We take pride in being the One Stop AI Shop ®

We go beyond traditional statistics and computer programming and extract actionable insights from data. For this, we use all type of input data - text, image, video, audio and structured data emanating through varied sources emails, phone calls, handwriting, printed material, social media, manufacturing and many other data type. Our deep learning algorithms extract valuable information and drive real value for our customers and improves efficiency

Our Automatic Signature Detection and Matching is being developed under our TextSense ™ Umbrella

AlgoAnalytics is the AI Partner of NTT Data and NTT Data Intellilink

Check out Our Demos and Apps for solutions we offer across domains

BFSI
Banking And Financial Services
Our predictive analytics solutions include churn, segmentation, Recommender System, credit score, fraud detection and others. Analytics enables banks and other financial companies to leverage huge past data to get customer insights and improve revenue and profitability.
BFSI
Retail & Ecommerce Services
Retailers, today are facing a very competitive environment and customer intelligence, merchandizing, marketing and supply chain logistics have become the keys to success. Our advanced analytics solutions use deep learning to help on line as well as off line retailers unleash power of data.
Healthcare Services
Automating certain healthcare processes can improve productivity, reduce time bound activities, and improve patient care services. Additionally, the use of AI/ML techniques on healthcare data (text, image, and numerical), can generate actionable insights and augment healthcare providers to personalize patient care.
Legal
Practice of law produces humungous amount of data. Lawyers must go through the vast amount of legal information and evaluate the findings. We use techniques like Natural Language processing to generate actionalble insights.
Initiatives
Affiliated Companies
TextSense
TextSense ™
TextSense™ - the NLP platform with text services to build business solutions. The "text will make more sense" with TextSense™ and enable businesses to extract insights, automate processes, and augment interactions.
Latest Posts
Detecting Small Objects from Images/Videos using AI

Object detection is a technique related to Computer Vision and image processing that deals with detecting instances of semantic objects of a certain class (such as humans, buildings, or cars) in digital images and videos. Small objects detection is a challenging task in computer vision due to its limited resolution and information. In this article we explore Feature Pyramid Networks for small object detection and Super Resolution GANs for data augmentation and performance improvements.

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Harnessing A.I. for early screening of tobacco related oral cancers

Tobacco usage in India is one of the largest causes of oral cancer and a few other diseases. Catching these diseases early can save millions of lives. AI can help in early screening and detection. This blog by our CEO Aniruddha Pant, CSO Sharda Bapat and Dr Sudhanshu Patwardhan explains how this is done.

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Obstacle Detection on Road Using Deep Learning

Obstacle Detection on the road is an important problem and is one of the critical topics of research in Computer Vision and Deep learning. It is helpful for problems such as image annotation, pedestrian detection, face detection and various surveillance objectives. It is also deemed to play a crucial role in implementing and deploying autonomous driving on our roads and city streets in the near future.

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Visualization Tools for Time-Series Data

Time series data, available in many domains such as manufacturing (IoT) data, healthcare (patient) data, stock prices, etc., are hard to interpret simply by looking at them as they may have a lot of hidden information in terms of data trends and patterns. Data visualization helps in finding such hidden information.

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Interview of Our CEO Dr. Aniruddha Pant

This interview was conducted by the members of the Data Science Community, India Chapter

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Amit Paranjape, Co-Chairperson, IT & ITES Committee, MCCIA In Conversation with Aniruddha Pant

In the Fourth Episode of MCCIA series, 'Decoding Artificial Intelligence with Industry leaders', this conversation sheds light on the applications of AI (Artificial Intelligence), Use of Data In Medical Imaging Analysis, Solving problems with AI and Data Science, Future of Healthcare Industry in terms of AI, Opportunities in AI and Machine Learning.Tune in to find out how DeepTek, our sister Company, is Using Artificial Intelligence to Analyse and Predict Symptoms of a Patient and How Data is being used for Research in the Healthcare Industry.

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Medical Term Extraction from Electronic Health Records (EHR)

Scientific research in the medical domain has a rich literature comprising millions of health records, clinical letters, research papers, etc. However, due to their unstructured nature, applications such as an entity extractor can help researchers and medical professionals to extract valuable information and further process them to some structured format.

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Capsule Networks: Basic Principles and Benefits

The 2017 idea of Dynamic Routing via Capsules, proposed by Geoffrey Hinton seems to be garnering the attention of researchers all over the world. Stated to be the next big thing in Computer Vision, find out what they are, how they work and deep dive into a simple yet useful application of the same.

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Entity Typing and Relation Classification for Knowledge Graph Building using ERNIE

Rich knowledge information in text can lead to better language understanding and accordingly benefits various knowledge-driven applications. To achieve this, see how ERNIE tackles two main challenges to incorporate external knowledge into language representation.

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Patient Knowledge Graph

Have you ever wondered how when you search for something or someone in Google search engine you see relevant stories, Wikipedia and images etc. How is all this information identified and displayed correctly? That's the "Knowledge Graph" at work.

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Streaming Big Data Analytics

Processing high volumes of streaming data is a challenge, and it requires advanced BigData capabilities to manage these challenges and derive insights from this data. At , we have developed a powerful tool that ingests real-time streaming data feeds (for example from IoT devices) to enable visualization and analytics for quicker business decisions.

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Enterprise Search Engine with Big Data and Deep Learning

Wouldn't it be a great advantage if Enterprise Search Engines could search through not only the text data but also through images and speech data quickly? In order to achieve this, big data technologies can be combined with machine learning capabilities and boost search efficiency. Such Enterprise Search Engine will save both time and efforts on data search.

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Deep Learning using Quantum Annealers

Using D-Wave’s Quantum Annealer for pre-training of Deep Neural Networks

Despite the relentless pace of progress in computer architectures and the exponential growth in computational powers over the last few decades, there are still many problems that today’s computers can not solve. Some of these problems await the next generation of semiconductors to solve them. Others will likely remain beyond the reach of classical computers forever. The prospect of finally finding a solution to these “classically intractable” problems is setting people abuzz at the dawn of the era of Quantum Computing.

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