Emerge5 Ep.1: AI and Data Companies

Superwise is defining a new category of performance management for artificial intelligence. The company’s AI assurance platform monitors the performance of AI in production for enterprises to achieve optimal business results while mitigating potential commercial disasters. Superwise detects errors and bias with AI models and provides root cause analysis and remediation to keep AI-driven businesses on track 

Explorium aims to be the world leader in data discovery for machine learning and artificial intelligence applications. The company offers the only data science platform that automatically enriches customer data with underutilized internal data silos and untapped external datasets to build the most accurate predictive models. They want to make sure that you understand the impact of that data and then generate insights and drive results across your business with their streamlined data science platform, powerful data engine, and transformative data-science-as-a-service.

The Dataloop platform streamlines the process of preparing visual data for machine learning. Dataloop is a one-stop-shop for building and deploying powerful computer vision pipelines – data labeling, automating data ops, customizing production pipelines, and weaving the human-in-the-loop for data validation. They want to make sure machine learning-based systems are accessible, affordable, and scalable for all.

Superfly Insights provides a live view of company performance and consumer behavior. They achieve this by using proprietary technology to extract and synthesize alternative data. Another fascinating element is their privacy-enhancing technology that eliminates the risk of identifying any individual user, gets rid of PII, and creates synthetic datasets for extra protection. They then aggregate the profiles to deliver easy-to-consume, dynamic, and actionable insights via SaaS tools, API, and other methods.

The goal for Datomize is to liberate the use of personal data for the purpose of business growth and operational optimisation in the privacy domain. Datomize can distinguish important features within the original data and synthesize new data that preserves the main behavioral features identified, including feature distributions, entity relationships, correlations between different characteristics, and event sequences.