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Contextual Intelligence Solutions

We help our clients generate customer-centric insights by implementing contextual intelligence solutions and driving business outcomes.

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Generating actionable insights with intelligent solutions

Offering insights is one of our strengths, as we have in-depth domain expertise in verticals like Media and Entertainment, BFSI, and Technology. Our contextual intelligence services cater to multiple Fortune 500 clients, where we have assisted in data-driven decision-making by employing our analytical expertise and domain experience.  

While traditional intelligent systems deal with statistical and rule-based approaches to learning from the data, consumer sentiment analysis and large-scale neural network-based deep learning techniques are now emerging as the gold standard for developing sophisticated, intelligent systems. 

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What We Offer

  • Classification of a user-written review as positive or negative to summarize it as a rating provided for a product or service to enhance the user experience.
  • Automatic text summarization to represent a long text document concisely to pass the intended message for recruitment firms to identify and filter the potential candidates. 
  • The NER technique to identify the employer’s name based on the transaction text enables investment firms to suggest investment options based on the pay date and to auto-allocate funds based on the allocation setting without user intervention.
  • Building conversational AI applications that rely on NLP to understand user queries and generate a relevant response. For example, chatbots that help in answering FAQs or booking flights or online reservation systems based on user text.
  • We deep-dive into data and provide intelligence around insights that help businesses derive value, i.e., understanding who your target audience is, what could be profitable, and why and what attributes make your customers risky. 
  • ML-based allocation engine for micro-investment products to provide real-time, seamless, and data-driven allocations for the customers.
  • User profiling of customers to strategize marketing and product initiatives based on the profiles ensures cost savings for the businesses. 
  • We use the existing customer base to profile them based on their demographic, geographic, psychographic, and behavioral attributes to create customer personas, such as high- and low-profitable customers and high- and low-risk customers. 
  • Automated sentiment score prediction process. 
  • ML-based algorithms detect underlying consumer sentiment within unstructured textual data. 
  • Make use of customer reviews, social media mentions, and open-ended surveys to learn about customer product relationships. 
  • Making use of customer satisfaction and net promoter score (NPS) survey data to identify customer pain points throughout their journey. 


Customer-Centric Insights

We fine-tune products delivering value supported by agility, customer centricity, and actionable insights.

Flexible & Contextual Solutions

We enable a virtuous cycle of insight generation by combining context, analytical skills, and quality delivery.

Who We Work With


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Unlock key predictive insights and deliver business outcomes through production deployment of the latest data science models and enable accelerated growth.