A Powerful Labeling Platform
Our industry-leading platform provides annotation for image, video, and text. It integrates machine learning to improve efficiency and accuracy and it's designed with maximum flexibility to handle the most complex labeling needs. Integrate through our robust API and monitor labeling through our Data Science Portal.
Fully Managed Labeling Services
Completely offload your labeling needs to our experienced team. We have a highly-skilled annotation workforce, trained data science professionals, and ML expertise to manage your labeling initiatives. We train and monitor the performance of annotators, design and optimize labeling tasks, and own the delivery of quality.
Flex for ML Experimentation
Alegion Flex helps data science teams rapidly iterate through many different experiments by moving fast and labeling smaller datasets in order to prove ROI. Once proven, successful experiments can then move into Alegion Focus, where scaled labeled data is required to drive the model to its peak precision.
Accurate Training Data at Scale For Every Major Machine Learning Discipline
High-quality data for your image and video use cases, annotated and validated by a combination of task-trained human annotators and machine learning-enhanced tools.
Natural Language Processing
For your subjective NLP use cases, machine learning- augmented platform capabilities assist human annotators to extract meaning, intent, and sentiment from raw audio or text.
Model training never stops, and neither do we
Alegion adds value at every stage of your project
We enrich your data to convert them into large-scale training datasets using a combination of machine learning and human judgement.
We help evaluate the accuracy of your model at every training stage via API data exchange, improving confidence with every iteration.
After deployment, we help you to improve your model’s performance through human-assisted, real-time exception handling of edge cases.
What our customers have to say
Chief Commercial Officer, IAA Inc.
Alegion's annotation tools, machine learning assistance, and quality control strategies have greatly improved confidence in our AI initiatives.
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