Search
We have deep roots in Search.
- Text classification
- Personalization
- Actionable analytic
- Administering your search cluster
- writing a plugin that uses machine learning to enhance your search index
- simply scaling your search team
- We are preferred partners of Elastic.io
- We have solved interesting problems like scaling Elastic-search clusters across data centers and classifying over 20 million products using machine learning and Elastic-search.
Big Data & Analytics
- Data Stores
- Cassandra, MongoDB, Riak
- Middleware
- Kafka
- Search
- Elasticsearch, Solr
Deep and Machine Learning
- Image Classification and Recognition (CNN, f-CNN, R-CNN, U-Net)
- Fraud and Anomaly Detection
- Text Processing (RNN, word2vec, glove)
- Predictive Analytics (XGBoost)
- Models in Keras, TensorFlow, Caffe
- Parallelized computing on a GPU
Software Engineering
- Back-End Software Development (Java, GoLang, C#)
- Full Stack Software Development (ReactJS, AngularJS)
- Data Visualization (D3.js, R Shiny)
Infrastructure
- Cloud (AWS, Google Cloud)
- We are preferred partners of AWS
- Containerization (Docker, Ansible, Kubernetes, Kontena)
- Building and Running Spark/Cassandra Computational Clusters
- Infrastructure Maintenance and Optimization
Overview:
Companies are facing with the ever increasing volume of data from variety of sources with speed, and dealing with it meaningfully poses big opportunities and challenges. Developing insight from data is not only a challenge but a necessity to thrive in today’s business landscape. Only companies that can channelize the power of data to useful intelligence can stay ahead of the competition. Powerful search engines combined with sensible “Big data” architectures are becoming the model for successful upon which powerful business intelligence and analytic applications are built.
Search applications combined with powerful machine learning algorithms are driving a wide range of business applications like e-commerce search and analytics, enterprise search, fraud detection, behavioral analysis, log analytics, pattern recognition and business intelligence in many industries like e-commerce, finance services, insurance and media and entertainment. Companies are using the search applications to increase their revenue, save costs and increase customer/employee engagement and satisfaction.
“The fact is many companies do not yet fully know the game changing power of ‘search’ technologies or not fully harnessed its potential”