needs. 

Machine Learning


We help organizations in solving key business challenges, enabling data-driven decision making, and creating innovative business models. We create future-ready ML-powered applications by using techniques like pattern recognition, nature-inspired algorithms, and mathematical optimization. 

Multi-access Edge Computing


Putting processing power on the edge of the network rather than deep inside the internet for latency-sensitive applications like VR or gaming.

Unstructured Data Analytics.


Tapping into unstructured data—text, voice, audio, images, videos—to enhance enterprise insight discovery, analytics, and decision making.

Cloud Computing


Flexible, scalable, and cost-effective, cloud services have long been lauded as transformative, giving you the power to put resources where you need them, when you need do you decide what you need? What’s the best solution for your business?.


Data Discovery

Machine Learning

We translate the business problem at hand into data and identify the right data sources and fields. We sit with the BI and data teams and jointly define the extraction and load methods we can leverage to get access to the data.

Before building the model, we spend sufficient time on Data Discovery or running various discovery analyses to challenge or confirm initial hypothesis. We get to know the data, iteratively provide feedback and thus crystalize the case at hand of what we want to predict and how we can best do it. 

In this phase the actual modeling takes place. Our Data Scientists do feature definitions based on our disovery analyses and run and compare different 
predictive models, evaluate their performance, finetune and rerun. This is an iterative process where we iteratively communicate feedback and 
performance back to the client.

Our customers say about us

As a growing startup, we found Nlpbay Analytics' expertise to be invaluable in building a comprehensive and scalable data pipeline, warehousing, and analytics strategy.”

Enterprise AI:Data Analytics, Data Science and Machine Learning technologies and processes that enable enterprises to put AI to work to transform their businesses.!

Fine Tuning

The model needs to be relevant and actionable. Therefore, we set-up a fine-tune phase where we go, with the business, through the results and where possible even set-up a real-live test.Every Proof of Concept delivered by our team results in an actionable working process which can be leveraged for a set of weeks of months providing real added value.