Pryon is an Artificial Intelligence (AI) company focused on enterprise knowledge management (KM). Its natural language processing (NLP) platform transforms Unstructured Data into experiences that increase productivity with unmatched accuracy and speed. Pryon’s automated Machine Learning (ML) engines deliver rapid time to value by enriching existing content. This no-code approach prevents operational disruption and allows organizations to quickly maximize the business value trapped within their information assets. Pryon was founded by Igor Jablokov, whose previous company defined the state of the art for AI assistants and was acquired by Amazon to form the basis for Alexa.

DataFactZ is a Data Analytics company focused on enabling data-driven transformation. DataFactZ supports many leading data and analytics platforms and has solid partnerships with many tech providers. They combine several Data Science techniques from statistics, Machine Learning, deep learning, decision science, cognitive science and business intelligence, offering solutions such as data management, predective analytics and data engineering to businesses.

Tellius is an AI-powered business analytics platform designed to help enterprises accelerate data-driven insight and decision-making. Tellius makes use of search-enabled visualizations and a proprietary recommendation engine that automates the basic interpretation and analysis of data. Tellius uses Machine Learning to analyze data and find hidden correlations, trends, and anomalies which are then presented as a set of suggested visualizations and predictive models. Unlike traditional business intelligence tools, Tellius is built on a distributed architecture (Apache Spark) which provides the basis required for Big Data environments.

InData Labs’ mission is to help clients rocket their competitiveness and get brilliant results of their work unseen before. As a Data Science firm with AI-powered solutions provider with its own R&D center, InData Labs helps businesses of all sizes all over the world to get valuable insights into data, automate repetitive tasks, enhance performance, add AI-driven features, and prevent cost overruns.