Our artificial intelligence (AI) systems and machine learning (ML) models enable our customers to act on business-critical insights, identify patterns, and scale their operations. From managing and prioritizing support tickets to forecasting sales opportunities, our solutions are both informative and easy to use. Our solution insights serve over 100,000 global users, with our process automation implementations increasing efficiency by an average of 50%.
Our forecast model analyzes the impact of global sales deals on annual revenue
Learn more about our forecast modelOur prioritization model enables our client to respond to 15 million support tickets a month
Learn more about our prioritization modelOur sentiment analysis reduces the time organizers spend evaluating event feedback from hours to seconds
Learn more about our sentiment analysis toolOur emotion analyzer uses video to evaluate real-time audience sentiment from facial expressions
Learn more about our emotion analyzerOur recommendation model identifies prospective customers with the highest sales potential
Learn more about our recommendation modelWe created a chatbot that can answer over 5,000 question types with 90% accuracy
Learn more about our chatbotOur anomaly detection model effectively anticipates support and staffing needs
Learn more about our anomaly detection modelOur text analytics engine converts unstructured text into meaningful insights
Try out our Text Analytics EngineWhat are you doing with your text data? Social media posts, event feedback, customer comments – all are valuable sources of information. With so much data at your disposal, it can be hard to identify actionable insights. Our Text Analytics Engine does that for you.
Optimize customer support channels. Using predictive analytics, our SuSAn dashboard enables support channels to close tickets faster and improve customer satisfaction.
We offer a range of AI & ML consulting options on AppSource. During these engagements, we enable you to extract meaningful insights and eliminate routine tasks using ML models trained on your data.