Alegion, an Austin, Texas-based data labeling platform for enterprise data science teams, completed a $12m Series A-2 round of funding.
The round was led by RHS Investments.
The company will use the capital to accelerate the integration of Active Learning and other strategic technologies into its Machine Learning Data Labeling Platform.
Led by Nathaniel Gates, CEO and founder, Alegion provides a platform that blends human and machine intelligence to provide accurate labeled data used to train or validate customer’s machine learning models. Active Learning enables the system to learn while observing the human workers, eventually supplementing or even replacing human judgement with ML inference.
The platform delivers data solutions spanning the model development lifecycle to allow Fortune 500 companies across retail, finance, technology, automotive, defense, agriculture, and healthcare industries to accelerate their AI and ML initiatives and increase model confidence.
Alegion employs over 75 people between its headquarters in Austin, TX, and Kuala Lumpur, Malaysia.