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What we do?
Analytics
We analyze. We predict. We optimize. With us, your data gives you meaningful information and actionable insights.
Contextual Dashboard
Unlike us humans, businesses are functioning round the clock - a customer might be interacting with them, a fierce competitor trying to understand the secret sauce, a vendor burning the midnight oil. In order to keep you ahead of the curve, we bring you insights crucial to your business in the form of contextual dashboards. Whether you are an online business or a manufacturing company, we extract key metrics from different processes and churn all that data to produce meaningful information that can help you improve your bottom line
Data Integration
Data Quality
Data Wrangling
Data Management
Data Warehousing
Predictive Analytics
We leverage historical data to give businesses an added advantage. How? We use an organization's past and current data to reliably forecast trends and behaviors milliseconds, days, or years into the future, with a significant degree of precision. We utilize a wide range of methods and technologies, including big data, data mining, statistical modeling, machine learning, and assorted mathematical operations to sift through historical and current data to detect trends and forecast events and conditions that can occur at a specific time, based on the parameters provided. This enables organizations to assess the promise or risk under a certain set of conditions, thus paving the way for informed decision making across various categories of business operations
Customer Lifetime Value Model
Customer Segmentation Model
Predictive Maintenance Model
Quality Assurance Model
Sales Forecast Model
Machine Learning
Most businesses operate with several complex constraints ranging from a variety of systems/ machines/ processes involved, supply and demand, availability of resources, and many more. We work with organizations to untangle these challenges. We leverage advanced mathematical algorithms to build models that uncover connections, enabling organizations to make better decisions without human intervention. Our methods have led businesses to solve problems that have stumped traditional analytical approaches, such as those involving new sources of unstructured data, including graphics, sound, videos, and other high-dimensional, machine-generated data
Supervised Learning
Unsupervised Learning
Semisupervised Learning
Reinforcement Learning
Natural Language Processing
Your customers may speak and write in English, Chinese, or Hindi. We bring advanced NLP methods that enable business communication in any language and scales other language-related tasks. We use different techniques, such as tokenization and parsing, lemmatization/stemming, part-of-speech tagging, language detection and identification of semantic relationships, for interpreting human language, ranging from statistical and machine learning methods to rules-based and algorithmic approaches. We use these broad arrays of approaches in order to enable a wide variety of practical applications. In short, we use NLP tasks to break down language into shorter, elemental pieces, try to understand relationships between the pieces and explore how the pieces work together to create meaning for your business
Content Categorization
Topic Discovery and Modeling
Contextual Extraction
Sentiment Analysis
Speech-to-text and text-to-speech conversion
Document Summarization
Machine Translation
