we evaluate millions of data points to predict how an enterprise's customers are likely to interact. will a customer make a purchase? will they cancel service? will they pay a bill? we use machine learning and Bayesian statistics to calculate such propensities in milliseconds.

we use artificial intelligence techniques to establish what types of customers they are most effective with. should a particular agent interact with a first-time customer? is that agent more effective with a customer likely to buy a product? every time an agent interacts with a customer, we learn more about that agent and can more accurately target customers uniquely suited to the agent.

whether a customer reaches out over video, voice, or text, we establish the ideal agent for that customer in less than a tenth of a second. Then we help connect the right agent to the right customer by interfacing with our client's contact center systems.