With Enago Read, researchers can smartly organize their research, receive recommendations that cannot be ignored, and collaborate with their team to read, discuss, and share knowledge. It can help researchers and publishers with literature review, including discovery and selection, organizing and citation, comprehension and analysis, and peer review.
We've officially earned the Great Place To Work®️ Certification, marking a big step forward. This recognition highlights our dedication to a thriving workplace culture, built on respect, fairness, and camaraderie over 18 years.
The Enago Read research team is responsible for the completely original in-house scholarly article summarization, recommendation, and knowledge discovery models whose accuracy far surpasses state-of-the-art algorithms when evaluated on standard benchmark evaluation datasets. The NLP approaches are multi-paradigmatic including probabilistic graphical models, reinforcement learning, deep learning, and symbolic reasoning.
The Enago Read engineering team is responsible for designing complex systems that include robust and scalable data pipelines supporting the continuous ingestion of thousands of articles and other resources every day. They are also behind designing the proprietary indexes and queries that enable blazing-fast recommendation of results pulled from our in-house search engine housing hundreds of millions of records, thereby proving a seamless user experience.
Speed up your literature review.
Connect critical reading with on-the-fly exploration, ideation, and organization.
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