Our team delivers tailor-made data-based decision-making to create innovative models that automate your business operations and enhance your customers’ experience. With the aid of ML, you’ll also be able to make better-informed decisions, forecast sales, improve user analytics, just to name a few opportunities. Our team is experienced in different business categories from finance, insurance, retail, manufacturing, healthcare, marketing, and more. We make the most of machine learning to accelerate business operation and increase growth.
Our CV solution address business challenges that arise in various industry. Pedigrine creates a solution capable of recognizing objects, classifying photos, colors, and indexing to content. the process of images and videos in search of specific information and valuable insights. With our Computer Vision services, you’ll be able to automate the long and demanding process, from content moderation to verifies clients’ identity.
Our predictive analysis enables you to expand your analytics capabilities. And give you a forecast of future conditions and challenges in business trends, market, and company’s future outcomes. When it comes to important business decisions, we offer the best technologies in addition to our experience in analytics to give the most effective solutions basing on understanding the needs and behavioral patterns of our clients’.
Our AI engineers work on developing unique prediction models using ML techniques. Our forecasting services are designed to help businesses to look into the market insights and predict the future demands of their products and services. We use linear and non-linear regression analysis, experimental studies, time series modeling, observational studies, and various other advanced tools to offer data modeling solutions that offer valuable statistical analysis that further find out new opportunities that attain business goals.
We can apply machine learning and natural language processing methods to help you with all kinds of speech recognition, text, including documents, social media posts, surveys, emotions, semantic search, question and answer, and chatbot conversations. One of the most popular applications of Text Analytics is automatic topic detection and sentiment analysis, which is particularly helpful when it comes to understanding your userbase’s needs.