mobile menu

With next generation business models, Artificial Intelligence has risen as a distinct advantage driving ambitious business requirements and systems. At stravon, we help build personalize AI-solutions that derive actionable insights to form the backbone of our partner’s AI strategy.

Our data science team and engineers help build and create an end-to-end solution to solve your complex AI challenges. We offer tailor-made, out-come driven solutions that form the backbone of your AI strategy.

With strict data-compliance, human-in-the-loop design; our talented team will be there to help build your dream AI product.

Our Capabilities
Natural Language Processing

NLP (Natural Language Processing)

Analyze behaviors, find data patterns, and build a customer segmentationmodel – all of which allows for better targeting, personalization, and an overall improved customer experience
Anomaly detection

Anomaly detection

Identify abnormal behavior to detect fraud, security issues, information breaches, medical problems, structural defects, and other malfunctions
Computer Vision

Computer Vision

Extract useful information from images and surroundings for face recognition, biometrics,with computer vision algorithms
Customer analytics

Customer analytics

Teach machines to understand text and speech as humans doto automate customer service or build chatbots
Predictive Analytics

Predictive Analytics

Glimpse into the future with the help of past and present data
Recommender systems

Recommender systems

It helps provides your target audience with relevant content, to deliver a personalized customer experience
Time series forecasting

Time series forecasting

Find patterns in your historical data to predict trends and seasonal cycles.
AI technology can enhance business productivity by up to 40%
– Source: Accenture

Use Cases
AI Recruitment use case

Top talent Recruitment using AI

The AI engine identified successful sourcing patterns and draws potential candidates out of millions of profiles by applying the machine learning algorithm to the existing resume database.
Readmore button

CARBONATED.TV – AI in the Media Industry

The stravon team is strategic partners with the team at Carbonated.tv Customer analytics is driving the revolution of customer data into real-time analytical insights.
                                               
Technologies
AI Recruitment
Top talent Recruitment using AI

Problem: Finding the right talent out of millions of resumes quickly and efficiently



Solution
  • The AI engine identified successful sourcing patterns and draws potential candidates out of millions of profiles by applying the machine learning algorithm to the existing resume database.
  • It analyzed vast amounts of unstructured data found in resumes. Made timely informed candidate recommendations based on the job posting which helped creating a vetted pool of candidates in the system ultimately decreasing time to hire.
  • The engine provides a top-notch candidate for the open position first time around. Hence, our clients have the better return on investment based on hiring success and employee performance.
CARBONATED.TV – AI in the Media Industry

The stravon team is strategic partners with the team at Carbonated.tv Customer analytics is driving the revolution of customer data into real-time analytical insights. stravon creative team helped in designing customer-focused programs, and initiatives that aided customer retention, loyalty programs, and targeted marketing campaigns.



How AI played a role
  • Machine learning algorithms suggested personalized content news based on the user data on preferences
  • Cognitive AI helped Carbonated.tv to convert the data into information and find the insights they needed to increase customer engagement and satisfaction
  • Automated content augmentation played an important role in tagging, summarizing, translating and processing the media content of Carbonated.tv
  • AI applied to video posts helped to conduct visual analysis that tracked and captured emotions instantly and facilitated content enhancement as per viewer’s choice.