Amp.ai

About Amp.ai

Amp.ai, by Scaled Inference, is an artificial intelligence (AI) platform designed to help enterprises enhance metrics through the contextual and continuous optimization of their website, mobile app, UX and UI, using machine learning and monitoring technology. Amp.ai uses AI technology to analyze all available signals and match the user’s variants with precise audience segments. Amp.ai then actively monitors the user’s segments and adapts to any changes to achieve the best metrics over time. Amp.ai operates in two stages; analyze and optimize. First, Amp.ai considers the user’s events and properties in order to learn the key contexts important to the specified key metrics. The Amp.ai solution uses the contextual performance metrics to help design new and improved variations for optimization. Amp.ai can analyze different events including, but not limited to, ‘in the morning at the office working on a Mac’, ‘at the beach on vacation’, ‘running errands on personal time (bad connection)’ or ‘working at night while traveling in Sweden’. Amp.ai’s second stage is optimize. Machine learning technology enables users to see the most relevant variation for each segment. Amp.ai’s optimization tools aim to improve or increase areas such as website customer acquisition rate, media engagement, eCommerce conversion rates despite connection issues, and SaaS app engagement despite travel distractions. To get started, users simply need to get their project key, then observe events and decide actions, before enabling the optimization of actions for metrics. Amp.ai then deploys contextual action policies to the user’s software straight away.