Welcome to Avyuct
Avyuct helps you data.
deeplearning

DEEP LEARNING

Deep Learning is a form of machine learning which improves with more data bigger models and more computer power. Deep learning can ingest different types of data to generate actionable results.

predictive

PREDICTIVE ANALYSIS

Analysis of this transactional and historical data could reveal opportunities and risk.We use our indigenously developed algorithms that ingest this data to extract and analyze data for your use.

recommender

RECOMMENDER SYSTEM

User interactions provide very valuable information about their preferences and habits. Using our analytics model we can make recommendations about what your users may like to purchase or view.

sentiment

SENTIMENT ANALYSIS

Presently data is being generated on various networks(social, personal, professional). This ocean of data can be sifted through by using our data analytics models to generate meaningful insights and feedback.

Avyuct! For all your data processing needs

We work with multiple data types to deliver enterprise class solutions

TEXT PROCESSING

Sentiment Analysis

Natural Language Processing

Text Analytics

COMPUTER VISION

Object Detection

Classification and Tagging

Face Recognition

AUDIO PROCESSING

Pattern Detection

Voice Recognition

Speech Synthesis

PREDICTIVE ANALYSIS

Anomaly Detection

Fraud Detection

Begin With Avyuct!

Avyuct is a core data analytics firm. It was incorporated in 2016 to help businesses and organizations make sense of all the data they have accumulated internally and externally over years during their operations. We can also help bring insight into their competitor’s operations by gathering and analyzing data from different public sources. We apply various data analytics techniques like predictive analysis, sentiment analysis, machine learning and other technologies to help extract data and analyze it. We then present it using various visualization tools.

Our leadership and team consists of data scientists and engineers. Together we bring a combined experience of over 30 years in IT consulting, Big Data Analytics, and IT Project Management.

We cater to all industries including Government, Entertainment & Media, Life Sciences and Healthcare, Information Technology, Banking, Finance, Securities and Insurance.

deeplearning

Deep
Learning

Deep Learning is a form of machine learning which improves with more data, bigger models and more computer power. Deep learning works on artificial neural networks inspired by the biological brain. These artificial neural networks have multiple layers which pass data amongst one another before producing the final output. The neural networks in Deep Learning are adaptive and they keep learning as more and more data is fed to them.

Some examples where Deep Learning networks can be implemented are Facial Recognition, Speech processing,  Recommendation Systems, Automatic interpretations of medical imaging or situations to aid diagnosis, Object detection, Instant visual translation. The possibilities are endless.

At Avyuct, we have the expertise to develop and train complex Deep Learning algorithms and help businesses make their operations more efficient.

Predictive
Analysis

A business generates huge amounts of data during its daily operations. Analysis of this transactional and historical data could reveal opportunities and risks. This knowledge is extremely beneficial in making informed business decisions.

We use our indigenously developed algorithms that ingest this data and apply statistical principles, machine learning and predictive analytics model to extract and analyze data for your use. We can also use your competitor’s data to get to a more accurate picture of you business.
Our algorithm for predictive modeling is not static. We keep adding intelligence to it to ensure continuous improvement in accuracy.

predictive
recommender

Recommender
System

When users browse the internet, they create footprints. These interactions provide very valuable information about their preferences and habits. We feed data to our analytics model and make recommendations about what your users may like to purchase or read. This is not limited to only online users. This can be implemented for offline users too.

This helps you provide a very targeted content to visitors of your website, and thus enable more time per page per user, more revisits, and eventually, more business.

Sentiment
Analysis

With the increase in Internet usage across the world, more and more data is being created on various networks (social, personal, professional etc). This ocean of data can be sifted through by using our data analytics models. We can deploy our statistical and machine learning algorithms to extract information on how a business is perceived. We can display how a product or a service is sensed by utilizing different visualization tools.

We read data from across various platforms. We then collate them and provide clear feedback to you within your areas of interests. You can use this information to help you make meaningful business decisions.

We have a free running model (with limited results) on our home page as an example of how sentiment analysis works. This model uses a restricted implementation of our sentiment analysis engine.

sentiment

We would like to hear from you

Avyuct

2832 Thistleberry Court
Herndon, VA 20171
USA