Transform raw data into comprehensive and intuitive ML tools that enable faster, smarter decision making.
Why adopt Machine
Learning for your business?
Integrate ML with AI to innovate and explore new opportunities in your industry. ML solutions offer insights to help you take predictive action that ultimately steady and scale your business.
Take preventative measures to decrease equipment breakdowns
Resolve key business challenges and decrease operational costs
Leverage customer data to amplify marketing and sales effort
Integrate multiple layers of intelligence powered by artificial neural networks into business functions and systems. Harness the power of data to streamline business processes and significantly improve business metrics.
Discover the power of data to drive business and unlock its hidden potential. Target unseen and hidden areas of business for high growth.
Information or data analysis
Create systems that learn from the information and data available, identify patterns and make decisions with minimal human intervention.
Anomaly or fraud detection
Identify critical incidents, technical glitches, potential threats or opportunities to automatically understand the loopholes in the system and track anyone who exploits it
Forward-looking insights that help you take preemptive actions to minimize risk. Make clear business decisions by anticipating emerging trends to achieve the best outcomes.
Change the way your data analysts analyze the data. Derive more insights and respond to risks more quickly.
Generate insights with precision. Make informed predictions about future outcomes based on historical data and analytics techniques.
Natural language processing (NLP)
Enable understanding, interaction and communication between humans and machines. Extract critical insights from large, unstructured data to accelerate your business processes.
Obtain critical human information such as the feelings, thoughts, judgments or evaluations of your customers/users to provide personalized outcomes.
Patterns automatically extract and create structured data from raw and unstructured data to help you quickly analyse reports and data
Identify and categorize the data to place it under the right areas. Filters for data allow you to keep track of everything and take action quickly.
Provide personalized content recommendations based on previous usage patterns of users. Increase brand loyalty and stickiness of your customers.
Detect and classify images and extract insights from visual data to take actions or make recommendations based on that information.
Analyze and understand text and images on web pages to provide better insights and a personalized experience to the users.
Optical Character Recognition (OCR)
Convert scanned text images to digital text. Search, index and collect digitised data for scanning operations and identity verification.
Machine learning use cases
Banking and Fintech
Gain competitive advantages, reduce expenses, and improve efficiencies. Optimize all areas of your banking business from risk analysis and fraud detection to marketing.
Make data-driven decisions for all areas of healthcare business from disease propensity, drug delivery optimization, hospital readmission, modelling ICU occupancy rates to health tech marketing. Use DL to recognize patterns in medical images.
Determine the effectiveness of their marketing activities and operations, target the right customers, move them further in the funnel towards a purchase, and improve customer relationships.
Apply DL models to recognize client patterns and prevent fraud. DL and ML can find the most weighted outcomes for insurance claim development, claim payment and cost estimation.
Transport and Logistics
Drive prescriptive analytics for transportation and logistics. Mitigate risks, expedite resolution of delays to prevent vehicle breakdowns, plan optimal routes, incorporate dynamic pricing, or measure estimated time through custom software solutions
Make predictions for guest arrivals and calculate the optimum prices according to the changing market conditions. Build Revenue Management Systems (RMS), recommendation engines that anticipate a guest’s needs, detect unexpected relationships or patterns to create a better customer experience.
Implement predictive maintenance, quality and yield, reduce planned and unplanned downtime, improve the reliability of production lines, recognise and define every possible design solution
Check out some of our ML and DL
development solutions for businesses