
Alegion is the data labeling solution for enterprise-grade Machine Learning. We lead the industry in streaming, high-resolution, high-density video annotation, delivering accurately-annotated, model-ready data to train and validate ML models. Alegion provides both the platform and workforce to operate with quality at scale, processing structured and unstructured data including video, image, audio, and text. Our platform supports complex use cases, powered by robust ontologies and entity relationships.

Alegion is the data labeling solution for enterprise-grade Machine Learning. We lead the industry in streaming, high-resolution, high-density video annotation, delivering accurately-annotated, model-ready data to train and validate ML models. Alegion provides both the platform and workforce to operate with quality at scale, processing structured and unstructured data including video, image, audio, and text. Our platform supports complex use cases, powered by robust ontologies and entity relationships.
Core offering: End-to-end data collection and annotation (image, video, audio, text) with platform + managed workforce
Specialty: High-resolution, high-density video annotation and complex ontologies
Headquarters: Austin, Texas
Employee count (snapshot): 43
Last reported total funding: 33,200,000 USD (last funding date: 2020-07-15)
Training-data collection and annotation for machine learning/AI
Machine Learning / AI data services
Series A announced in mid-2019 (Crunchbase records); funding entries referenced again with a date of 2020-07-15 in summaries.
33200000.00 USD
Last funding date listed in company snapshot.
“RHS Investments (listed as lead on Series A); other reported investors include Hurt Family Investments and Capital Factory”