Alactic AGI

Our systems intelligently gather a variety of high quality unstructured data streams across hundreds of sources, in the form of text, voice, images and videos. Our systems clean this data and are trained to extract signals across products, services, attributes, brands, sentiments, customers, markets, and trends. It gets synthesized and contextualized using our proprietary Deep Product Learning ® technology. Use our enterprise-grade integrations to ingest your private data. Assess and benchmark your view of your products and services with the competitive landscape. Our platform delivers powerful AI-driven actions where you need it - dashboard, APIs and integrations - and turn insights into action, across PIMs, CRMs, voice assistants, chatbots, and more.

Many Amazon Web Services (AWS) customers require a data storage and analytics solution that offers more agility and flexibility than traditional data management systems. A data lake is a new and increasingly popular way to store and analyze data because it allows companies to manage multiple data types from a wide variety of sources, and store this data, structured and unstructured, in a centralized repository. The AWS Cloud provides many of the building blocks required to help customers implement a secure, flexible, and cost-effective data lake. These include AWS managed services that help ingest, store, find, process, and analyze both structured and unstructured data. To support our customers as they build data lakes, AWS offers the data lake solution, which is an automated reference implementation that deploys a highly available, cost-effective data lake architecture on the AWS Cloud along with a user-friendly console for searching and requesting datasets.